From 0c80db1f254b5e541732fb01cf8fec6af257fcd1 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Mon, 16 Dec 2024 10:01:41 -0800 Subject: [PATCH 01/26] MultimodalQnA updates to add support for image queries (#23) * Add var for LVM model Signed-off-by: dmsuehir * README updates and tests Signed-off-by: dmsuehir * Build, compose, and doc updates for audio query (#12) Signed-off-by: okhleif-IL * validated, updated tests Signed-off-by: okhleif-IL * added one more curl test for audio Signed-off-by: okhleif-IL * fixed typo Signed-off-by: okhleif-IL * reverted git clone command Signed-off-by: okhleif-IL * added ASR test Signed-off-by: okhleif-IL * fixed command with backslashes Signed-off-by: okhleif-IL --------- Signed-off-by: Melanie Buehler Signed-off-by: okhleif-IL Signed-off-by: dmsuehir * MMQnA doc update correcting ASR and whisper image names (#24) * MMQnA doc update correcting ASR and whisper image names Signed-off-by: dmsuehir * Add image tags Signed-off-by: dmsuehir --------- Signed-off-by: dmsuehir * Integrate audio query into UI (#22) * Enabled audio query functionality in the MultimodalQnA UI Signed-off-by: Melanie Buehler * Temporarily redirect clones for tests Signed-off-by: Melanie Buehler * Doc update and set MAX_IMAGES to default to 1 in compose.yaml Signed-off-by: dmsuehir * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * README update to add a note about MAX_IMAGES Signed-off-by: dmsuehir * Add services to tests and correct small text error (#26) * Add services to tests and correct small text error Signed-off-by: Melanie Buehler * Revert unintended changes Signed-off-by: Melanie Buehler --------- Signed-off-by: Melanie Buehler * Fixed build.yaml inconsistency Signed-off-by: Melanie Buehler * Moving note about MAX_IMAGES due to review feedback: Signed-off-by: dmsuehir * Update repo clones for E2E tests Signed-off-by: Melanie Buehler * Moved Audio Query Gateway changes to multimodalqna.py (#29) * Moved gateway changes to multimodalqna.py Signed-off-by: okhleif-IL * reverted port changes Signed-off-by: okhleif-IL * addressed review comments Signed-off-by: okhleif-IL * reverted print statement Signed-off-by: okhleif-IL --------- Signed-off-by: okhleif-IL * Removed proxies arg from translation request (#31) * Moved gateway changes to multimodalqna.py Signed-off-by: okhleif-IL * reverted port changes Signed-off-by: okhleif-IL * addressed review comments Signed-off-by: okhleif-IL * reverted print statement Signed-off-by: okhleif-IL * removed proxies Signed-off-by: okhleif-IL --------- Signed-off-by: okhleif-IL * Add MAX_IMAGES to docs Signed-off-by: dmsuehir * Moved gateway updates for image query to GenAIExamples Signed-off-by: dmsuehir * Fix initial input format for TextImageDoc Signed-off-by: dmsuehir * Fix merge conflict Signed-off-by: dmsuehir * Fix merge conflict Signed-off-by: dmsuehir * Add Gaudi tests Signed-off-by: dmsuehir * Temporary update to use dev branch for test Signed-off-by: dmsuehir * Temporary change for dockerfile to use dev fork/branch for GenAIComps Signed-off-by: dmsuehir --------- Signed-off-by: dmsuehir Signed-off-by: Melanie Buehler Signed-off-by: okhleif-IL Co-authored-by: Omar Khleif Co-authored-by: Melanie Hart Buehler Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Abolfazl Shahbazi <12436063+ashahba@users.noreply.github.com> --- MultimodalQnA/Dockerfile | 3 +- .../docker_compose/intel/cpu/xeon/README.md | 22 ++++++ .../intel/cpu/xeon/compose.yaml | 2 + .../docker_compose/intel/cpu/xeon/set_env.sh | 1 + .../docker_compose/intel/hpu/gaudi/README.md | 26 ++++++- .../intel/hpu/gaudi/compose.yaml | 2 + .../docker_compose/intel/hpu/gaudi/set_env.sh | 1 + MultimodalQnA/multimodalqna.py | 68 ++++++++++++++++--- MultimodalQnA/tests/test_compose_on_gaudi.sh | 19 +++++- MultimodalQnA/tests/test_compose_on_xeon.sh | 19 +++++- 10 files changed, 147 insertions(+), 16 deletions(-) diff --git a/MultimodalQnA/Dockerfile b/MultimodalQnA/Dockerfile index 534203c96e..7fc5c6e89c 100644 --- a/MultimodalQnA/Dockerfile +++ b/MultimodalQnA/Dockerfile @@ -13,7 +13,8 @@ RUN useradd -m -s /bin/bash user && \ chown -R user /home/user/ WORKDIR /home/user/ -RUN git clone https://github.com/opea-project/GenAIComps.git +#RUN git clone https://github.com/opea-project/GenAIComps.git +RUN git clone https://github.com/mhbuehler/GenAIComps.git --single-branch --branch dina/image_query WORKDIR /home/user/GenAIComps RUN pip install --no-cache-dir --upgrade pip setuptools && \ diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index dcd145bbd7..2122122f01 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -88,6 +88,7 @@ export LLAVA_SERVER_PORT=8399 export LVM_ENDPOINT="http://${host_ip}:8399" export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" +export MAX_IMAGES=1 export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} @@ -103,6 +104,11 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_ Note: Please replace with `host_ip` with you external IP address, do not use localhost. +> Note: The `MAX_IMAGES` environment variable is used to specify the maximum number of images that will be sent from the LVM service to the LLaVA server. +> If an image list longer than `MAX_IMAGES` is sent to the LVM server, a shortened image list will be sent to the LLaVA service. If the image list +> needs to be shortened, the most recent images (the ones at the end of the list) are prioritized to send to the LLaVA service. Some LLaVA models have not +> been trained with multiple images and may lead to inaccurate results. If `MAX_IMAGES` is not set, it will default to `1`. + ## 🚀 Build Docker Images ### 1. Build embedding-multimodal-bridgetower Image @@ -379,6 +385,7 @@ curl -X POST \ 8. MegaService +Test the MegaService with a text query: ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -386,6 +393,21 @@ curl http://${host_ip}:8888/v1/multimodalqna \ -d '{"messages": "What is the revenue of Nike in 2023?"}' ``` +Test the MegaService with an audio query: +```bash +curl http://${host_ip}:8888/v1/multimodalqna \ + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' +``` + +Test the MegaService with a text and image query: +```bash +curl http://${host_ip}:8888/v1/multimodalqna \ + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Green bananas in a tree"}, {"type": "image_url", "image_url": {"url": "http://images.cocodataset.org/test-stuff2017/000000004248.jpg"}}]}]}' +``` + +Test the MegaService with a back and forth conversation between the user and assistant: ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml index 4f9900db72..444396a280 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml @@ -113,6 +113,7 @@ services: http_proxy: ${http_proxy} https_proxy: ${https_proxy} LVM_ENDPOINT: ${LVM_ENDPOINT} + MAX_IMAGES: ${MAX_IMAGES:-1} restart: unless-stopped multimodalqna: image: ${REGISTRY:-opea}/multimodalqna:${TAG:-latest} @@ -135,6 +136,7 @@ services: MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE} MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP} LVM_SERVICE_HOST_IP: ${LVM_SERVICE_HOST_IP} + LVM_MODEL_ID: ${LVM_MODEL_ID} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} ipc: host diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh index b9c9e3d5ea..77625f48ba 100755 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh @@ -22,6 +22,7 @@ export LLAVA_SERVER_PORT=8399 export LVM_ENDPOINT="http://${host_ip}:8399" export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" +export MAX_IMAGES=1 export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index 67e95cb51b..b83d1547c4 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -34,6 +34,7 @@ export LLAVA_SERVER_PORT=8399 export LVM_ENDPOINT="http://${host_ip}:8399" export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" +export MAX_IMAGES=1 export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} @@ -52,6 +53,11 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_ Note: Please replace with `host_ip` with you external IP address, do not use localhost. +> Note: The `MAX_IMAGES` environment variable is used to specify the maximum number of images that will be sent from the LVM service to the LLaVA server. +> If an image list longer than `MAX_IMAGES` is sent to the LVM server, a shortened image list will be sent to the LLaVA service. If the image list +> needs to be shortened, the most recent images (the ones at the end of the list) are prioritized to send to the LLaVA service. Some LLaVA models have not +> been trained with multiple images and may lead to inaccurate results. If `MAX_IMAGES` is not set, it will default to `1`. + ## 🚀 Build Docker Images First of all, you need to build Docker Images locally and install the python package of it. @@ -328,6 +334,7 @@ curl -X POST \ 8. MegaService +Test the MegaService with a text query: ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -335,8 +342,23 @@ curl http://${host_ip}:8888/v1/multimodalqna \ -d '{"messages": "What is the revenue of Nike in 2023?"}' ``` +Test the MegaService with an audio query: +```bash +curl http://${host_ip}:8888/v1/multimodalqna \ + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' +``` + +Test the MegaService with a text and image query: +```bash +curl http://${host_ip}:8888/v1/multimodalqna \ + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Green bananas in a tree"}, {"type": "image_url", "image_url": {"url": "http://images.cocodataset.org/test-stuff2017/000000004248.jpg"}}]}]}' +``` + +Test the MegaService with a back and forth conversation between the user and assistant: ```bash curl http://${host_ip}:8888/v1/multimodalqna \ - -H "Content-Type: application/json" \ - -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "hello, "}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": "chao, "}], "max_tokens": 10}' + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "hello, "}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": "chao, "}], "max_tokens": 10}' ``` diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml index 87a6821c77..4b7e1a2326 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml @@ -130,6 +130,7 @@ services: LVM_ENDPOINT: ${LVM_ENDPOINT} HF_HUB_DISABLE_PROGRESS_BARS: 1 HF_HUB_ENABLE_HF_TRANSFER: 0 + MAX_IMAGES: ${MAX_IMAGES:-1} restart: unless-stopped multimodalqna: image: ${REGISTRY:-opea}/multimodalqna:${TAG:-latest} @@ -152,6 +153,7 @@ services: MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE} MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP} LVM_SERVICE_HOST_IP: ${LVM_SERVICE_HOST_IP} + LVM_MODEL_ID: ${LVM_MODEL_ID} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} ipc: host diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh index 9ca2d6d9fc..2a2bfc45e3 100755 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh @@ -22,6 +22,7 @@ export LLAVA_SERVER_PORT=8399 export LVM_ENDPOINT="http://${host_ip}:8399" export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" +export MAX_IMAGES=1 export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} diff --git a/MultimodalQnA/multimodalqna.py b/MultimodalQnA/multimodalqna.py index 87565a5b8a..3c5a855d6a 100644 --- a/MultimodalQnA/multimodalqna.py +++ b/MultimodalQnA/multimodalqna.py @@ -36,6 +36,7 @@ class MultimodalQnAService(Gateway): def __init__(self, host="0.0.0.0", port=8000): self.host = host self.port = port + self._role_labels = self._get_role_labels() self.lvm_megaservice = ServiceOrchestrator() self.megaservice = ServiceOrchestrator() @@ -74,6 +75,32 @@ def add_remote_service(self): # for lvm megaservice self.lvm_megaservice.add(lvm) + def _get_role_labels(self): + """ + Returns a dictionary of role labels that are used in the chat prompt based on the LVM_MODEL_ID + environment variable. The function defines the role labels used by the llava-1.5, llava-v1.6-vicuna, + llava-v1.6-mistral, and llava-interleave models, and then defaults to use "USER:" and "ASSISTANT:" if the + LVM_MODEL_ID is not one of those. + """ + lvm_model = os.getenv("LVM_MODEL_ID", "") + + # Default to labels used by llava-1.5 and llava-v1.6-vicuna models + role_labels = { + "user": "USER:", + "assistant": "ASSISTANT:" + } + + if "llava-interleave" in lvm_model: + role_labels["user"] = "<|im_start|>user" + role_labels["assistant"] = "<|im_end|><|im_start|>assistant" + elif "llava-v1.6-mistral" in lvm_model: + role_labels["user"] = "[INST]" + role_labels["assistant"] = " [/INST]" + elif "llava-1.5" not in lvm_model and "llava-v1.6-vicuna" not in lvm_model: + print(f"[ MultimodalQnAGateway ] Using default role labels for prompt formatting: {role_labels}") + + return role_labels + # this overrides _handle_message method of Gateway def _handle_message(self, messages): images = [] @@ -87,6 +114,7 @@ def _handle_message(self, messages): messages_dict = {} system_prompt = "" prompt = "" + role_label_dict = self._role_labels for message in messages: msg_role = message["role"] messages_dict = {} @@ -129,20 +157,24 @@ def _handle_message(self, messages): for role, message in messages_dict.items(): if isinstance(message, tuple): text, decoded_audio_input, image_list = message + # Remove empty items from the image list + image_list = [x for x in image_list if x] + # Add image indicators within the conversation + image_tags = "\n" * len(image_list) if i == 0: # do not add role for the very first message. # this will be added by llava_server if text: - prompt += text + "\n" + prompt += image_tags + text + "\n" elif decoded_audio_input: - prompt += decoded_audio_input + "\n" + prompt += image_tags + decoded_audio_input + "\n" else: if text: - prompt += role.upper() + ": " + text + "\n" + prompt += role_label_dict[role] + " " + image_tags + text + "\n" elif decoded_audio_input: - prompt += role.upper() + ": " + decoded_audio_input + "\n" + prompt += role_label_dict[role] + " " + image_tags + decoded_audio_input + "\n" else: - prompt += role.upper() + ":" + prompt += role_label_dict[role] + " " + image_tags if image_list: for img in image_list: @@ -173,9 +205,9 @@ def _handle_message(self, messages): prompt += message + "\n" else: if message: - prompt += role.upper() + ": " + message + "\n" + prompt += role_label_dict[role] + " " + message + "\n" else: - prompt += role.upper() + ":" + prompt += role_label_dict[role] if images: b64_types["image"] = images @@ -204,13 +236,23 @@ def convert_audio_to_text(self, audio): return response["query"] async def handle_request(self, request: Request): + """ + MultimodalQnA accepts input queries as text, images, and/or audio. The messages in the request can be a single + message (which would be assumed to be a first query from the user) or back and forth conversation between the + user and the assistant. + Audio queries are converted to text before being sent to the megaservice and the translated text is returned + as part of the metadata in the response. + First queries are sent to the full Multimodal megaserivce, which includes using the embedding microservice and + retriever, in order to get relevant information from the vector store to send to the LVM along with the user's + query. Follow up queries are sent directly to the LVM without searching for more similar information from the + vector store. + """ data = await request.json() stream_opt = bool(data.get("stream", False)) if stream_opt: print("[ MultimodalQnAService ] stream=True not used, this has not support streaming yet!") stream_opt = False chat_request = ChatCompletionRequest.model_validate(data) - # Multimodal RAG QnA With Videos has not yet accepts image as input during QnA. num_messages = len(data["messages"]) if isinstance(data["messages"], list) else 1 messages = self._handle_message(chat_request.messages) decoded_audio_input = "" @@ -224,7 +266,7 @@ async def handle_request(self, request: Request): # for metadata storage purposes decoded_audio_input = b64_types["audio"] if "image" in b64_types: - initial_inputs = {"prompt": prompt, "image": b64_types["image"][0]} + initial_inputs = {"prompt": prompt, "image": b64_types["image"]} else: initial_inputs = {"prompt": prompt, "image": ""} else: @@ -235,12 +277,16 @@ async def handle_request(self, request: Request): cur_megaservice = self.megaservice if isinstance(messages, tuple): prompt, b64_types = messages + initial_inputs = {"text": prompt} if "audio" in b64_types: # for metadata storage purposes decoded_audio_input = b64_types["audio"] + if "image" in b64_types and len(b64_types["image"]) > 0: + # Format initial inputs to match TextImageDoc + initial_inputs["text"] = {"text": prompt} + initial_inputs["image"] = {"base64_image": b64_types["image"][0]} else: - prompt = messages - initial_inputs = {"text": prompt} + initial_inputs = {"text": messages} parameters = LLMParams( max_new_tokens=chat_request.max_tokens if chat_request.max_tokens else 1024, diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 0c522dd08f..c6fa2ff205 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -20,7 +20,7 @@ export caption_fn="apple.txt" function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding-multimodal retriever-multimodal-redis lvm-tgi dataprep-multimodal-redis whisper asr" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log @@ -45,6 +45,7 @@ function setup_env() { export LVM_ENDPOINT="http://${host_ip}:8399" export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-7b-hf" + export MAX_IMAGES=1 export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} @@ -212,6 +213,14 @@ function validate_microservices() { "tgi-llava-gaudi-server" \ '{"inputs":"![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png)What is this a picture of?\n\n","parameters":{"max_new_tokens":16, "seed": 42}}' + echo "Evaluating LLAVA tgi-gaudi with multiple images" + validate_service \ + "http://${host_ip}:${LLAVA_SERVER_PORT}/generate" \ + '"generated_text":' \ + "tgi-gaudi" \ + "tgi-llava-gaudi-server" \ + '{"inputs":"![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNkYPhfz0AEYBxVSF+FAP5FDvcfRYWgAAAAAElFTkSuQmCC)![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC)What is the content of these two images?\n\n","parameters":{"max_new_tokens":32, "seed": 42}}' + # lvm echo "Evaluating lvm-tgi" validate_service \ @@ -250,6 +259,14 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' + echo "Validate megaservice with first query with an image" + validate_service \ + "http://${host_ip}:8888/v1/multimodalqna" \ + '"time_of_frame_ms":' \ + "multimodalqna" \ + "multimodalqna-backend-server" \ + '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Find a similar image"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}]}' + echo "Validate megaservice with follow-up query" validate_service \ "http://${host_ip}:8888/v1/multimodalqna" \ diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 0475272206..bd44abdd54 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -20,7 +20,7 @@ export caption_fn="apple.txt" function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding-multimodal retriever-multimodal-redis lvm-llava lvm-llava-svc dataprep-multimodal-redis whisper asr" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log @@ -42,6 +42,7 @@ function setup_env() { export LLAVA_SERVER_PORT=8399 export LVM_ENDPOINT="http://${host_ip}:8399" export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" + export MAX_IMAGES=1 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} @@ -210,6 +211,14 @@ function validate_microservices() { "lvm-llava" \ '{"prompt":"Describe the image please.", "img_b64_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC"}' + echo "Evaluating lvm-llava with a list of images" + validate_service \ + "http://${host_ip}:${LLAVA_SERVER_PORT}/generate" \ + '"text":' \ + "lvm-llava" \ + "lvm-llava" \ + '{"prompt":"Describe the image please.", "img_b64_str": ["iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC","iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNkYPhfz0AEYBxVSF+FAP5FDvcfRYWgAAAAAElFTkSuQmCC"]}' + # lvm echo "Evaluating lvm-llava-svc" validate_service \ @@ -248,6 +257,14 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' + echo "Validate megaservice with first query with an image" + validate_service \ + "http://${host_ip}:8888/v1/multimodalqna" \ + '"time_of_frame_ms":' \ + "multimodalqna" \ + "multimodalqna-backend-server" \ + '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Find a similar image"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}]}' + echo "Validate megaservice with follow-up query" validate_service \ "http://${host_ip}:8888/v1/multimodalqna" \ From 7e05f5756a06a4cdef1654a0d4a61e134fa53079 Mon Sep 17 00:00:00 2001 From: Harsha Ramayanam Date: Tue, 17 Dec 2024 11:13:21 -0800 Subject: [PATCH 02/26] Added logic for image_query Signed-off-by: Harsha Ramayanam --- MultimodalQnA/ui/gradio/conversation.py | 37 ++++++++++++++++++- .../ui/gradio/multimodalqna_ui_gradio.py | 18 ++++++++- 2 files changed, 52 insertions(+), 3 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index f080d7a154..d0471f74ed 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -3,7 +3,8 @@ import dataclasses from enum import Enum, auto -from typing import List +from typing import List, Dict +from PIL import Image from utils import convert_audio_to_base64, get_b64_frame_from_timestamp @@ -21,6 +22,7 @@ class Conversation: system: str roles: List[str] messages: List[List[str]] + image_query_files: Dict[int, str] offset: int sep_style: SeparatorStyle = SeparatorStyle.SINGLE sep: str = "\n" @@ -32,6 +34,7 @@ class Conversation: split_video: str = None image: str = None audio_query_file: str = None + image_query_file: str = None def _template_caption(self): out = "" @@ -45,6 +48,9 @@ def get_prompt(self): # Need to do RAG. If the query is text, prompt is the query only if self.audio_query_file: ret = [{"role": "user", "content": [{"type": "audio", "audio": self.get_b64_audio_query()}]}] + elif self.image_query_file: + b64_image = get_b64_frame_from_timestamp(self.image_query_file, 0) + ret = [{"role": "user", "content": [{"type": "text", "text": self.messages[0][1]},{"type": "image_url", "image_url": {"url": b64_image}}]}] else: ret = messages[0][1] else: @@ -56,6 +62,8 @@ def get_prompt(self): dic = {"role": role} if self.audio_query_file: content = [{"type": "audio", "audio": self.get_b64_audio_query()}] + elif self.image: + content = [{"type": "image_url", "image_url": {"url": self.image_query_file}}] else: content = [{"type": "text", "text": message}] if i == 0 and self.time_of_frame_ms and self.video_file: @@ -117,6 +125,31 @@ def to_gradio_chatbot(self): img_str = f'user upload image' msg = img_str + msg.replace("", "").strip() ret.append([msg, None]) + elif self.image_query_file: + import base64 + from io import BytesIO + + image = Image.open(self.image_query_files[i]) + max_hw, min_hw = max(image.size), min(image.size) + aspect_ratio = max_hw / min_hw + max_len, min_len = 800, 400 + shortest_edge = int(min(max_len / aspect_ratio, min_len, min_hw)) + longest_edge = int(shortest_edge * aspect_ratio) + W, H = image.size + if H > W: + H, W = longest_edge, shortest_edge + else: + H, W = shortest_edge, longest_edge + image = image.resize((W, H)) + buffered = BytesIO() + if image.format not in ['JPEG', 'JPG']: + image = image.convert('RGB') + image.save(buffered, format="JPEG") + img_b64_str = base64.b64encode(buffered.getvalue()).decode() + img_str = f'user upload image' + msg = img_str + msg.replace("", "").strip() + ret.append([msg, None]) + else: ret.append([msg, None]) else: @@ -128,6 +161,7 @@ def copy(self): system=self.system, roles=self.roles, messages=[[x, y] for x, y in self.messages], + image_query_files=self.image_query_files, offset=self.offset, sep_style=self.sep_style, sep=self.sep, @@ -157,6 +191,7 @@ def dict(self): system="", roles=("user", "assistant"), messages=(), + image_query_files={}, offset=0, sep_style=SeparatorStyle.SINGLE, sep="\n", diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 28d3534be5..9d78be6e53 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -54,7 +54,8 @@ def clear_history(state, request: gr.Request): return (state, state.to_gradio_chatbot(), None, None, None, None) + (disable_btn,) * 1 -def add_text(state, text, audio, request: gr.Request): +def add_text(state, textbox, audio, request: gr.Request): + text = textbox['text'] logger.info(f"add_text. ip: {request.client.host}. len: {len(text)}") if audio: state.audio_query_file = audio @@ -62,6 +63,14 @@ def add_text(state, text, audio, request: gr.Request): state.append_message(state.roles[1], None) state.skip_next = False return (state, state.to_gradio_chatbot(), None, None) + (disable_btn,) * 1 + elif textbox['files']: + image_file = textbox['files'][0] + state.image_query_file = image_file + state.image_query_files[len(state.messages)] = image_file + state.append_message(state.roles[0], text) + state.append_message(state.roles[1], None) + state.skip_next = False + return (state, state.to_gradio_chatbot(), None, None) + (disable_btn,) * 1 elif len(text) <= 0: state.skip_next = True return (state, state.to_gradio_chatbot(), None, None) + (no_change_btn,) * 1 @@ -94,6 +103,8 @@ def http_bot(state, request: gr.Request): new_state.append_message(new_state.roles[0], state.messages[-2][1]) new_state.append_message(new_state.roles[1], None) new_state.audio_query_file = state.audio_query_file + new_state.image_query_file = state.image_query_file + new_state.image_query_files = state.image_query_files state = new_state # Construct prompt @@ -464,9 +475,11 @@ def select_upload_type(choice, request: gr.Request): with gr.Column(scale=8): with gr.Tabs(): with gr.TabItem("Text Query"): - textbox = gr.Textbox( + textbox = gr.MultimodalTextbox( show_label=False, container=True, + submit_btn=False, + file_types=['image'] ) with gr.TabItem("Audio Query"): audio = gr.Audio( @@ -546,3 +559,4 @@ def select_upload_type(choice, request: gr.Request): dataprep_gen_caption_addr = dataprep_gen_caption_endpoint uvicorn.run(app, host=args.host, port=args.port) + \ No newline at end of file From e903d3353d6258826af51937aaa439e6fb56be92 Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Wed, 18 Dec 2024 09:33:55 -0800 Subject: [PATCH 03/26] Dynamic wait for lvm service in MultimodalQnA tests (#33) * Adds dynamic wait to MMQnA tests Signed-off-by: Melanie Buehler * Fix for empty grep result Signed-off-by: Melanie Buehler * Adjusted test for gaudi Signed-off-by: Melanie Buehler * Fixed for Gaudi service check Signed-off-by: Melanie Buehler * Added warning to check_service_ready function Signed-off-by: Melanie Buehler --------- Signed-off-by: Melanie Buehler --- MultimodalQnA/tests/test_compose_on_gaudi.sh | 26 +++++++++++++++++++- MultimodalQnA/tests/test_compose_on_xeon.sh | 26 +++++++++++++++++++- 2 files changed, 50 insertions(+), 2 deletions(-) diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index c6fa2ff205..4c2c0a48d1 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -18,6 +18,29 @@ export image_fn="apple.png" export video_fn="WeAreGoingOnBullrun.mp4" export caption_fn="apple.txt" +function check_service_ready() { + local container_name="$1" + local max_retries="$2" + local log_string="$3" + + for i in $(seq 1 "$max_retries") + do + service_logs=$(docker logs "$container_name" 2>&1 | grep "$log_string" || true) + if [[ -z "$service_logs" ]]; then + echo "The $container_name service is not ready yet, sleeping 30s..." + sleep 30s + else + echo "$container_name service is ready" + break + fi + done + + if [[ $i -ge $max_retries ]]; then + echo "WARNING: Max retries reached when waiting for the $container_name service to be ready" + docker logs "$container_name" >> "${LOG_PATH}/$container_name_file.log" + fi +} + function build_docker_images() { cd $WORKPATH/docker_image_build git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ @@ -202,7 +225,8 @@ function validate_microservices() { "retriever-multimodal-redis" \ "{\"text\":\"test\",\"embedding\":${your_embedding}}" - sleep 3m + echo "Wait for tgi-llava-gaudi-server service to be ready" + check_service_ready "tgi-llava-gaudi-server" 10 "Connected" # llava server echo "Evaluating LLAVA tgi-gaudi" diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index bd44abdd54..3513c581ba 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -18,6 +18,29 @@ export image_fn="apple.png" export video_fn="WeAreGoingOnBullrun.mp4" export caption_fn="apple.txt" +function check_service_ready() { + local container_name="$1" + local max_retries="$2" + local log_string="$3" + + for i in $(seq 1 "$max_retries") + do + service_logs=$(docker logs "$container_name" 2>&1 | grep "$log_string" || true) + if [[ -z "$service_logs" ]]; then + echo "The $container_name service is not ready yet, sleeping 30s..." + sleep 30s + else + echo "$container_name service is ready" + break + fi + done + + if [[ $i -ge $max_retries ]]; then + echo "WARNING: Max retries reached when waiting for the $container_name service to be ready" + docker logs "$container_name" >> "${LOG_PATH}/$container_name_file.log" + fi +} + function build_docker_images() { cd $WORKPATH/docker_image_build git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ @@ -200,7 +223,8 @@ function validate_microservices() { "retriever-multimodal-redis" \ "{\"text\":\"test\",\"embedding\":${your_embedding}}" - sleep 3m + echo "Wait for lvm-llava service to be ready" + check_service_ready "lvm-llava" 10 "Uvicorn running on http://" # llava server echo "Evaluating lvm-llava" From 480bb4a6d761cf8aa791469c102e786df8d431d5 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Wed, 18 Dec 2024 15:32:22 -0800 Subject: [PATCH 04/26] Update branch used for testing (#35) Signed-off-by: dmsuehir --- MultimodalQnA/tests/test_compose_on_gaudi.sh | 2 +- MultimodalQnA/tests/test_compose_on_xeon.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 4c2c0a48d1..cf14c3414d 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -43,7 +43,7 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding-multimodal retriever-multimodal-redis lvm-tgi dataprep-multimodal-redis whisper asr" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 3513c581ba..f25bd11b64 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -43,7 +43,7 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"dina/image_query"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding-multimodal retriever-multimodal-redis lvm-llava lvm-llava-svc dataprep-multimodal-redis whisper asr" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log From d2f8f64dad0fb9613e085dffb0c90f825b2901b7 Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Thu, 19 Dec 2024 15:57:45 -0800 Subject: [PATCH 05/26] Fix comps clone so it points to our branch (#36) Signed-off-by: Melanie Buehler --- MultimodalQnA/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/MultimodalQnA/Dockerfile b/MultimodalQnA/Dockerfile index 7fc5c6e89c..1baca70dfa 100644 --- a/MultimodalQnA/Dockerfile +++ b/MultimodalQnA/Dockerfile @@ -14,7 +14,7 @@ RUN useradd -m -s /bin/bash user && \ WORKDIR /home/user/ #RUN git clone https://github.com/opea-project/GenAIComps.git -RUN git clone https://github.com/mhbuehler/GenAIComps.git --single-branch --branch dina/image_query +RUN git clone https://github.com/mhbuehler/GenAIComps.git --single-branch --branch mmqna-image-query WORKDIR /home/user/GenAIComps RUN pip install --no-cache-dir --upgrade pip setuptools && \ From e47e9c15ff34269b9fac21546488808b8d648c33 Mon Sep 17 00:00:00 2001 From: Omar Khleif Date: Mon, 30 Dec 2024 10:07:21 -0800 Subject: [PATCH 06/26] Made all accessible GenAIExamples Ports dynamic (#34) * refactored compose and set env files Signed-off-by: okhleif-IL * updated readmes Signed-off-by: okhleif-IL * addressed review comments Signed-off-by: okhleif-IL * added env vars to compose env Signed-off-by: okhleif-IL * reverted port numbers back to defaults Signed-off-by: okhleif-IL --------- Signed-off-by: okhleif-IL --- .../docker_compose/intel/cpu/xeon/README.md | 67 +++++++++-------- .../intel/cpu/xeon/compose.yaml | 43 +++++++---- .../docker_compose/intel/cpu/xeon/set_env.sh | 58 ++++++++++----- .../docker_compose/intel/hpu/gaudi/README.md | 68 ++++++++++-------- .../intel/hpu/gaudi/compose.yaml | 44 ++++++++---- .../docker_compose/intel/hpu/gaudi/set_env.sh | 62 ++++++++++------ MultimodalQnA/multimodalqna.py | 2 +- MultimodalQnA/tests/test_compose_on_gaudi.sh | 72 +++++++++++-------- MultimodalQnA/tests/test_compose_on_xeon.sh | 71 ++++++++++-------- .../ui/gradio/multimodalqna_ui_gradio.py | 13 ++-- 10 files changed, 311 insertions(+), 189 deletions(-) diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index f5fc4c3dbe..07276501bb 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -75,31 +75,40 @@ export your_no_proxy=${your_no_proxy},"External_Public_IP" export no_proxy=${your_no_proxy} export http_proxy=${your_http_proxy} export https_proxy=${your_http_proxy} -export EMBEDDER_PORT=6006 -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" -export MM_EMBEDDING_PORT_MICROSERVICE=6000 -export ASR_ENDPOINT=http://$host_ip:7066 +export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} +export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} +export LVM_SERVICE_HOST_IP=${host_ip} +export MEGA_SERVICE_HOST_IP=${host_ip} +export WHISPER_PORT=7066 +export WHISPER_MODEL="base" +export MAX_IMAGES=1 +export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT +export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" -export REDIS_URL="redis://${host_ip}:6379" +export REDIS_DB_PORT=6379 +export REDIS_INSIGHTS_PORT=8001 +export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" -export LLAVA_SERVER_PORT=8399 -export LVM_ENDPOINT="http://${host_ip}:8399" +export DATAPREP_MMR_PORT=6007 +export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" +export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" +export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" +export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" +export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" +export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MM_EMBEDDING_PORT_MICROSERVICE=6000 +export REDIS_RETRIEVER_PORT=7000 +export LVM_PORT=9399 +export LLAVA_SERVER_PORT=8399 export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" -export MAX_IMAGES=1 -export WHISPER_MODEL="base" -export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} -export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} -export LVM_SERVICE_HOST_IP=${host_ip} -export MEGA_SERVICE_HOST_IP=${host_ip} -export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" -export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" -export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" -export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" -export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" -export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" +export LVM_ENDPOINT="http://${host_ip}:$LLAVA_SERVER_PORT" +export MEGA_SERVICE_PORT=8888 +export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:$MEGA_SERVICE_PORT/v1/multimodalqna" +export UI_PORT=5173 ``` Note: Please replace with `host_ip` with you external IP address, do not use localhost. @@ -118,7 +127,7 @@ Build embedding-multimodal-bridgetower docker image ```bash git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMBEDDER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . +docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . ``` Build embedding-multimodal microservice image @@ -227,14 +236,14 @@ docker compose -f compose.yaml up -d 1. embedding-multimodal-bridgetower ```bash -curl http://${host_ip}:${EMBEDDER_PORT}/v1/encode \ +curl http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode \ -X POST \ -H "Content-Type:application/json" \ -d '{"text":"This is example"}' ``` ```bash -curl http://${host_ip}:${EMBEDDER_PORT}/v1/encode \ +curl http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode \ -X POST \ -H "Content-Type:application/json" \ -d '{"text":"This is example", "img_b64_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC"}' @@ -260,7 +269,7 @@ curl http://${host_ip}:$MM_EMBEDDING_PORT_MICROSERVICE/v1/embeddings \ ```bash export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)") -curl http://${host_ip}:7000/v1/multimodal_retrieval \ +curl http://${host_ip}:${REDIS_RETRIEVER_PORT}/v1/multimodal_retrieval \ -X POST \ -H "Content-Type: application/json" \ -d "{\"text\":\"test\",\"embedding\":${your_embedding}}" @@ -287,14 +296,14 @@ curl http://${host_ip}:${LLAVA_SERVER_PORT}/generate \ 6. lvm-llava-svc ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [{"b64_img_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "transcript_for_inference": "yellow image", "video_id": "8c7461df-b373-4a00-8696-9a2234359fe0", "time_of_frame_ms":"37000000", "source_video":"WeAreGoingOnBullrun_8c7461df-b373-4a00-8696-9a2234359fe0.mp4"}], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' ``` ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"image": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "prompt":"What is this?"}' @@ -303,7 +312,7 @@ curl http://${host_ip}:9399/v1/lvm \ Also, validate LVM Microservice with empty retrieval results ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' @@ -387,7 +396,7 @@ curl -X POST \ Test the MegaService with a text query: ```bash -curl http://${host_ip}:8888/v1/multimodalqna \ +curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ -X POST \ -d '{"messages": "What is the revenue of Nike in 2023?"}' @@ -409,13 +418,13 @@ curl http://${host_ip}:8888/v1/multimodalqna \ Test the MegaService with a back and forth conversation between the user and assistant: ```bash -curl http://${host_ip}:8888/v1/multimodalqna \ +curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ -d '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' ``` ```bash -curl http://${host_ip}:8888/v1/multimodalqna \ +curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "hello, "}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": "chao, "}], "max_tokens": 10}' ``` diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml index 981429e264..44056462fa 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml @@ -6,20 +6,24 @@ services: image: ${REGISTRY:-opea}/whisper:${TAG:-latest} container_name: whisper-service ports: - - "7066:7066" + - "${WHISPER_PORT}:${WHISPER_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} + WHISPER_PORT: ${WHISPER_PORT} restart: unless-stopped asr: image: ${REGISTRY:-opea}/asr:${TAG:-latest} container_name: asr-service ports: - - "${ASR_SERVICE_PORT}:9099" + - "${ASR_SERVICE_PORT}:${ASR_PORT}" ipc: host environment: + WHISPER_PORT: ${WHISPER_PORT} + MAX_IMAGES: ${MAX_IMAGES} + ASR_PORT: ${ASR_PORT} ASR_ENDPOINT: ${ASR_ENDPOINT} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} @@ -27,8 +31,8 @@ services: image: redis/redis-stack:7.2.0-v9 container_name: redis-vector-db ports: - - "6379:6379" - - "8001:8001" + - "${REDIS_DB_PORT}:${REDIS_DB_PORT}" + - "${REDIS_INSIGHTS_PORT}:${REDIS_INSIGHTS_PORT}" dataprep-multimodal-redis: image: ${REGISTRY:-opea}/dataprep-multimodal-redis:${TAG:-latest} container_name: dataprep-multimodal-redis @@ -36,27 +40,29 @@ services: - redis-vector-db - lvm-llava ports: - - "6007:6007" + - "${DATAPREP_MMR_PORT}:${DATAPREP_MMR_PORT}" environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} REDIS_URL: ${REDIS_URL} REDIS_HOST: ${REDIS_HOST} + DATAPREP_MMR_PORT: ${DATAPREP_MMR_PORT} INDEX_NAME: ${INDEX_NAME} - LVM_ENDPOINT: "http://${LVM_SERVICE_HOST_IP}:9399/v1/lvm" + LVM_ENDPOINT: "http://${LVM_SERVICE_HOST_IP}:${LVM_PORT}/v1/lvm" HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} restart: unless-stopped embedding-multimodal-bridgetower: image: ${REGISTRY:-opea}/embedding-multimodal-bridgetower:${TAG:-latest} container_name: embedding-multimodal-bridgetower ports: - - ${EMBEDDER_PORT}:${EMBEDDER_PORT} + - ${EMM_BRIDGETOWER_PORT}:${EMM_BRIDGETOWER_PORT} environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} - PORT: ${EMBEDDER_PORT} + EMM_BRIDGETOWER_PORT: ${EMM_BRIDGETOWER_PORT} + PORT: ${EMM_BRIDGETOWER_PORT} entrypoint: ["python", "bridgetower_server.py", "--device", "cpu", "--model_name_or_path", $EMBEDDING_MODEL_ID] restart: unless-stopped embedding-multimodal: @@ -80,13 +86,16 @@ services: depends_on: - redis-vector-db ports: - - "7000:7000" + - "${REDIS_RETRIEVER_PORT}:${REDIS_RETRIEVER_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} REDIS_URL: ${REDIS_URL} + REDIS_DB_PORT: ${REDIS_DB_PORT} + REDIS_INSIGHTS_PORT: ${REDIS_INSIGHTS_PORT} + REDIS_RETRIEVER_PORT: ${REDIS_RETRIEVER_PORT} INDEX_NAME: ${INDEX_NAME} BRIDGE_TOWER_EMBEDDING: ${BRIDGE_TOWER_EMBEDDING} restart: unless-stopped @@ -94,11 +103,13 @@ services: image: ${REGISTRY:-opea}/lvm-llava:${TAG:-latest} container_name: lvm-llava ports: - - "8399:8399" + - "${LLAVA_SERVER_PORT}:${LLAVA_SERVER_PORT}" environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} + LLAVA_SERVER_PORT: ${LLAVA_SERVER_PORT} + LVM_PORT: ${LVM_PORT} entrypoint: ["python", "llava_server.py", "--device", "cpu", "--model_name_or_path", $LVM_MODEL_ID] restart: unless-stopped lvm-llava-svc: @@ -107,13 +118,15 @@ services: depends_on: - lvm-llava ports: - - "9399:9399" + - "${LVM_PORT}:${LVM_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} LVM_ENDPOINT: ${LVM_ENDPOINT} + LLAVA_SERVER_PORT: ${LLAVA_SERVER_PORT} + LVM_PORT: ${LVM_PORT} MAX_IMAGES: ${MAX_IMAGES:-1} restart: unless-stopped multimodalqna: @@ -127,12 +140,13 @@ services: - lvm-llava-svc - asr ports: - - "8888:8888" + - "${MEGA_SERVICE_PORT}:${MEGA_SERVICE_PORT}" environment: no_proxy: ${no_proxy} https_proxy: ${https_proxy} http_proxy: ${http_proxy} MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP} + MEGA_SERVICE_PORT: ${MEGA_SERVICE_PORT} MM_EMBEDDING_SERVICE_HOST_IP: ${MM_EMBEDDING_SERVICE_HOST_IP} MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE} MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP} @@ -148,7 +162,7 @@ services: depends_on: - multimodalqna ports: - - "5173:5173" + - "${UI_PORT}:${UI_PORT}" environment: - no_proxy=${no_proxy} - https_proxy=${https_proxy} @@ -157,6 +171,9 @@ services: - DATAPREP_INGEST_SERVICE_ENDPOINT=${DATAPREP_INGEST_SERVICE_ENDPOINT} - DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT=${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT} - DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT=${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT} + - MEGA_SERVICE_PORT:=${MEGA_SERVICE_PORT} + - UI_PORT=${UI_PORT} + - DATAPREP_MMR_PORT=${DATAPREP_MMR_PORT} ipc: host restart: always diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh index 77625f48ba..748198bc21 100755 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh @@ -6,31 +6,51 @@ pushd "../../../../../" > /dev/null source .set_env.sh popd > /dev/null +export host_ip=$(hostname -I | awk '{print $1}') + export no_proxy=${your_no_proxy} export http_proxy=${your_http_proxy} export https_proxy=${your_http_proxy} -export EMBEDDER_PORT=6006 -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" -export MM_EMBEDDING_PORT_MICROSERVICE=6000 -export ASR_ENDPOINT=http://$host_ip:7066 + +export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} +export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} +export LVM_SERVICE_HOST_IP=${host_ip} +export MEGA_SERVICE_HOST_IP=${host_ip} + +export WHISPER_PORT=7066 +export WHISPER_MODEL="base" +export MAX_IMAGES=1 +export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT +export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" -export REDIS_URL="redis://${host_ip}:6379" + +export REDIS_DB_PORT=6379 +export REDIS_INSIGHTS_PORT=8001 +export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" -export LLAVA_SERVER_PORT=8399 -export LVM_ENDPOINT="http://${host_ip}:8399" + +export DATAPREP_MMR_PORT=6007 +export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" +export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" +export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" +export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" +export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" + +export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MM_EMBEDDING_PORT_MICROSERVICE=6000 + +export REDIS_RETRIEVER_PORT=7000 + +export LVM_PORT=9399 +export LLAVA_SERVER_PORT=8399 export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" -export MAX_IMAGES=1 -export WHISPER_MODEL="base" -export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} -export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} -export LVM_SERVICE_HOST_IP=${host_ip} -export MEGA_SERVICE_HOST_IP=${host_ip} -export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" -export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" -export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" -export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" -export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" -export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" +export LVM_ENDPOINT="http://${host_ip}:${LLAVA_SERVER_PORT}" + +export MEGA_SERVICE_PORT=8888 +export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" + +export UI_PORT=5173 diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index e86046f3a4..93fb1c15f5 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -24,31 +24,41 @@ export your_no_proxy=${your_no_proxy},"External_Public_IP" export no_proxy=${your_no_proxy} export http_proxy=${your_http_proxy} export https_proxy=${your_http_proxy} -export EMBEDDER_PORT=6006 -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" -export MM_EMBEDDING_PORT_MICROSERVICE=6000 -export REDIS_URL="redis://${host_ip}:6379" +export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} +export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} +export LVM_SERVICE_HOST_IP=${host_ip} +export MEGA_SERVICE_HOST_IP=${host_ip} +export REDIS_DB_PORT=6379 +export REDIS_INSIGHTS_PORT=8001 +export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" -export LLAVA_SERVER_PORT=8399 -export LVM_ENDPOINT="http://${host_ip}:8399" -export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" -export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" +export WHISPER_PORT=7066 export MAX_IMAGES=1 export WHISPER_MODEL="base" -export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} -export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} -export ASR_ENDPOINT=http://$host_ip:7066 +export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT +export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" -export LVM_SERVICE_HOST_IP=${host_ip} -export MEGA_SERVICE_HOST_IP=${host_ip} -export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" -export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" -export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" -export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" -export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" -export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" +export DATAPREP_MMR_PORT=6007 +export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" +export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" +export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" +export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" +export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" +export EMM_BRIDGETOWER_PORT=6006 +export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MM_EMBEDDING_PORT_MICROSERVICE=6000 +export REDIS_RETRIEVER_PORT=7000 +export LVM_PORT=9399 +export LLAVA_SERVER_PORT=8399 +export TGI_GAUDI_PORT="${LLAVA_SERVER_PORT}:80" +export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" +export LVM_ENDPOINT="http://${host_ip}:${LLAVA_SERVER_PORT}" +export MEGA_SERVICE_PORT=8888 +export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" +export UI_PORT=5173 ``` Note: Please replace with `host_ip` with you external IP address, do not use localhost. @@ -69,7 +79,7 @@ Build embedding-multimodal-bridgetower docker image ```bash git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMBEDDER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . +docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . ``` Build embedding-multimodal microservice image @@ -176,14 +186,14 @@ docker compose -f compose.yaml up -d 1. embedding-multimodal-bridgetower ```bash -curl http://${host_ip}:${EMBEDDER_PORT}/v1/encode \ +curl http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode \ -X POST \ -H "Content-Type:application/json" \ -d '{"text":"This is example"}' ``` ```bash -curl http://${host_ip}:${EMBEDDER_PORT}/v1/encode \ +curl http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode \ -X POST \ -H "Content-Type:application/json" \ -d '{"text":"This is example", "img_b64_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC"}' @@ -236,14 +246,14 @@ curl http://${host_ip}:${LLAVA_SERVER_PORT}/generate \ 6. lvm-tgi ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [{"b64_img_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "transcript_for_inference": "yellow image", "video_id": "8c7461df-b373-4a00-8696-9a2234359fe0", "time_of_frame_ms":"37000000", "source_video":"WeAreGoingOnBullrun_8c7461df-b373-4a00-8696-9a2234359fe0.mp4"}], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' ``` ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"image": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "prompt":"What is this?"}' @@ -252,7 +262,7 @@ curl http://${host_ip}:9399/v1/lvm \ Also, validate LVM TGI Gaudi Server with empty retrieval results ```bash -curl http://${host_ip}:9399/v1/lvm \ +curl http://${host_ip}:${LVM_PORT}/v1/lvm \ -X POST \ -H 'Content-Type: application/json' \ -d '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' @@ -336,7 +346,7 @@ curl -X POST \ Test the MegaService with a text query: ```bash -curl http://${host_ip}:8888/v1/multimodalqna \ +curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ -X POST \ -d '{"messages": "What is the revenue of Nike in 2023?"}' @@ -358,7 +368,7 @@ curl http://${host_ip}:8888/v1/multimodalqna \ Test the MegaService with a back and forth conversation between the user and assistant: ```bash -curl http://${host_ip}:8888/v1/multimodalqna \ - -H "Content-Type: application/json" \ - -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "hello, "}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": "chao, "}], "max_tokens": 10}' +curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ + -H "Content-Type: application/json" \ + -d '{"messages": [{"role": "user", "content": [{"type": "text", "text": "hello, "}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": "chao, "}], "max_tokens": 10}' ``` diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml index 607c9e1e0f..b52adde580 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml @@ -6,26 +6,30 @@ services: image: redis/redis-stack:7.2.0-v9 container_name: redis-vector-db ports: - - "6379:6379" - - "8001:8001" + - "${REDIS_DB_PORT}:${REDIS_DB_PORT}" + - "${REDIS_INSIGHTS_PORT}:${REDIS_INSIGHTS_PORT}" whisper-service: image: ${REGISTRY:-opea}/whisper:${TAG:-latest} container_name: whisper-service ports: - - "7066:7066" + - "${WHISPER_PORT}:${WHISPER_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} + WHISPER_PORT: ${WHISPER_PORT} restart: unless-stopped asr: image: ${REGISTRY:-opea}/asr:${TAG:-latest} container_name: asr-service ports: - - "${ASR_SERVICE_PORT}:9099" + - "${ASR_SERVICE_PORT}:${ASR_PORT}" ipc: host environment: + WHISPER_PORT: ${WHISPER_PORT} + MAX_IMAGES: ${MAX_IMAGES} + ASR_PORT: ${ASR_PORT} ASR_ENDPOINT: ${ASR_ENDPOINT} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} @@ -36,27 +40,28 @@ services: - redis-vector-db - lvm-tgi ports: - - "6007:6007" + - "${DATAPREP_MMR_PORT}:${DATAPREP_MMR_PORT}" environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} REDIS_URL: ${REDIS_URL} REDIS_HOST: ${REDIS_HOST} + DATAPREP_MMR_PORT: ${DATAPREP_MMR_PORT} INDEX_NAME: ${INDEX_NAME} - LVM_ENDPOINT: "http://${LVM_SERVICE_HOST_IP}:9399/v1/lvm" + LVM_ENDPOINT: "http://${LVM_SERVICE_HOST_IP}:${LVM_PORT}/v1/lvm" HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} restart: unless-stopped embedding-multimodal-bridgetower: image: ${REGISTRY:-opea}/embedding-multimodal-bridgetower:${TAG:-latest} container_name: embedding-multimodal-bridgetower ports: - - ${EMBEDDER_PORT}:${EMBEDDER_PORT} + - ${EMM_BRIDGETOWER_PORT}:${EMM_BRIDGETOWER_PORT} environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} - PORT: ${EMBEDDER_PORT} + PORT: ${EMM_BRIDGETOWER_PORT} entrypoint: ["python", "bridgetower_server.py", "--device", "hpu", "--model_name_or_path", $EMBEDDING_MODEL_ID] restart: unless-stopped embedding-multimodal: @@ -73,6 +78,7 @@ services: https_proxy: ${https_proxy} MMEI_EMBEDDING_ENDPOINT: ${MMEI_EMBEDDING_ENDPOINT} MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE} + EMM_BRIDGETOWER_PORT: ${EMM_BRIDGETOWER_PORT} restart: unless-stopped retriever-redis: image: ${REGISTRY:-opea}/retriever-redis:${TAG:-latest} @@ -80,13 +86,16 @@ services: depends_on: - redis-vector-db ports: - - "7000:7000" + - "${REDIS_RETRIEVER_PORT}:${REDIS_RETRIEVER_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} REDIS_URL: ${REDIS_URL} + REDIS_DB_PORT: ${REDIS_DB_PORT} + REDIS_INSIGHTS_PORT: ${REDIS_INSIGHTS_PORT} + REDIS_RETRIEVER_PORT: ${REDIS_RETRIEVER_PORT} INDEX_NAME: ${INDEX_NAME} BRIDGE_TOWER_EMBEDDING: ${BRIDGE_TOWER_EMBEDDING} restart: unless-stopped @@ -94,11 +103,14 @@ services: image: ghcr.io/huggingface/tgi-gaudi:2.0.6 container_name: tgi-llava-gaudi-server ports: - - "8399:80" + - ${TGI_GAUDI_PORT} environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} + TGI_GAUDI_PORT: ${TGI_GAUDI_PORT} + LLAVA_SERVER_PORT: ${LLAVA_SERVER_PORT} + LVM_PORT: ${LVM_PORT} HF_HUB_DISABLE_PROGRESS_BARS: 1 HF_HUB_ENABLE_HF_TRANSFER: 0 HABANA_VISIBLE_DEVICES: all @@ -122,13 +134,15 @@ services: depends_on: - tgi-gaudi ports: - - "9399:9399" + - "${LVM_PORT}:${LVM_PORT}" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} LVM_ENDPOINT: ${LVM_ENDPOINT} + LLAVA_SERVER_PORT: ${LLAVA_SERVER_PORT} + LVM_PORT: ${LVM_PORT} HF_HUB_DISABLE_PROGRESS_BARS: 1 HF_HUB_ENABLE_HF_TRANSFER: 0 MAX_IMAGES: ${MAX_IMAGES:-1} @@ -144,12 +158,13 @@ services: - lvm-tgi - asr ports: - - "8888:8888" + - "${MEGA_SERVICE_PORT}:${MEGA_SERVICE_PORT}" environment: no_proxy: ${no_proxy} https_proxy: ${https_proxy} http_proxy: ${http_proxy} MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP} + MEGA_SERVICE_PORT: ${MEGA_SERVICE_PORT} MM_EMBEDDING_SERVICE_HOST_IP: ${MM_EMBEDDING_SERVICE_HOST_IP} MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE} MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP} @@ -165,7 +180,7 @@ services: depends_on: - multimodalqna ports: - - "5173:5173" + - "${UI_PORT}:${UI_PORT}" environment: - no_proxy=${no_proxy} - https_proxy=${https_proxy} @@ -174,6 +189,9 @@ services: - DATAPREP_INGEST_SERVICE_ENDPOINT=${DATAPREP_INGEST_SERVICE_ENDPOINT} - DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT=${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT} - DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT=${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT} + - MEGA_SERVICE_PORT:=${MEGA_SERVICE_PORT} + - UI_PORT=${UI_PORT} + - DATAPREP_MMR_PORT=${DATAPREP_MMR_PORT} ipc: host restart: always diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh index 2a2bfc45e3..a9b7fe8851 100755 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh @@ -6,31 +6,51 @@ pushd "../../../../../" > /dev/null source .set_env.sh popd > /dev/null +export host_ip=$(hostname -I | awk '{print $1}') +export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} +export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} +export LVM_SERVICE_HOST_IP=${host_ip} +export MEGA_SERVICE_HOST_IP=${host_ip} + export no_proxy=${your_no_proxy} export http_proxy=${your_http_proxy} export https_proxy=${your_http_proxy} -export EMBEDDER_PORT=6006 -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" -export MM_EMBEDDING_PORT_MICROSERVICE=6000 -export ASR_ENDPOINT=http://$host_ip:7066 -export ASR_SERVICE_PORT=3001 -export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" -export REDIS_URL="redis://${host_ip}:6379" + +export REDIS_DB_PORT=6379 +export REDIS_INSIGHTS_PORT=8001 +export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" -export LLAVA_SERVER_PORT=8399 -export LVM_ENDPOINT="http://${host_ip}:8399" -export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" -export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" + +export WHISPER_PORT=7066 export MAX_IMAGES=1 export WHISPER_MODEL="base" -export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} -export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} -export LVM_SERVICE_HOST_IP=${host_ip} -export MEGA_SERVICE_HOST_IP=${host_ip} -export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" -export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" -export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" -export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" -export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" -export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" +export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT +export ASR_PORT=9099 +export ASR_SERVICE_PORT=3001 +export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" + +export DATAPREP_MMR_PORT=6007 +export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" +export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" +export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" +export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" +export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" + +export EMM_BRIDGETOWER_PORT=6006 +export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MM_EMBEDDING_PORT_MICROSERVICE=6000 + +export REDIS_RETRIEVER_PORT=7000 + +export LVM_PORT=9399 +export LLAVA_SERVER_PORT=8399 +export TGI_GAUDI_PORT="${LLAVA_SERVER_PORT}:80" +export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" +export LVM_ENDPOINT="http://${host_ip}:${LLAVA_SERVER_PORT}" + +export MEGA_SERVICE_PORT=8888 +export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" + +export UI_PORT=5173 diff --git a/MultimodalQnA/multimodalqna.py b/MultimodalQnA/multimodalqna.py index 63d117c195..0db2b08db0 100644 --- a/MultimodalQnA/multimodalqna.py +++ b/MultimodalQnA/multimodalqna.py @@ -26,7 +26,7 @@ MM_RETRIEVER_SERVICE_HOST_IP = os.getenv("MM_RETRIEVER_SERVICE_HOST_IP", "0.0.0.0") MM_RETRIEVER_SERVICE_PORT = int(os.getenv("MM_RETRIEVER_SERVICE_PORT", 7000)) LVM_SERVICE_HOST_IP = os.getenv("LVM_SERVICE_HOST_IP", "0.0.0.0") -LVM_SERVICE_PORT = int(os.getenv("LVM_SERVICE_PORT", 9399)) +LVM_SERVICE_PORT = int(os.getenv("LVM_PORT", 9399)) class MultimodalQnAService: diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 0a8513d4d0..cdf73b973d 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -55,32 +55,42 @@ function build_docker_images() { function setup_env() { export host_ip=${ip_address} - export EMBEDDER_PORT=6006 - export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" - export MM_EMBEDDING_PORT_MICROSERVICE=6000 - export ASR_ENDPOINT=http://$host_ip:7066 - export ASR_SERVICE_PORT=3001 - export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" - export REDIS_URL="redis://${host_ip}:6379" - export REDIS_HOST=${host_ip} - export INDEX_NAME="mm-rag-redis" - export BRIDGE_TOWER_EMBEDDING=true - export LLAVA_SERVER_PORT=8399 - export LVM_ENDPOINT="http://${host_ip}:8399" - export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" - export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-7b-hf" - export MAX_IMAGES=1 - export WHISPER_MODEL="base" export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} export LVM_SERVICE_HOST_IP=${host_ip} export MEGA_SERVICE_HOST_IP=${host_ip} - export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" - export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" - export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" - export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" - export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" - export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" + export REDIS_DB_PORT=6379 + export REDIS_INSIGHTS_PORT=8001 + export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" + export REDIS_HOST=${host_ip} + export INDEX_NAME="mm-rag-redis" + export WHISPER_PORT=7066 + export MAX_IMAGES=1 + export WHISPER_MODEL="base" + export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT + export ASR_PORT=9099 + export ASR_SERVICE_PORT=3001 + export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" + export DATAPREP_MMR_PORT=6007 + export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" + export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" + export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" + export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" + export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" + export EMM_BRIDGETOWER_PORT=6006 + export BRIDGE_TOWER_EMBEDDING=true + export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" + export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" + export MM_EMBEDDING_PORT_MICROSERVICE=6000 + export REDIS_RETRIEVER_PORT=7000 + export LVM_PORT=9399 + export LLAVA_SERVER_PORT=8399 + export TGI_GAUDI_PORT="${LLAVA_SERVER_PORT}:80" + export LVM_MODEL_ID="llava-hf/llava-v1.6-vicuna-13b-hf" + export LVM_ENDPOINT="http://${host_ip}:${LLAVA_SERVER_PORT}" + export MEGA_SERVICE_PORT=8888 + export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" + export UI_PORT=5173 } function start_services() { @@ -154,14 +164,14 @@ function validate_microservices() { # Bridgetower Embedding Server echo "Validating embedding-multimodal-bridgetower" validate_service \ - "http://${host_ip}:${EMBEDDER_PORT}/v1/encode" \ + "http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode" \ '"embedding":[' \ "embedding-multimodal-bridgetower" \ "embedding-multimodal-bridgetower" \ '{"text":"This is example"}' validate_service \ - "http://${host_ip}:${EMBEDDER_PORT}/v1/encode" \ + "http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode" \ '"embedding":[' \ "embedding-multimodal-bridgetower" \ "embedding-multimodal-bridgetower" \ @@ -220,7 +230,7 @@ function validate_microservices() { echo "Validating retriever-redis" your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)") validate_service \ - "http://${host_ip}:7000/v1/retrieval" \ + "http://${host_ip}:${REDIS_RETRIEVER_PORT}/v1/retrieval" \ "retrieved_docs" \ "retriever-redis" \ "retriever-redis" \ @@ -249,7 +259,7 @@ function validate_microservices() { # lvm echo "Evaluating lvm-tgi" validate_service \ - "http://${host_ip}:9399/v1/lvm" \ + "http://${host_ip}:${LVM_PORT}/v1/lvm" \ '"text":"' \ "lvm-tgi" \ "lvm-tgi" \ @@ -270,7 +280,7 @@ function validate_megaservice() { # Curl the Mega Service with retrieval echo "Validate megaservice with first query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -278,7 +288,7 @@ function validate_megaservice() { echo "Validate megaservice with first audio query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -286,7 +296,7 @@ function validate_megaservice() { echo "Validate megaservice with first query with an image" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -294,7 +304,7 @@ function validate_megaservice() { echo "Validate megaservice with follow-up query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -302,7 +312,7 @@ function validate_megaservice() { echo "Validate megaservice with multiple text queries" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ "multimodalqna" \ "multimodalqna-backend-server" \ diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 3ba51819c0..757eb7b2ef 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -53,41 +53,53 @@ function build_docker_images() { function setup_env() { export host_ip=${ip_address} - export EMBEDDER_PORT=6006 - export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMBEDDER_PORT/v1/encode" - export MM_EMBEDDING_PORT_MICROSERVICE=6000 - export ASR_ENDPOINT=http://$host_ip:7066 + export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} + export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} + export LVM_SERVICE_HOST_IP=${host_ip} + export MEGA_SERVICE_HOST_IP=${host_ip} + export WHISPER_PORT=7066 + export MAX_IMAGES=1 + export WHISPER_MODEL="base" + export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT + export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 export ASR_SERVICE_ENDPOINT="http://${host_ip}:${ASR_SERVICE_PORT}/v1/audio/transcriptions" - export REDIS_URL="redis://${host_ip}:6379" + export REDIS_DB_PORT=6379 + export REDIS_INSIGHTS_PORT=8001 + export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" + export DATAPREP_MMR_PORT=6007 + export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ingest_with_text" + export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_transcripts" + export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/generate_captions" + export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get_files" + export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete_files" + export EMM_BRIDGETOWER_PORT=6006 export BRIDGE_TOWER_EMBEDDING=true + export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" + export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" + export MM_EMBEDDING_PORT_MICROSERVICE=6000 + export REDIS_RETRIEVER_PORT=7000 + export LVM_PORT=9399 export LLAVA_SERVER_PORT=8399 - export LVM_ENDPOINT="http://${host_ip}:8399" export LVM_MODEL_ID="llava-hf/llava-1.5-7b-hf" - export MAX_IMAGES=1 - export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" - export WHISPER_MODEL="base" - export MM_EMBEDDING_SERVICE_HOST_IP=${host_ip} - export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} - export LVM_SERVICE_HOST_IP=${host_ip} - export MEGA_SERVICE_HOST_IP=${host_ip} - export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/multimodalqna" - export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/ingest_with_text" - export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_transcripts" - export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/generate_captions" - export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_files" - export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_files" + export LVM_ENDPOINT="http://${host_ip}:$LLAVA_SERVER_PORT" + export MEGA_SERVICE_PORT=8888 + export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:$MEGA_SERVICE_PORT/v1/multimodalqna" + export UI_PORT=5173 } + function start_services() { + echo "Starting services..." cd $WORKPATH/docker_compose/intel/cpu/xeon # Start Docker Containers docker compose -f compose.yaml up -d > ${LOG_PATH}/start_services_with_compose.log sleep 2m + echo "Services started." } function prepare_data() { @@ -100,6 +112,7 @@ function prepare_data() { sleep 1m } + function validate_service() { local URL="$1" local EXPECTED_RESULT="$2" @@ -152,14 +165,14 @@ function validate_microservices() { # Bridgetower Embedding Server echo "Validating embedding-multimodal-bridgetower" validate_service \ - "http://${host_ip}:${EMBEDDER_PORT}/v1/encode" \ + "http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode" \ '"embedding":[' \ "embedding-multimodal-bridgetower" \ "embedding-multimodal-bridgetower" \ '{"text":"This is example"}' validate_service \ - "http://${host_ip}:${EMBEDDER_PORT}/v1/encode" \ + "http://${host_ip}:${EMM_BRIDGETOWER_PORT}/v1/encode" \ '"embedding":[' \ "embedding-multimodal-bridgetower" \ "embedding-multimodal-bridgetower" \ @@ -218,7 +231,7 @@ function validate_microservices() { echo "Validating retriever-redis" your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)") validate_service \ - "http://${host_ip}:7000/v1/retrieval" \ + "http://${host_ip}:${REDIS_RETRIEVER_PORT}/v1/retrieval" \ "retrieved_docs" \ "retriever-redis" \ "retriever-redis" \ @@ -247,7 +260,7 @@ function validate_microservices() { # lvm echo "Evaluating lvm-llava-svc" validate_service \ - "http://${host_ip}:9399/v1/lvm" \ + "http://${host_ip}:${LVM_PORT}/v1/lvm" \ '"text":"' \ "lvm-llava-svc" \ "lvm-llava-svc" \ @@ -268,7 +281,7 @@ function validate_megaservice() { # Curl the Mega Service with retrieval echo "Validate megaservice with first query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -276,7 +289,7 @@ function validate_megaservice() { echo "Validate megaservice with first audio query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -284,7 +297,7 @@ function validate_megaservice() { echo "Validate megaservice with first query with an image" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -292,7 +305,7 @@ function validate_megaservice() { echo "Validate megaservice with follow-up query" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -300,7 +313,7 @@ function validate_megaservice() { echo "Validate megaservice with multiple text queries" validate_service \ - "http://${host_ip}:8888/v1/multimodalqna" \ + "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ "multimodalqna" \ "multimodalqna-backend-server" \ @@ -325,8 +338,10 @@ function delete_data() { } function stop_docker() { + echo "Stopping docker..." cd $WORKPATH/docker_compose/intel/cpu/xeon docker compose -f compose.yaml stop && docker compose -f compose.yaml rm -f + echo "Docker stopped." } function main() { diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 9d78be6e53..be629a32e6 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -533,19 +533,22 @@ def select_upload_type(choice, request: gr.Request): if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--host", type=str, default="0.0.0.0") - parser.add_argument("--port", type=int, default=5173) + parser.add_argument("--port", type=int, default=os.getenv("UI_PORT", 5173)) parser.add_argument("--concurrency-count", type=int, default=20) parser.add_argument("--share", action="store_true") - backend_service_endpoint = os.getenv("BACKEND_SERVICE_ENDPOINT", "http://localhost:8888/v1/multimodalqna") + MEGA_SERVICE_PORT = os.getenv("MEGA_SERVICE_PORT", 8888) + DATAPREP_MMR_PORT = os.getenv("DATAPREP_MMR_PORT", 6007) + + backend_service_endpoint = os.getenv("BACKEND_SERVICE_ENDPOINT", f"http://localhost:{MEGA_SERVICE_PORT}/v1/multimodalqna") dataprep_ingest_endpoint = os.getenv( - "DATAPREP_INGEST_SERVICE_ENDPOINT", "http://localhost:6007/v1/ingest_with_text" + "DATAPREP_INGEST_SERVICE_ENDPOINT", f"http://localhost:{DATAPREP_MMR_PORT}/v1/ingest_with_text" ) dataprep_gen_transcript_endpoint = os.getenv( - "DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT", "http://localhost:6007/v1/generate_transcripts" + "DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT", f"http://localhost:{DATAPREP_MMR_PORT}/v1/generate_transcripts" ) dataprep_gen_caption_endpoint = os.getenv( - "DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT", "http://localhost:6007/v1/generate_captions" + "DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT", f"http://localhost:{DATAPREP_MMR_PORT}/v1/generate_captions" ) args = parser.parse_args() logger.info(f"args: {args}") From c4d569c9e03deb1aa8741ec8fe77ab0848e39c67 Mon Sep 17 00:00:00 2001 From: Harsha Ramayanam Date: Tue, 7 Jan 2025 08:31:31 -0800 Subject: [PATCH 07/26] Added fix for video upload format Signed-off-by: Harsha Ramayanam --- MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 28d3534be5..1f29bbb77a 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -361,14 +361,14 @@ def clear_text(request: gr.Request): def select_upload_type(choice, request: gr.Request): if choice == "transcript": - return gr.Video(sources="upload", visible=True), gr.Video(sources="upload", visible=False) + return gr.Video(sources="upload", visible=True, format="mp4"), gr.Video(sources="upload", visible=False, format="mp4") else: - return gr.Video(sources="upload", visible=False), gr.Video(sources="upload", visible=True) + return gr.Video(sources="upload", visible=False, format="mp4"), gr.Video(sources="upload", visible=True, format="mp4") with gr.Row(): with gr.Column(scale=6): - video_upload_trans = gr.Video(sources="upload", elem_id="video_upload_trans", visible=True) - video_upload_cap = gr.Video(sources="upload", elem_id="video_upload_cap", visible=False) + video_upload_trans = gr.Video(sources="upload", elem_id="video_upload_trans", visible=True, format="mp4") + video_upload_cap = gr.Video(sources="upload", elem_id="video_upload_cap", visible=False, format="mp4") with gr.Column(scale=3): text_options_radio = gr.Radio( [ From 8b54159dd9ac6f8f73da745d5eb8dd6d866e3e97 Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Wed, 8 Jan 2025 13:25:08 -0800 Subject: [PATCH 08/26] Adds transcript to MMQnA conversation (#37) * Add caption to chat history Signed-off-by: Melanie Buehler * Fixed some issues with conversation history Signed-off-by: Melanie Buehler --------- Signed-off-by: Melanie Buehler --- MultimodalQnA/ui/gradio/conversation.py | 10 ++++++++-- MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py | 4 +++- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index d0471f74ed..2411d1cac9 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -60,12 +60,12 @@ def get_prompt(self): for i, (role, message) in enumerate(messages): if message: dic = {"role": role} + # The main message will be either audio or text if self.audio_query_file: content = [{"type": "audio", "audio": self.get_b64_audio_query()}] - elif self.image: - content = [{"type": "image_url", "image_url": {"url": self.image_query_file}}] else: content = [{"type": "text", "text": message}] + # There might be a returned image/video from the first query if i == 0 and self.time_of_frame_ms and self.video_file: base64_frame = ( self.base64_frame @@ -74,7 +74,13 @@ def get_prompt(self): ) if base64_frame is None: base64_frame = "" + # Include the original caption for the returned image/video + if self.caption and content[0]["type"] == "text": + content[0]["text"] = content[0]["text"] + " " + self._template_caption() content.append({"type": "image_url", "image_url": {"url": base64_frame}}) + # There might be a query image + if self.image_query_file: + content.append({"type": "image_url", "image_url": {"url": self.image_query_file}}) dic["content"] = content conv_dict.append(dic) else: diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 1453457819..1291a4ee2a 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -115,7 +115,8 @@ def http_bot(state, request: gr.Request): "messages": prompt, } - logger.info(f"==== request ====\n{pload}") + if logflag: + logger.info(f"==== request ====\n{pload}") logger.info(f"==== url request ====\n{gateway_addr}") state.messages[-1][-1] = "▌" @@ -148,6 +149,7 @@ def http_bot(state, request: gr.Request): video_file = metadata["source_video"] state.video_file = os.path.join(static_dir, metadata["source_video"]) state.time_of_frame_ms = metadata["time_of_frame_ms"] + state.caption = metadata["transcript_for_inference"] file_ext = os.path.splitext(state.video_file)[-1] if file_ext == ".mp4": try: From 5378cb493a02c18aac35427cefa6b0907d7289be Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Wed, 8 Jan 2025 13:43:24 -0800 Subject: [PATCH 09/26] MultimodalQnA PDF Upload & Display (#32) * Initial implementation for PDF upload Signed-off-by: Melanie Buehler * Make temp pdf from response Signed-off-by: Melanie Buehler * Adds PDF display functionality to MMQnA UI with gradio_pdf Signed-off-by: Melanie Buehler * Update tests and docs for PDF support Signed-off-by: Melanie Buehler * Updated per review suggestions Signed-off-by: Melanie Buehler * Fixed two more pdf references Signed-off-by: Melanie Buehler --------- Signed-off-by: Melanie Buehler --- MultimodalQnA/README.md | 16 +-- .../docker_compose/intel/cpu/xeon/README.md | 15 ++- .../docker_compose/intel/hpu/gaudi/README.md | 15 ++- MultimodalQnA/tests/test_compose_on_gaudi.sh | 33 ++++-- MultimodalQnA/tests/test_compose_on_xeon.sh | 33 ++++-- MultimodalQnA/ui/gradio/conversation.py | 3 + .../ui/gradio/multimodalqna_ui_gradio.py | 107 ++++++++++++++---- MultimodalQnA/ui/gradio/requirements.txt | 1 + MultimodalQnA/ui/gradio/utils.py | 2 +- 9 files changed, 167 insertions(+), 58 deletions(-) diff --git a/MultimodalQnA/README.md b/MultimodalQnA/README.md index 08de5686ab..de8c24aa0f 100644 --- a/MultimodalQnA/README.md +++ b/MultimodalQnA/README.md @@ -1,8 +1,8 @@ # MultimodalQnA Application -Suppose you possess a set of videos and wish to perform question-answering to extract insights from these videos. To respond to your questions, it typically necessitates comprehension of visual cues within the videos, knowledge derived from the audio content, or often a mix of both these visual elements and auditory facts. The MultimodalQnA framework offers an optimal solution for this purpose. +Suppose you possess a set of videos, images, audio files, PDFs, or some combination thereof and wish to perform question-answering to extract insights from these documents. To respond to your questions, the system needs to comprehend a mix of textual, visual, and audio facts drawn from the document contents. The MultimodalQnA framework offers an optimal solution for this purpose. -`MultimodalQnA` addresses your questions by dynamically fetching the most pertinent multimodal information (frames, transcripts, and/or captions) from your collection of videos, images, and audio files. For this purpose, MultimodalQnA utilizes [BridgeTower model](https://huggingface.co/BridgeTower/bridgetower-large-itm-mlm-gaudi), a multimodal encoding transformer model which merges visual and textual data into a unified semantic space. During the ingestion phase, the BridgeTower model embeds both visual cues and auditory facts as texts, and those embeddings are then stored in a vector database. When it comes to answering a question, the MultimodalQnA will fetch its most relevant multimodal content from the vector store and feed it into a downstream Large Vision-Language Model (LVM) as input context to generate a response for the user. +`MultimodalQnA` addresses your questions by dynamically fetching the most pertinent multimodal information (e.g. images, transcripts, and captions) from your collection of video, image, audio, and PDF files. For this purpose, MultimodalQnA utilizes [BridgeTower model](https://huggingface.co/BridgeTower/bridgetower-large-itm-mlm-gaudi), a multimodal encoding transformer model which merges visual and textual data into a unified semantic space. During the ingestion phase, the BridgeTower model embeds both visual cues and auditory facts as texts, and those embeddings are then stored in a vector database. When it comes to answering a question, the MultimodalQnA will fetch its most relevant multimodal content from the vector store and feed it into a downstream Large Vision-Language Model (LVM) as input context to generate a response for the user. The MultimodalQnA architecture shows below: @@ -87,12 +87,12 @@ In the below, we provide a table that describes for each microservice component
Gaudi default compose.yaml -| MicroService | Open Source Project | HW | Port | Endpoint | -| ------------ | --------------------- | ----- | ---- | ----------------------------------------------- | -| Embedding | Langchain | Xeon | 6000 | /v1/embeddings | -| Retriever | Langchain, Redis | Xeon | 7000 | /v1/multimodal_retrieval | -| LVM | Langchain, TGI | Gaudi | 9399 | /v1/lvm | -| Dataprep | Redis, Langchain, TGI | Gaudi | 6007 | /v1/generate_transcripts, /v1/generate_captions | +| MicroService | Open Source Project | HW | Port | Endpoint | +| ------------ | --------------------- | ----- | ---- | --------------------------------------------------------------------- | +| Embedding | Langchain | Xeon | 6000 | /v1/embeddings | +| Retriever | Langchain, Redis | Xeon | 7000 | /v1/multimodal_retrieval | +| LVM | Langchain, TGI | Gaudi | 9399 | /v1/lvm | +| Dataprep | Redis, Langchain, TGI | Gaudi | 6007 | /v1/generate_transcripts, /v1/generate_captions, /v1/ingest_with_text |
diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index 07276501bb..cd1286b38e 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -320,7 +320,7 @@ curl http://${host_ip}:${LVM_PORT}/v1/lvm \ 7. dataprep-multimodal-redis -Download a sample video, image, and audio file and create a caption +Download a sample video, image, pdf, and audio file and create a caption ```bash export video_fn="WeAreGoingOnBullrun.mp4" @@ -329,6 +329,9 @@ wget http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoing export image_fn="apple.png" wget https://github.com/docarray/docarray/blob/main/tests/toydata/image-data/apple.png?raw=true -O ${image_fn} +export pdf_fn="nke-10k-2023.pdf" +wget https://raw.githubusercontent.com/opea-project/GenAIComps/v1.1/comps/retrievers/redis/data/nke-10k-2023.pdf -O ${pdf_fn} + export caption_fn="apple.txt" echo "This is an apple." > ${caption_fn} @@ -347,7 +350,7 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \ -F "files=@./${audio_fn}" ``` -Also, test dataprep microservice with generating an image caption using lvm microservice +Also, test dataprep microservice with generating an image caption using lvm microservice. ```bash curl --silent --write-out "HTTPSTATUS:%{http_code}" \ @@ -356,13 +359,14 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \ -X POST -F "files=@./${image_fn}" ``` -Now, test the microservice with posting a custom caption along with an image +Now, test the microservice with posting a custom caption along with an image and a PDF containing images and text. ```bash curl --silent --write-out "HTTPSTATUS:%{http_code}" \ ${DATAPREP_INGEST_SERVICE_ENDPOINT} \ -H 'Content-Type: multipart/form-data' \ - -X POST -F "files=@./${image_fn}" -F "files=@./${caption_fn}" + -X POST -F "files=@./${image_fn}" -F "files=@./${caption_fn}" \ + -F "files=@./${pdf_fn}" ``` Also, you are able to get the list of all files that you uploaded: @@ -380,7 +384,8 @@ Then you will get the response python-style LIST like this. Notice the name of e "WeAreGoingOnBullrun_7ac553a1-116c-40a2-9fc5-deccbb89b507.mp4", "WeAreGoingOnBullrun_6d13cf26-8ba2-4026-a3a9-ab2e5eb73a29.mp4", "apple_fcade6e6-11a5-44a2-833a-3e534cbe4419.png", - "AudioSample_976a85a6-dc3e-43ab-966c-9d81beef780c.wav + "nke-10k-2023_28000757-5533-4b1b-89fe-7c0a1b7e2cd0.pdf", + "AudioSample_976a85a6-dc3e-43ab-966c-9d81beef780c.wav" ] ``` diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index 93fb1c15f5..e6f3e2abb4 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -270,7 +270,7 @@ curl http://${host_ip}:${LVM_PORT}/v1/lvm \ 7. Multimodal Dataprep Microservice -Download a sample video, image, and audio file and create a caption +Download a sample video, image, PDF, and audio file and create a caption ```bash export video_fn="WeAreGoingOnBullrun.mp4" @@ -279,6 +279,9 @@ wget http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoing export image_fn="apple.png" wget https://github.com/docarray/docarray/blob/main/tests/toydata/image-data/apple.png?raw=true -O ${image_fn} +export pdf_fn="nke-10k-2023.pdf" +wget https://raw.githubusercontent.com/opea-project/GenAIComps/v1.1/comps/retrievers/redis/data/nke-10k-2023.pdf -O ${pdf_fn} + export caption_fn="apple.txt" echo "This is an apple." > ${caption_fn} @@ -297,7 +300,7 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \ -F "files=@./${audio_fn}" ``` -Also, test dataprep microservice with generating an image caption using lvm-tgi +Also, test dataprep microservice with generating an image caption using lvm-tgi. ```bash curl --silent --write-out "HTTPSTATUS:%{http_code}" \ @@ -306,13 +309,14 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \ -X POST -F "files=@./${image_fn}" ``` -Now, test the microservice with posting a custom caption along with an image +Now, test the microservice with posting a custom caption along with an image and a PDF containing images and text. ```bash curl --silent --write-out "HTTPSTATUS:%{http_code}" \ ${DATAPREP_INGEST_SERVICE_ENDPOINT} \ -H 'Content-Type: multipart/form-data' \ - -X POST -F "files=@./${image_fn}" -F "files=@./${caption_fn}" + -X POST -F "files=@./${image_fn}" -F "files=@./${caption_fn}" \ + -F "files=@./${pdf_fn}" ``` Also, you are able to get the list of all files that you uploaded: @@ -330,7 +334,8 @@ Then you will get the response python-style LIST like this. Notice the name of e "WeAreGoingOnBullrun_7ac553a1-116c-40a2-9fc5-deccbb89b507.mp4", "WeAreGoingOnBullrun_6d13cf26-8ba2-4026-a3a9-ab2e5eb73a29.mp4", "apple_fcade6e6-11a5-44a2-833a-3e534cbe4419.png", - "AudioSample_976a85a6-dc3e-43ab-966c-9d81beef780c.wav + "nke-10k-2023_28000757-5533-4b1b-89fe-7c0a1b7e2cd0.pdf", + "AudioSample_976a85a6-dc3e-43ab-966c-9d81beef780c.wav" ] ``` diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index cdf73b973d..dc7d5800bc 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -17,6 +17,7 @@ ip_address=$(hostname -I | awk '{print $1}') export image_fn="apple.png" export video_fn="WeAreGoingOnBullrun.mp4" export caption_fn="apple.txt" +export pdf_fn="nke-10k-2023.pdf" function check_service_ready() { local container_name="$1" @@ -106,6 +107,7 @@ function prepare_data() { echo "Downloading image and video" wget https://github.com/docarray/docarray/blob/main/tests/toydata/image-data/apple.png?raw=true -O ${image_fn} wget http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoingOnBullrun.mp4 -O ${video_fn} + wget https://raw.githubusercontent.com/opea-project/GenAIComps/v1.1/comps/retrievers/redis/data/nke-10k-2023.pdf -O ${pdf_fn} echo "Writing caption file" echo "This is an apple." > ${caption_fn} @@ -128,6 +130,9 @@ function validate_service() { elif [[ $SERVICE_NAME == *"dataprep-multimodal-redis-ingest"* ]]; then cd $LOG_PATH HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -F "files=@./${image_fn}" -F "files=@./apple.txt" -H 'Content-Type: multipart/form-data' "$URL") + elif [[ $SERVICE_NAME == *"dataprep-multimodal-redis-pdf"* ]]; then + cd $LOG_PATH + HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -F "files=@./${pdf_fn}" -H 'Content-Type: multipart/form-data' "$URL") elif [[ $SERVICE_NAME == *"dataprep_get"* ]]; then HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -H 'Content-Type: application/json' "$URL") elif [[ $SERVICE_NAME == *"dataprep_del"* ]]; then @@ -196,20 +201,27 @@ function validate_microservices() { sleep 1m # retrieval can't curl as expected, try to wait for more time # test data prep - echo "Data Prep with Generating Transcript for Video" + echo "Validating Data Prep with Generating Transcript for Video" validate_service \ "${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ "dataprep-multimodal-redis-transcript" \ "dataprep-multimodal-redis" - echo "Data Prep with Image & Caption Ingestion" + echo "Validating Data Prep with Image & Caption Ingestion" validate_service \ "${DATAPREP_INGEST_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ "dataprep-multimodal-redis-ingest" \ "dataprep-multimodal-redis" + echo "Validating Data Prep with PDF" + validate_service \ + "${DATAPREP_INGEST_SERVICE_ENDPOINT}" \ + "Data preparation succeeded" \ + "dataprep-multimodal-redis-pdf" \ + "dataprep-multimodal-redis" + echo "Validating get file returns mp4" validate_service \ "${DATAPREP_GET_FILE_ENDPOINT}" \ @@ -266,7 +278,7 @@ function validate_microservices() { '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [{"b64_img_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "transcript_for_inference": "yellow image", "video_id": "8c7461df-b373-4a00-8696-9a2234359fe0", "time_of_frame_ms":"37000000", "source_video":"WeAreGoingOnBullrun_8c7461df-b373-4a00-8696-9a2234359fe0.mp4"}], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' # data prep requiring lvm - echo "Data Prep with Generating Caption for Image" + echo "Validating Data Prep with Generating Caption for Image" validate_service \ "${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ @@ -278,15 +290,15 @@ function validate_microservices() { function validate_megaservice() { # Curl the Mega Service with retrieval - echo "Validate megaservice with first query" + echo "Validating megaservice with first query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ '{"messages": "What is the revenue of Nike in 2023?"}' - - echo "Validate megaservice with first audio query" + + echo "Validating megaservice with first audio query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ @@ -294,7 +306,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' - echo "Validate megaservice with first query with an image" + echo "Validating megaservice with first query with an image" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ @@ -302,7 +314,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Find a similar image"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}]}' - echo "Validate megaservice with follow-up query" + echo "Validating megaservice with follow-up query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ @@ -310,7 +322,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": [{"type": "text", "text": "goodbye"}]}]}' - echo "Validate megaservice with multiple text queries" + echo "Validating megaservice with multiple text queries" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ @@ -321,7 +333,7 @@ function validate_megaservice() { } function validate_delete { - echo "Validate data prep delete files" + echo "Validating data prep delete files" validate_service \ "${DATAPREP_DELETE_FILE_ENDPOINT}" \ '{"status":true}' \ @@ -335,6 +347,7 @@ function delete_data() { rm -rf ${image_fn} rm -rf ${video_fn} rm -rf ${caption_fn} + rm -rf ${pdf_fn} } function stop_docker() { diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 757eb7b2ef..ffc4cddecb 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -17,6 +17,7 @@ ip_address=$(hostname -I | awk '{print $1}') export image_fn="apple.png" export video_fn="WeAreGoingOnBullrun.mp4" export caption_fn="apple.txt" +export pdf_fn="nke-10k-2023.pdf" function check_service_ready() { local container_name="$1" @@ -107,6 +108,7 @@ function prepare_data() { echo "Downloading image and video" wget https://github.com/docarray/docarray/blob/main/tests/toydata/image-data/apple.png?raw=true -O ${image_fn} wget http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoingOnBullrun.mp4 -O ${video_fn} + wget https://raw.githubusercontent.com/opea-project/GenAIComps/v1.1/comps/retrievers/redis/data/nke-10k-2023.pdf -O ${pdf_fn} echo "Writing caption file" echo "This is an apple." > ${caption_fn} sleep 1m @@ -129,6 +131,9 @@ function validate_service() { elif [[ $SERVICE_NAME == *"dataprep-multimodal-redis-ingest"* ]]; then cd $LOG_PATH HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -F "files=@./${image_fn}" -F "files=@./apple.txt" -H 'Content-Type: multipart/form-data' "$URL") + elif [[ $SERVICE_NAME == *"dataprep-multimodal-redis-pdf"* ]]; then + cd $LOG_PATH + HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -F "files=@./${pdf_fn}" -H 'Content-Type: multipart/form-data' "$URL") elif [[ $SERVICE_NAME == *"dataprep_get"* ]]; then HTTP_RESPONSE=$(curl --silent --write-out "HTTPSTATUS:%{http_code}" -X POST -H 'Content-Type: application/json' "$URL") elif [[ $SERVICE_NAME == *"dataprep_del"* ]]; then @@ -197,20 +202,27 @@ function validate_microservices() { sleep 1m # retrieval can't curl as expected, try to wait for more time # test data prep - echo "Data Prep with Generating Transcript for Video" + echo "Validating Data Prep with Generating Transcript for Video" validate_service \ "${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ "dataprep-multimodal-redis-transcript" \ "dataprep-multimodal-redis" - echo "Data Prep with Image & Caption Ingestion" + echo "Validating Data Prep with Image & Caption Ingestion" validate_service \ "${DATAPREP_INGEST_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ "dataprep-multimodal-redis-ingest" \ "dataprep-multimodal-redis" + echo "Validating Data Prep with PDF" + validate_service \ + "${DATAPREP_INGEST_SERVICE_ENDPOINT}" \ + "Data preparation succeeded" \ + "dataprep-multimodal-redis-pdf" \ + "dataprep-multimodal-redis" + echo "Validating get file returns mp4" validate_service \ "${DATAPREP_GET_FILE_ENDPOINT}" \ @@ -267,7 +279,7 @@ function validate_microservices() { '{"retrieved_docs": [], "initial_query": "What is this?", "top_n": 1, "metadata": [{"b64_img_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "transcript_for_inference": "yellow image", "video_id": "8c7461df-b373-4a00-8696-9a2234359fe0", "time_of_frame_ms":"37000000", "source_video":"WeAreGoingOnBullrun_8c7461df-b373-4a00-8696-9a2234359fe0.mp4"}], "chat_template":"The caption of the image is: '\''{context}'\''. {question}"}' # data prep requiring lvm - echo "Data Prep with Generating Caption for Image" + echo "Validating Data Prep with Generating Caption for Image" validate_service \ "${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT}" \ "Data preparation succeeded" \ @@ -279,15 +291,15 @@ function validate_microservices() { function validate_megaservice() { # Curl the Mega Service with retrieval - echo "Validate megaservice with first query" + echo "Validating megaservice with first query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ "multimodalqna" \ "multimodalqna-backend-server" \ '{"messages": "What is the revenue of Nike in 2023?"}' - - echo "Validate megaservice with first audio query" + + echo "Validating megaservice with first audio query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ @@ -295,7 +307,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}]}]}' - echo "Validate megaservice with first query with an image" + echo "Validating megaservice with first query with an image" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"time_of_frame_ms":' \ @@ -303,7 +315,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "text", "text": "Find a similar image"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}]}' - echo "Validate megaservice with follow-up query" + echo "Validating megaservice with follow-up query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ @@ -311,7 +323,7 @@ function validate_megaservice() { "multimodalqna-backend-server" \ '{"messages": [{"role": "user", "content": [{"type": "audio", "audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"}, {"type": "image_url", "image_url": {"url": "https://www.ilankelman.org/stopsigns/australia.jpg"}}]}, {"role": "assistant", "content": "opea project! "}, {"role": "user", "content": [{"type": "text", "text": "goodbye"}]}]}' - echo "Validate megaservice with multiple text queries" + echo "Validating megaservice with multiple text queries" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ '"content":"' \ @@ -321,7 +333,7 @@ function validate_megaservice() { } function validate_delete { - echo "Validate data prep delete files" + echo "Validating data prep delete files" validate_service \ "${DATAPREP_DELETE_FILE_ENDPOINT}" \ '{"status":true}' \ @@ -334,6 +346,7 @@ function delete_data() { echo "Deleting image, video, and caption" rm -rf ${image_fn} rm -rf ${video_fn} + rm -rf ${pdf_fn} rm -rf ${caption_fn} } diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index 2411d1cac9..d0911b3451 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -35,6 +35,7 @@ class Conversation: image: str = None audio_query_file: str = None image_query_file: str = None + pdf: str = None def _template_caption(self): out = "" @@ -190,6 +191,7 @@ def dict(self): "split_video": self.split_video, "image": self.image, "audio_query_file": self.audio_query_file, + "pdf": self.pdf, } @@ -208,4 +210,5 @@ def dict(self): split_video=None, image=None, audio_query_file=None, + pdf=None, ) diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 1291a4ee2a..261d1a18da 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -13,6 +13,7 @@ from conversation import multimodalqna_conv from fastapi import FastAPI from fastapi.staticfiles import StaticFiles +from gradio_pdf import PDF from utils import build_logger, make_temp_image, moderation_msg, server_error_msg, split_video logger = build_logger("gradio_web_server", "gradio_web_server.log") @@ -50,8 +51,13 @@ def clear_history(state, request: gr.Request): os.remove(state.split_video) if state.image and os.path.exists(state.image): os.remove(state.image) + if state.pdf and os.path.exists(state.pdf): + os.remove(state.pdf) state = multimodalqna_conv.copy() - return (state, state.to_gradio_chatbot(), None, None, None, None) + (disable_btn,) * 1 + video = gr.Video(height=512, width=512, elem_id="video", visible=True, label="Media") + image = gr.Image(height=512, width=512, elem_id="image", visible=False, label="Media") + pdf = PDF(height=512, elem_id="pdf", interactive=False, visible=False, label="Media") + return (state, state.to_gradio_chatbot(), None, None, video, image, pdf) + (disable_btn,) * 1 def add_text(state, textbox, audio, request: gr.Request): @@ -93,7 +99,7 @@ def http_bot(state, request: gr.Request): if state.skip_next: # This generate call is skipped due to invalid inputs path_to_sub_videos = state.get_path_to_subvideos() - yield (state, state.to_gradio_chatbot(), path_to_sub_videos, None) + (no_change_btn,) * 1 + yield (state, state.to_gradio_chatbot(), path_to_sub_videos, None, None) + (no_change_btn,) * 1 return if len(state.messages) == state.offset + 2: @@ -121,7 +127,7 @@ def http_bot(state, request: gr.Request): state.messages[-1][-1] = "▌" - yield (state, state.to_gradio_chatbot(), state.split_video, state.image) + (disable_btn,) * 1 + yield (state, state.to_gradio_chatbot(), state.split_video, state.image, state.pdf) + (disable_btn,) * 1 try: response = requests.post( @@ -167,12 +173,19 @@ def http_bot(state, request: gr.Request): print(f"image {state.video_file} does not exist in UI host!") output_image_path = None state.image = output_image_path + elif file_ext == ".pdf": + try: + output_pdf_path = make_temp_image(state.video_file, file_ext) + except: + print(f"pdf {state.video_file} does not exist in UI host!") + output_pdf_path = None + state.pdf = output_pdf_path else: raise requests.exceptions.RequestException except requests.exceptions.RequestException as e: state.messages[-1][-1] = server_error_msg - yield (state, state.to_gradio_chatbot(), None, None) + (enable_btn,) + yield (state, state.to_gradio_chatbot(), None, None, None) + (enable_btn,) return state.messages[-1][-1] = message @@ -186,6 +199,7 @@ def http_bot(state, request: gr.Request): state.to_gradio_chatbot(), gr.Video(state.split_video, visible=state.split_video is not None), gr.Image(state.image, visible=state.image is not None), + PDF(state.pdf, visible=state.pdf is not None, interactive=False, starting_page=int(state.time_of_frame_ms)), ) + (enable_btn,) * 1 logger.info(f"{state.messages[-1][-1]}") @@ -360,6 +374,59 @@ def ingest_with_text(filepath, text, request: gr.Request): return +def ingest_pdf(filepath, request: gr.Request): + yield ( + gr.Textbox(visible=True, value="Please wait while your uploaded PDF is ingested into the database...") + ) + verified_filepath = os.path.normpath(filepath) + if not verified_filepath.startswith(tmp_upload_folder): + print(f"Found malicious PDF file name!") + yield ( + gr.Textbox( + visible=True, + value="Your uploaded PDF's file name has special characters that are not allowed (depends on the OS, some examples are \, /, :, and *). Please consider changing the file name.", + ) + ) + return + basename = os.path.basename(verified_filepath) + dest = os.path.join(static_dir, basename) + shutil.copy(verified_filepath, dest) + print("Done copying uploaded file to static folder.") + headers = { + # 'Content-Type': 'multipart/form-data' + } + files = { + "files": open(dest, "rb"), + } + response = requests.post(dataprep_ingest_addr, headers=headers, files=files) + print(response.status_code) + if response.status_code == 200: + response = response.json() + yield (gr.Textbox(visible=True, value="The PDF ingestion is done. Saving your uploaded PDF...")) + time.sleep(2) + fn_no_ext = Path(dest).stem + if "file_id_maps" in response and fn_no_ext in response["file_id_maps"]: + new_dst = os.path.join(static_dir, response["file_id_maps"][fn_no_ext]) + print(response["file_id_maps"][fn_no_ext]) + os.rename(dest, new_dst) + yield ( + gr.Textbox( + visible=True, + value="Congratulations, your upload is done!\nClick the X button on the top right of the PDF upload box to upload another file.", + ) + ) + return + else: + yield ( + gr.Textbox( + visible=True, + value=f"Something went wrong (server error: {response.status_code})!\nPlease click the X button on the top right of the PDF upload box to reupload your file.", + ) + ) + time.sleep(2) + return + + def hide_text(request: gr.Request): return gr.Textbox(visible=False) @@ -369,8 +436,8 @@ def clear_text(request: gr.Request): with gr.Blocks() as upload_video: - gr.Markdown("# Ingest Your Own Video Using Generated Transcripts or Captions") - gr.Markdown("Use this interface to ingest your own video and generate transcripts or captions for it") + gr.Markdown("# Ingest Videos Using Generated Transcripts or Captions") + gr.Markdown("Use this interface to ingest a video and generate transcripts or captions for it") def select_upload_type(choice, request: gr.Request): if choice == "transcript": @@ -404,8 +471,8 @@ def select_upload_type(choice, request: gr.Request): text_options_radio.change(select_upload_type, [text_options_radio], [video_upload_trans, video_upload_cap]) with gr.Blocks() as upload_image: - gr.Markdown("# Ingest Your Own Image Using Generated or Custom Captions/Labels") - gr.Markdown("Use this interface to ingest your own image and generate a caption for it") + gr.Markdown("# Ingest Images Using Generated or Custom Captions") + gr.Markdown("Use this interface to ingest an image and generate a caption for it") def select_upload_type(choice, request: gr.Request): if choice == "gen_caption": @@ -437,8 +504,8 @@ def select_upload_type(choice, request: gr.Request): text_options_radio.change(select_upload_type, [text_options_radio], [image_upload_cap, image_upload_text]) with gr.Blocks() as upload_audio: - gr.Markdown("# Ingest Your Own Audio Using Generated Transcripts") - gr.Markdown("Use this interface to ingest your own audio file and generate a transcript for it") + gr.Markdown("# Ingest Audio Using Generated Transcripts") + gr.Markdown("Use this interface to ingest an audio file and generate a transcript for it") with gr.Row(): with gr.Column(scale=6): audio_upload = gr.Audio(type="filepath") @@ -453,17 +520,16 @@ def select_upload_type(choice, request: gr.Request): audio_upload.clear(hide_text, [], [text_upload_result]) with gr.Blocks() as upload_pdf: - gr.Markdown("# Ingest Your Own PDF") - gr.Markdown("Use this interface to ingest your own PDF file with text, tables, images, and graphs") + gr.Markdown("# Ingest PDF Files") + gr.Markdown("Use this interface to ingest a PDF file with text and images") with gr.Row(): with gr.Column(scale=6): - image_upload_cap = gr.File() + pdf_upload = PDF(label="PDF File") with gr.Column(scale=3): - text_upload_result_cap = gr.Textbox(visible=False, interactive=False, label="Upload Status") - image_upload_cap.upload( - ingest_gen_caption, [image_upload_cap, gr.Textbox(value="PDF", visible=False)], [text_upload_result_cap] + pdf_upload_result = gr.Textbox(visible=False, interactive=False, label="Upload Status") + pdf_upload.upload( + ingest_pdf, [pdf_upload], [pdf_upload_result] ) - image_upload_cap.clear(hide_text, [], [text_upload_result_cap]) with gr.Blocks() as qna: state = gr.State(multimodalqna_conv.copy()) @@ -471,6 +537,7 @@ def select_upload_type(choice, request: gr.Request): with gr.Column(scale=2): video = gr.Video(height=512, width=512, elem_id="video", visible=True, label="Media") image = gr.Image(height=512, width=512, elem_id="image", visible=False, label="Media") + pdf = PDF(height=512, elem_id="pdf", interactive=False, visible=False, label="Media") with gr.Column(scale=9): chatbot = gr.Chatbot(elem_id="chatbot", label="MultimodalQnA Chatbot", height=390) with gr.Row(): @@ -501,7 +568,7 @@ def select_upload_type(choice, request: gr.Request): [ state, ], - [state, chatbot, textbox, audio, video, image, clear_btn], + [state, chatbot, textbox, audio, video, image, pdf, clear_btn], ) submit_btn.click( @@ -513,7 +580,7 @@ def select_upload_type(choice, request: gr.Request): [ state, ], - [state, chatbot, video, image, clear_btn], + [state, chatbot, video, image, pdf, clear_btn], ) with gr.Blocks(css=css) as demo: gr.Markdown("# MultimodalQnA") @@ -526,6 +593,8 @@ def select_upload_type(choice, request: gr.Request): upload_image.render() with gr.TabItem("Upload Audio"): upload_audio.render() + with gr.TabItem("Upload PDF"): + upload_pdf.render() demo.queue() app = gr.mount_gradio_app(app, demo, path="/") diff --git a/MultimodalQnA/ui/gradio/requirements.txt b/MultimodalQnA/ui/gradio/requirements.txt index bb784f9112..9596e21ff1 100644 --- a/MultimodalQnA/ui/gradio/requirements.txt +++ b/MultimodalQnA/ui/gradio/requirements.txt @@ -1,4 +1,5 @@ gradio==5.5.0 +gradio_pdf==0.0.19 moviepy==1.0.3 numpy==1.26.4 opencv-python==4.10.0.82 diff --git a/MultimodalQnA/ui/gradio/utils.py b/MultimodalQnA/ui/gradio/utils.py index 3d7be10118..c22d102a5a 100644 --- a/MultimodalQnA/ui/gradio/utils.py +++ b/MultimodalQnA/ui/gradio/utils.py @@ -126,7 +126,7 @@ def make_temp_image( output_image_name: str = "image_tmp", ): Path(output_image_path).mkdir(parents=True, exist_ok=True) - output_image = os.path.join(output_image_path, "{}.{}".format(output_image_name, file_ext)) + output_image = os.path.join(output_image_path, "{}{}".format(output_image_name, file_ext)) shutil.copy(image_name, output_image) return output_image From 05812b5b562905963b2e2e41507931444d41b4a0 Mon Sep 17 00:00:00 2001 From: okhleif-IL Date: Thu, 9 Jan 2025 10:52:55 -0800 Subject: [PATCH 10/26] removed merge conflicts Signed-off-by: okhleif-IL --- MultimodalQnA/docker_compose/intel/cpu/xeon/README.md | 6 +----- MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md | 6 +----- 2 files changed, 2 insertions(+), 10 deletions(-) diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index 7079d0e790..db37974cd7 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -128,11 +128,7 @@ Build embedding-multimodal-bridgetower docker image ```bash git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps -<<<<<<< HEAD -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . -======= -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMBEDDER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/src/integrations/dependency/bridgetower/Dockerfile . ->>>>>>> origin/main +docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/src/integrations/dependency/bridgetower/Dockerfile . ``` Build embedding microservice image diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index a3e334db7d..ffd3be7ad4 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -80,11 +80,7 @@ Build embedding-multimodal-bridgetower docker image ```bash git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps -<<<<<<< HEAD -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/multimodal/bridgetower/Dockerfile . -======= -docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMBEDDER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/src/integrations/dependency/bridgetower/Dockerfile . ->>>>>>> origin/main +docker build --no-cache -t opea/embedding-multimodal-bridgetower:latest --build-arg EMBEDDER_PORT=$EMM_BRIDGETOWER_PORT --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/src/integrations/dependency/bridgetower/Dockerfile . ``` Build embedding microservice image From fda37f42e7eaa96692140483f6c872bc68741f29 Mon Sep 17 00:00:00 2001 From: Omar Khleif Date: Fri, 10 Jan 2025 13:17:11 -0800 Subject: [PATCH 11/26] Fixed Whisper Service Port merge (#39) * fix whisper_server_port issue Signed-off-by: okhleif-IL * removed unneeded line Signed-off-by: okhleif-IL * fix for megaservice curls Signed-off-by: okhleif-IL * removed v1/encode and reverted accidental change Signed-off-by: okhleif-IL --------- Signed-off-by: okhleif-IL --- MultimodalQnA/docker_compose/intel/cpu/xeon/README.md | 3 ++- MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml | 2 +- MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh | 3 ++- MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md | 3 ++- MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml | 3 ++- MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh | 3 ++- MultimodalQnA/multimodalqna.py | 2 +- 7 files changed, 12 insertions(+), 7 deletions(-) diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index db37974cd7..4d0ca93bb2 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -80,6 +80,7 @@ export MM_RETRIEVER_SERVICE_HOST_IP=${host_ip} export LVM_SERVICE_HOST_IP=${host_ip} export MEGA_SERVICE_HOST_IP=${host_ip} export WHISPER_PORT=7066 +export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export WHISPER_MODEL="base" export MAX_IMAGES=1 export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT @@ -100,7 +101,7 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export BRIDGE_TOWER_EMBEDDING=true -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export REDIS_RETRIEVER_PORT=7000 export LVM_PORT=9399 diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml index 09afe3bba7..bf28db0de1 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml @@ -162,7 +162,7 @@ services: LVM_MODEL_ID: ${LVM_MODEL_ID} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} - WHISPER_SERVER_PORT: ${WHISPER_SERVER_PORT} + WHISPER_PORT: ${WHISPER_PORT} WHISPER_SERVER_ENDPOINT: ${WHISPER_SERVER_ENDPOINT} ipc: host restart: always diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh index 776559cf91..1e8428ba3e 100755 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh @@ -18,6 +18,7 @@ export LVM_SERVICE_HOST_IP=${host_ip} export MEGA_SERVICE_HOST_IP=${host_ip} export WHISPER_PORT=7066 +export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export WHISPER_MODEL="base" export MAX_IMAGES=1 export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT @@ -40,7 +41,7 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export BRIDGE_TOWER_EMBEDDING=true diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index ffd3be7ad4..1278d7e900 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -34,6 +34,7 @@ export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}" export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" export WHISPER_PORT=7066 +export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export MAX_IMAGES=1 export WHISPER_MODEL="base" export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT @@ -49,7 +50,7 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" export BRIDGE_TOWER_EMBEDDING=true -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export REDIS_RETRIEVER_PORT=7000 export LVM_PORT=9399 diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml index d422cc6de7..a50f83fc8a 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml @@ -19,6 +19,7 @@ services: http_proxy: ${http_proxy} https_proxy: ${https_proxy} WHISPER_PORT: ${WHISPER_PORT} + WHISPER_SERVER_ENDPOINT: ${WHISPER_SERVER_ENDPOINT} restart: unless-stopped asr: image: ${REGISTRY:-opea}/asr:${TAG:-latest} @@ -180,7 +181,7 @@ services: LVM_MODEL_ID: ${LVM_MODEL_ID} ASR_SERVICE_PORT: ${ASR_SERVICE_PORT} ASR_SERVICE_ENDPOINT: ${ASR_SERVICE_ENDPOINT} - WHISPER_SERVER_PORT: ${WHISPER_SERVER_PORT} + WHISPER_PORT: ${WHISPER_PORT} WHISPER_SERVER_ENDPOINT: ${WHISPER_SERVER_ENDPOINT} ipc: host restart: always diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh index 4b8b617f88..94d8a74bfc 100755 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh @@ -24,6 +24,7 @@ export REDIS_HOST=${host_ip} export INDEX_NAME="mm-rag-redis" export WHISPER_PORT=7066 +export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export MAX_IMAGES=1 export WHISPER_MODEL="base" export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT @@ -40,7 +41,7 @@ export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/ export EMM_BRIDGETOWER_PORT=6006 export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" -export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" +export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export BRIDGE_TOWER_EMBEDDING=true diff --git a/MultimodalQnA/multimodalqna.py b/MultimodalQnA/multimodalqna.py index 06ace8c125..51b2ca29b9 100644 --- a/MultimodalQnA/multimodalqna.py +++ b/MultimodalQnA/multimodalqna.py @@ -27,7 +27,7 @@ MM_RETRIEVER_SERVICE_PORT = int(os.getenv("MM_RETRIEVER_SERVICE_PORT", 7000)) LVM_SERVICE_HOST_IP = os.getenv("LVM_SERVICE_HOST_IP", "0.0.0.0") LVM_SERVICE_PORT = int(os.getenv("LVM_PORT", 9399)) -WHISPER_PORT = int(os.getenv("WHISPER_PORT"), 7066) +WHISPER_PORT = int(os.getenv("WHISPER_PORT", 7066)) WHISPER_SERVER_ENDPOINT = os.getenv("WHISPER_SERVER_ENDPOINT", "http://0.0.0.0:$WHISPER_PORT/v1/asr") From 675735efe55e1c73864086c37a97bb044b634fe7 Mon Sep 17 00:00:00 2001 From: Harsha Ramayanam Date: Fri, 10 Jan 2025 13:58:34 -0800 Subject: [PATCH 12/26] Fixes bug with image query (#40) Signed-off-by: Harsha Ramayanam --- MultimodalQnA/ui/gradio/conversation.py | 13 ++++++------- MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py | 3 +-- 2 files changed, 7 insertions(+), 9 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index d0911b3451..4b86f8badc 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -34,7 +34,6 @@ class Conversation: split_video: str = None image: str = None audio_query_file: str = None - image_query_file: str = None pdf: str = None def _template_caption(self): @@ -49,9 +48,9 @@ def get_prompt(self): # Need to do RAG. If the query is text, prompt is the query only if self.audio_query_file: ret = [{"role": "user", "content": [{"type": "audio", "audio": self.get_b64_audio_query()}]}] - elif self.image_query_file: - b64_image = get_b64_frame_from_timestamp(self.image_query_file, 0) - ret = [{"role": "user", "content": [{"type": "text", "text": self.messages[0][1]},{"type": "image_url", "image_url": {"url": b64_image}}]}] + elif len(messages) in self.image_query_files: + b64_image = get_b64_frame_from_timestamp(self.image_query_files[len(messages)], 0) + ret = [{"role": "user", "content": [{"type": "text", "text": messages[0][1]},{"type": "image_url", "image_url": {"url": b64_image}}]}] else: ret = messages[0][1] else: @@ -80,8 +79,8 @@ def get_prompt(self): content[0]["text"] = content[0]["text"] + " " + self._template_caption() content.append({"type": "image_url", "image_url": {"url": base64_frame}}) # There might be a query image - if self.image_query_file: - content.append({"type": "image_url", "image_url": {"url": self.image_query_file}}) + if i+2 in self.image_query_files: + content.append({"type": "image_url", "image_url": {"url": get_b64_frame_from_timestamp(self.image_query_files[i+2], 0)}}) dic["content"] = content conv_dict.append(dic) else: @@ -132,7 +131,7 @@ def to_gradio_chatbot(self): img_str = f'user upload image' msg = img_str + msg.replace("", "").strip() ret.append([msg, None]) - elif self.image_query_file: + elif i in self.image_query_files: import base64 from io import BytesIO diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 261d1a18da..ab96383cbc 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -69,9 +69,9 @@ def add_text(state, textbox, audio, request: gr.Request): state.append_message(state.roles[1], None) state.skip_next = False return (state, state.to_gradio_chatbot(), None, None) + (disable_btn,) * 1 + # If it is a image query elif textbox['files']: image_file = textbox['files'][0] - state.image_query_file = image_file state.image_query_files[len(state.messages)] = image_file state.append_message(state.roles[0], text) state.append_message(state.roles[1], None) @@ -109,7 +109,6 @@ def http_bot(state, request: gr.Request): new_state.append_message(new_state.roles[0], state.messages[-2][1]) new_state.append_message(new_state.roles[1], None) new_state.audio_query_file = state.audio_query_file - new_state.image_query_file = state.image_query_file new_state.image_query_files = state.image_query_files state = new_state From da1e6d2f42734067e409c3ce2fac8fa8d859cc01 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 10 Jan 2025 22:47:00 +0000 Subject: [PATCH 13/26] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- .../docker_compose/intel/cpu/xeon/README.md | 4 +++ .../docker_compose/intel/hpu/gaudi/README.md | 4 +++ MultimodalQnA/multimodalqna.py | 17 +++++----- MultimodalQnA/tests/test_compose_on_gaudi.sh | 2 +- MultimodalQnA/tests/test_compose_on_xeon.sh | 2 +- MultimodalQnA/ui/gradio/conversation.py | 33 +++++++++++++----- .../ui/gradio/multimodalqna_ui_gradio.py | 34 +++++++++---------- 7 files changed, 58 insertions(+), 38 deletions(-) diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md index 999d2e2c87..4815e2383e 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/README.md @@ -395,6 +395,7 @@ curl -X POST \ 8. MegaService Test the MegaService with a text query: + ```bash curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -403,6 +404,7 @@ curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ ``` Test the MegaService with an audio query: + ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -410,6 +412,7 @@ curl http://${host_ip}:8888/v1/multimodalqna \ ``` Test the MegaService with a text and image query: + ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -417,6 +420,7 @@ curl http://${host_ip}:8888/v1/multimodalqna \ ``` Test the MegaService with a back and forth conversation between the user and assistant: + ```bash curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ diff --git a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md index e4f86817b6..be7b2751db 100644 --- a/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md +++ b/MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md @@ -345,6 +345,7 @@ curl -X POST \ 8. MegaService Test the MegaService with a text query: + ```bash curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -353,6 +354,7 @@ curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ ``` Test the MegaService with an audio query: + ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -360,6 +362,7 @@ curl http://${host_ip}:8888/v1/multimodalqna \ ``` Test the MegaService with a text and image query: + ```bash curl http://${host_ip}:8888/v1/multimodalqna \ -H "Content-Type: application/json" \ @@ -367,6 +370,7 @@ curl http://${host_ip}:8888/v1/multimodalqna \ ``` Test the MegaService with a back and forth conversation between the user and assistant: + ```bash curl http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna \ -H "Content-Type: application/json" \ diff --git a/MultimodalQnA/multimodalqna.py b/MultimodalQnA/multimodalqna.py index 51b2ca29b9..b62bfc184f 100644 --- a/MultimodalQnA/multimodalqna.py +++ b/MultimodalQnA/multimodalqna.py @@ -91,19 +91,17 @@ def add_remote_service(self): self.lvm_megaservice.add(lvm) def _get_role_labels(self): - """ - Returns a dictionary of role labels that are used in the chat prompt based on the LVM_MODEL_ID - environment variable. The function defines the role labels used by the llava-1.5, llava-v1.6-vicuna, + """Returns a dictionary of role labels that are used in the chat prompt based on the LVM_MODEL_ID + environment variable. + + The function defines the role labels used by the llava-1.5, llava-v1.6-vicuna, llava-v1.6-mistral, and llava-interleave models, and then defaults to use "USER:" and "ASSISTANT:" if the LVM_MODEL_ID is not one of those. """ lvm_model = os.getenv("LVM_MODEL_ID", "") # Default to labels used by llava-1.5 and llava-v1.6-vicuna models - role_labels = { - "user": "USER:", - "assistant": "ASSISTANT:" - } + role_labels = {"user": "USER:", "assistant": "ASSISTANT:"} if "llava-interleave" in lvm_model: role_labels["user"] = "<|im_start|>user" @@ -251,8 +249,9 @@ def convert_audio_to_text(self, audio): return response["asr_result"] async def handle_request(self, request: Request): - """ - MultimodalQnA accepts input queries as text, images, and/or audio. The messages in the request can be a single + """MultimodalQnA accepts input queries as text, images, and/or audio. + + The messages in the request can be a single message (which would be assumed to be a first query from the user) or back and forth conversation between the user and the assistant. Audio queries are converted to text before being sent to the megaservice and the translated text is returned diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index d3444ddd89..a968e53790 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -298,7 +298,7 @@ function validate_megaservice() { "multimodalqna" \ "multimodalqna-backend-server" \ '{"messages": "What is the revenue of Nike in 2023?"}' - + echo "Validating megaservice with first audio query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index e713a212af..8cd96a4288 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -299,7 +299,7 @@ function validate_megaservice() { "multimodalqna" \ "multimodalqna-backend-server" \ '{"messages": "What is the revenue of Nike in 2023?"}' - + echo "Validating megaservice with first audio query" validate_service \ "http://${host_ip}:${MEGA_SERVICE_PORT}/v1/multimodalqna" \ diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index 4b86f8badc..e65c543014 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -3,9 +3,9 @@ import dataclasses from enum import Enum, auto -from typing import List, Dict -from PIL import Image +from typing import Dict, List +from PIL import Image from utils import convert_audio_to_base64, get_b64_frame_from_timestamp @@ -50,7 +50,15 @@ def get_prompt(self): ret = [{"role": "user", "content": [{"type": "audio", "audio": self.get_b64_audio_query()}]}] elif len(messages) in self.image_query_files: b64_image = get_b64_frame_from_timestamp(self.image_query_files[len(messages)], 0) - ret = [{"role": "user", "content": [{"type": "text", "text": messages[0][1]},{"type": "image_url", "image_url": {"url": b64_image}}]}] + ret = [ + { + "role": "user", + "content": [ + {"type": "text", "text": messages[0][1]}, + {"type": "image_url", "image_url": {"url": b64_image}}, + ], + } + ] else: ret = messages[0][1] else: @@ -79,8 +87,15 @@ def get_prompt(self): content[0]["text"] = content[0]["text"] + " " + self._template_caption() content.append({"type": "image_url", "image_url": {"url": base64_frame}}) # There might be a query image - if i+2 in self.image_query_files: - content.append({"type": "image_url", "image_url": {"url": get_b64_frame_from_timestamp(self.image_query_files[i+2], 0)}}) + if i + 2 in self.image_query_files: + content.append( + { + "type": "image_url", + "image_url": { + "url": get_b64_frame_from_timestamp(self.image_query_files[i + 2], 0) + }, + } + ) dic["content"] = content conv_dict.append(dic) else: @@ -134,7 +149,7 @@ def to_gradio_chatbot(self): elif i in self.image_query_files: import base64 from io import BytesIO - + image = Image.open(self.image_query_files[i]) max_hw, min_hw = max(image.size), min(image.size) aspect_ratio = max_hw / min_hw @@ -148,14 +163,14 @@ def to_gradio_chatbot(self): H, W = shortest_edge, longest_edge image = image.resize((W, H)) buffered = BytesIO() - if image.format not in ['JPEG', 'JPG']: - image = image.convert('RGB') + if image.format not in ["JPEG", "JPG"]: + image = image.convert("RGB") image.save(buffered, format="JPEG") img_b64_str = base64.b64encode(buffered.getvalue()).decode() img_str = f'user upload image' msg = img_str + msg.replace("", "").strip() ret.append([msg, None]) - + else: ret.append([msg, None]) else: diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index ab96383cbc..1ef5c63f85 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -61,7 +61,7 @@ def clear_history(state, request: gr.Request): def add_text(state, textbox, audio, request: gr.Request): - text = textbox['text'] + text = textbox["text"] logger.info(f"add_text. ip: {request.client.host}. len: {len(text)}") if audio: state.audio_query_file = audio @@ -70,8 +70,8 @@ def add_text(state, textbox, audio, request: gr.Request): state.skip_next = False return (state, state.to_gradio_chatbot(), None, None) + (disable_btn,) * 1 # If it is a image query - elif textbox['files']: - image_file = textbox['files'][0] + elif textbox["files"]: + image_file = textbox["files"][0] state.image_query_files[len(state.messages)] = image_file state.append_message(state.roles[0], text) state.append_message(state.roles[1], None) @@ -374,12 +374,10 @@ def ingest_with_text(filepath, text, request: gr.Request): def ingest_pdf(filepath, request: gr.Request): - yield ( - gr.Textbox(visible=True, value="Please wait while your uploaded PDF is ingested into the database...") - ) + yield (gr.Textbox(visible=True, value="Please wait while your uploaded PDF is ingested into the database...")) verified_filepath = os.path.normpath(filepath) if not verified_filepath.startswith(tmp_upload_folder): - print(f"Found malicious PDF file name!") + print("Found malicious PDF file name!") yield ( gr.Textbox( visible=True, @@ -440,9 +438,13 @@ def clear_text(request: gr.Request): def select_upload_type(choice, request: gr.Request): if choice == "transcript": - return gr.Video(sources="upload", visible=True, format="mp4"), gr.Video(sources="upload", visible=False, format="mp4") + return gr.Video(sources="upload", visible=True, format="mp4"), gr.Video( + sources="upload", visible=False, format="mp4" + ) else: - return gr.Video(sources="upload", visible=False, format="mp4"), gr.Video(sources="upload", visible=True, format="mp4") + return gr.Video(sources="upload", visible=False, format="mp4"), gr.Video( + sources="upload", visible=True, format="mp4" + ) with gr.Row(): with gr.Column(scale=6): @@ -526,9 +528,7 @@ def select_upload_type(choice, request: gr.Request): pdf_upload = PDF(label="PDF File") with gr.Column(scale=3): pdf_upload_result = gr.Textbox(visible=False, interactive=False, label="Upload Status") - pdf_upload.upload( - ingest_pdf, [pdf_upload], [pdf_upload_result] - ) + pdf_upload.upload(ingest_pdf, [pdf_upload], [pdf_upload_result]) with gr.Blocks() as qna: state = gr.State(multimodalqna_conv.copy()) @@ -544,10 +544,7 @@ def select_upload_type(choice, request: gr.Request): with gr.Tabs(): with gr.TabItem("Text Query"): textbox = gr.MultimodalTextbox( - show_label=False, - container=True, - submit_btn=False, - file_types=['image'] + show_label=False, container=True, submit_btn=False, file_types=["image"] ) with gr.TabItem("Audio Query"): audio = gr.Audio( @@ -610,7 +607,9 @@ def select_upload_type(choice, request: gr.Request): MEGA_SERVICE_PORT = os.getenv("MEGA_SERVICE_PORT", 8888) DATAPREP_MMR_PORT = os.getenv("DATAPREP_MMR_PORT", 6007) - backend_service_endpoint = os.getenv("BACKEND_SERVICE_ENDPOINT", f"http://localhost:{MEGA_SERVICE_PORT}/v1/multimodalqna") + backend_service_endpoint = os.getenv( + "BACKEND_SERVICE_ENDPOINT", f"http://localhost:{MEGA_SERVICE_PORT}/v1/multimodalqna" + ) dataprep_ingest_endpoint = os.getenv( "DATAPREP_INGEST_SERVICE_ENDPOINT", f"http://localhost:{DATAPREP_MMR_PORT}/v1/ingest_with_text" ) @@ -632,4 +631,3 @@ def select_upload_type(choice, request: gr.Request): dataprep_gen_caption_addr = dataprep_gen_caption_endpoint uvicorn.run(app, host=args.host, port=args.port) - \ No newline at end of file From 596179542ecdabf5c11532b3a955e21042088f98 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Fri, 10 Jan 2025 15:06:16 -0800 Subject: [PATCH 14/26] Add asr to list of images to build in tests (#41) Signed-off-by: dmsuehir --- MultimodalQnA/tests/test_compose_on_gaudi.sh | 2 +- MultimodalQnA/tests/test_compose_on_rocm.sh | 2 +- MultimodalQnA/tests/test_compose_on_xeon.sh | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index a968e53790..65bcb52676 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -46,7 +46,7 @@ function build_docker_images() { cd $WORKPATH/docker_image_build git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." - service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-tgi dataprep-multimodal-redis whisper" + service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-tgi dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log docker pull ghcr.io/huggingface/tgi-gaudi:2.0.6 diff --git a/MultimodalQnA/tests/test_compose_on_rocm.sh b/MultimodalQnA/tests/test_compose_on_rocm.sh index 3432198362..9d81e14a10 100644 --- a/MultimodalQnA/tests/test_compose_on_rocm.sh +++ b/MultimodalQnA/tests/test_compose_on_rocm.sh @@ -23,7 +23,7 @@ function build_docker_images() { git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." - service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-tgi lvm-llava-svc dataprep-multimodal-redis whisper" + service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-tgi lvm-llava-svc dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log docker images && sleep 1m diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 8cd96a4288..c852a48ca8 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -46,7 +46,7 @@ function build_docker_images() { cd $WORKPATH/docker_image_build git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." - service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-llava lvm-llava-svc dataprep-multimodal-redis whisper" + service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-llava lvm-llava-svc dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log docker images && sleep 1m From 100e7c7660cccac23818f0d1b0d78127e2b5d7ae Mon Sep 17 00:00:00 2001 From: Melanie Buehler Date: Wed, 15 Jan 2025 10:57:29 -0800 Subject: [PATCH 15/26] Revert clones to OPEA main branch Signed-off-by: Melanie Buehler --- MultimodalQnA/Dockerfile | 3 +-- MultimodalQnA/tests/test_compose_on_gaudi.sh | 2 +- MultimodalQnA/tests/test_compose_on_xeon.sh | 2 +- 3 files changed, 3 insertions(+), 4 deletions(-) diff --git a/MultimodalQnA/Dockerfile b/MultimodalQnA/Dockerfile index 1baca70dfa..534203c96e 100644 --- a/MultimodalQnA/Dockerfile +++ b/MultimodalQnA/Dockerfile @@ -13,8 +13,7 @@ RUN useradd -m -s /bin/bash user && \ chown -R user /home/user/ WORKDIR /home/user/ -#RUN git clone https://github.com/opea-project/GenAIComps.git -RUN git clone https://github.com/mhbuehler/GenAIComps.git --single-branch --branch mmqna-image-query +RUN git clone https://github.com/opea-project/GenAIComps.git WORKDIR /home/user/GenAIComps RUN pip install --no-cache-dir --upgrade pip setuptools && \ diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 5cba0d4d4f..cba32d6a78 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -44,7 +44,7 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ + git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index 5ecdcb6e81..a5f72deffc 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -44,7 +44,7 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ + git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-llava lvm dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log From 48d06fe274d0c537b05ef056b87a740f22a383c8 Mon Sep 17 00:00:00 2001 From: Melanie Buehler Date: Wed, 15 Jan 2025 11:05:06 -0800 Subject: [PATCH 16/26] Rollback accidental commit Signed-off-by: Melanie Buehler --- MultimodalQnA/Dockerfile | 3 ++- MultimodalQnA/tests/test_compose_on_gaudi.sh | 3 ++- MultimodalQnA/tests/test_compose_on_xeon.sh | 3 ++- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/MultimodalQnA/Dockerfile b/MultimodalQnA/Dockerfile index 534203c96e..1baca70dfa 100644 --- a/MultimodalQnA/Dockerfile +++ b/MultimodalQnA/Dockerfile @@ -13,7 +13,8 @@ RUN useradd -m -s /bin/bash user && \ chown -R user /home/user/ WORKDIR /home/user/ -RUN git clone https://github.com/opea-project/GenAIComps.git +#RUN git clone https://github.com/opea-project/GenAIComps.git +RUN git clone https://github.com/mhbuehler/GenAIComps.git --single-branch --branch mmqna-image-query WORKDIR /home/user/GenAIComps RUN pip install --no-cache-dir --upgrade pip setuptools && \ diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index cba32d6a78..7ea1b86864 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -44,7 +44,8 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + #git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index a5f72deffc..db3713974e 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -44,7 +44,8 @@ function check_service_ready() { function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + #git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever-redis lvm-llava lvm dataprep-multimodal-redis asr whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log From b426966f4e6a5377dded022033f76684360211e1 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Wed, 15 Jan 2025 11:33:25 -0800 Subject: [PATCH 17/26] Fix env vars in the MMQnA test environment and align_inputs error (#45) * Fix embedding tests for MMQnA Signed-off-by: dmsuehir * Add missing WHISPER_SERVER_ENDPOINT env var Signed-off-by: dmsuehir * Fix align_inputs issue to handle dictionaries Signed-off-by: dmsuehir --------- Signed-off-by: dmsuehir --- MultimodalQnA/multimodalqna.py | 12 ++++++++---- MultimodalQnA/tests/test_compose_on_gaudi.sh | 3 ++- MultimodalQnA/tests/test_compose_on_xeon.sh | 3 ++- 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/MultimodalQnA/multimodalqna.py b/MultimodalQnA/multimodalqna.py index b62bfc184f..0e3f87d190 100644 --- a/MultimodalQnA/multimodalqna.py +++ b/MultimodalQnA/multimodalqna.py @@ -33,14 +33,18 @@ def align_inputs(self, inputs, cur_node, runtime_graph, llm_parameters_dict, **kwargs): if self.services[cur_node].service_type == ServiceType.EMBEDDING: + if "text" in inputs: + input_text = inputs["text"]["text"] if isinstance(inputs["text"], dict) else inputs["text"] + if "image" in inputs: + input_image = inputs["image"]["base64_image"] if isinstance(inputs["image"], dict) else inputs["image"] if "text" in inputs and "image" in inputs: - text_doc = TextDoc(text=inputs["text"]) - image_doc = ImageDoc(base64_image=inputs["image"]) + text_doc = TextDoc(text=input_text) + image_doc = ImageDoc(base64_image=input_image) inputs = TextImageDoc(text=text_doc, image=image_doc).dict() elif "image" in inputs: - inputs = ImageDoc(base64_image=inputs["image"]).dict() + inputs = ImageDoc(base64_image=input_image).dict() elif "text" in inputs: - inputs = TextDoc(text=inputs["text"]).dict() + inputs = TextDoc(text=input_text).dict() return inputs diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 7ea1b86864..7be425ffdb 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -69,6 +69,7 @@ function setup_env() { export WHISPER_PORT=7066 export MAX_IMAGES=1 export WHISPER_MODEL="base" + export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 @@ -82,7 +83,7 @@ function setup_env() { export EMM_BRIDGETOWER_PORT=6006 export BRIDGE_TOWER_EMBEDDING=true export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" - export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" + export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export REDIS_RETRIEVER_PORT=7000 export LVM_PORT=9399 diff --git a/MultimodalQnA/tests/test_compose_on_xeon.sh b/MultimodalQnA/tests/test_compose_on_xeon.sh index db3713974e..3d5ad4bbfb 100644 --- a/MultimodalQnA/tests/test_compose_on_xeon.sh +++ b/MultimodalQnA/tests/test_compose_on_xeon.sh @@ -62,6 +62,7 @@ function setup_env() { export WHISPER_PORT=7066 export MAX_IMAGES=1 export WHISPER_MODEL="base" + export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr" export ASR_ENDPOINT=http://$host_ip:$WHISPER_PORT export ASR_PORT=9099 export ASR_SERVICE_PORT=3001 @@ -80,7 +81,7 @@ function setup_env() { export EMM_BRIDGETOWER_PORT=6006 export BRIDGE_TOWER_EMBEDDING=true export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc" - export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT/v1/encode" + export MMEI_EMBEDDING_ENDPOINT="http://${host_ip}:$EMM_BRIDGETOWER_PORT" export MM_EMBEDDING_PORT_MICROSERVICE=6000 export REDIS_RETRIEVER_PORT=7000 export LVM_PORT=9399 From 343403f3453c6e204de397df1766513986182785 Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Wed, 15 Jan 2025 14:47:00 -0800 Subject: [PATCH 18/26] Fix for omitted transcripts for pdfs (#44) Signed-off-by: Melanie Buehler --- MultimodalQnA/ui/gradio/conversation.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index e65c543014..33608fdd38 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -68,12 +68,11 @@ def get_prompt(self): for i, (role, message) in enumerate(messages): if message: dic = {"role": role} - # The main message will be either audio or text + content = [{"type": "text", "text": message}] + # There might be audio if self.audio_query_file: - content = [{"type": "audio", "audio": self.get_b64_audio_query()}] - else: - content = [{"type": "text", "text": message}] - # There might be a returned image/video from the first query + content.append({"type": "audio", "audio": self.get_b64_audio_query()}) + # There might be a returned item from the first query if i == 0 and self.time_of_frame_ms and self.video_file: base64_frame = ( self.base64_frame From b1dd5d9934d98a3458864355e56a573f66e7b895 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Wed, 15 Jan 2025 22:47:39 +0000 Subject: [PATCH 19/26] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- MultimodalQnA/ui/gradio/conversation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index 33608fdd38..39b60bbade 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -71,7 +71,7 @@ def get_prompt(self): content = [{"type": "text", "text": message}] # There might be audio if self.audio_query_file: - content.append({"type": "audio", "audio": self.get_b64_audio_query()}) + content.append({"type": "audio", "audio": self.get_b64_audio_query()}) # There might be a returned item from the first query if i == 0 and self.time_of_frame_ms and self.video_file: base64_frame = ( From 2f2730230782a1049705f2b27e80c40d886ae0a8 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Wed, 15 Jan 2025 14:55:59 -0800 Subject: [PATCH 20/26] Increase timeout waiting the LVM to download in Gaudi MMQnA test (#47) Signed-off-by: dmsuehir --- MultimodalQnA/tests/test_compose_on_gaudi.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/MultimodalQnA/tests/test_compose_on_gaudi.sh b/MultimodalQnA/tests/test_compose_on_gaudi.sh index 7be425ffdb..1b3053eb51 100644 --- a/MultimodalQnA/tests/test_compose_on_gaudi.sh +++ b/MultimodalQnA/tests/test_compose_on_gaudi.sh @@ -252,7 +252,7 @@ function validate_microservices() { "{\"text\":\"test\",\"embedding\":${your_embedding}}" echo "Wait for tgi-llava-gaudi-server service to be ready" - check_service_ready "tgi-llava-gaudi-server" 10 "Connected" + check_service_ready "tgi-llava-gaudi-server" 20 "Connected" # llava server echo "Evaluating LLAVA tgi-gaudi" From 7e3eca2e278789e044a70828f2bc1712791ffb21 Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Wed, 15 Jan 2025 16:19:05 -0800 Subject: [PATCH 21/26] Fixes some issues for image queries (#48) Signed-off-by: Melanie Buehler --- MultimodalQnA/ui/gradio/conversation.py | 8 ++++---- MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py | 9 ++++----- 2 files changed, 8 insertions(+), 9 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index 39b60bbade..34e7e17224 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -48,8 +48,8 @@ def get_prompt(self): # Need to do RAG. If the query is text, prompt is the query only if self.audio_query_file: ret = [{"role": "user", "content": [{"type": "audio", "audio": self.get_b64_audio_query()}]}] - elif len(messages) in self.image_query_files: - b64_image = get_b64_frame_from_timestamp(self.image_query_files[len(messages)], 0) + elif 0 in self.image_query_files: + b64_image = get_b64_frame_from_timestamp(self.image_query_files[0], 0) ret = [ { "role": "user", @@ -86,12 +86,12 @@ def get_prompt(self): content[0]["text"] = content[0]["text"] + " " + self._template_caption() content.append({"type": "image_url", "image_url": {"url": base64_frame}}) # There might be a query image - if i + 2 in self.image_query_files: + if i in self.image_query_files: content.append( { "type": "image_url", "image_url": { - "url": get_b64_frame_from_timestamp(self.image_query_files[i + 2], 0) + "url": get_b64_frame_from_timestamp(self.image_query_files[i], 0) }, } ) diff --git a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py index 1ef5c63f85..6b94e54be9 100644 --- a/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py +++ b/MultimodalQnA/ui/gradio/multimodalqna_ui_gradio.py @@ -14,7 +14,7 @@ from fastapi import FastAPI from fastapi.staticfiles import StaticFiles from gradio_pdf import PDF -from utils import build_logger, make_temp_image, moderation_msg, server_error_msg, split_video +from utils import build_logger, make_temp_image, server_error_msg, split_video logger = build_logger("gradio_web_server", "gradio_web_server.log") logflag = os.getenv("LOGFLAG", False) @@ -57,7 +57,7 @@ def clear_history(state, request: gr.Request): video = gr.Video(height=512, width=512, elem_id="video", visible=True, label="Media") image = gr.Image(height=512, width=512, elem_id="image", visible=False, label="Media") pdf = PDF(height=512, elem_id="pdf", interactive=False, visible=False, label="Media") - return (state, state.to_gradio_chatbot(), None, None, video, image, pdf) + (disable_btn,) * 1 + return (state, state.to_gradio_chatbot(), {"text": "", "files": []}, None, video, image, pdf) + (disable_btn,) * 1 def add_text(state, textbox, audio, request: gr.Request): @@ -98,8 +98,7 @@ def http_bot(state, request: gr.Request): is_audio_query = state.audio_query_file is not None if state.skip_next: # This generate call is skipped due to invalid inputs - path_to_sub_videos = state.get_path_to_subvideos() - yield (state, state.to_gradio_chatbot(), path_to_sub_videos, None, None) + (no_change_btn,) * 1 + yield (state, state.to_gradio_chatbot(), None, None, None) + (no_change_btn,) * 1 return if len(state.messages) == state.offset + 2: @@ -542,7 +541,7 @@ def select_upload_type(choice, request: gr.Request): with gr.Row(): with gr.Column(scale=8): with gr.Tabs(): - with gr.TabItem("Text Query"): + with gr.TabItem("Text & Image Query"): textbox = gr.MultimodalTextbox( show_label=False, container=True, submit_btn=False, file_types=["image"] ) From 888cb7120cb148b6dad4772bb7f36507377892a6 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Thu, 16 Jan 2025 00:19:29 +0000 Subject: [PATCH 22/26] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- MultimodalQnA/ui/gradio/conversation.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/MultimodalQnA/ui/gradio/conversation.py b/MultimodalQnA/ui/gradio/conversation.py index 34e7e17224..678f7872c2 100644 --- a/MultimodalQnA/ui/gradio/conversation.py +++ b/MultimodalQnA/ui/gradio/conversation.py @@ -90,9 +90,7 @@ def get_prompt(self): content.append( { "type": "image_url", - "image_url": { - "url": get_b64_frame_from_timestamp(self.image_query_files[i], 0) - }, + "image_url": {"url": get_b64_frame_from_timestamp(self.image_query_files[i], 0)}, } ) dic["content"] = content From 0f0bcb55b494734b0e8e4e5ab706cc3d16e495c6 Mon Sep 17 00:00:00 2001 From: Omar Khleif Date: Thu, 16 Jan 2025 14:52:31 -0800 Subject: [PATCH 23/26] MMQnA Doc Updates for Latest Release (#43) * removed asr, added assets Signed-off-by: okhleif-IL * removed ASR from build and tests Signed-off-by: okhleif-IL * uploaded new ui screenshots Signed-off-by: okhleif-IL * added image descriptions Signed-off-by: okhleif-IL * resized / cropped whitespace Signed-off-by: okhleif-IL * removed unneeded vars Signed-off-by: okhleif-IL --------- Signed-off-by: okhleif-IL --- MultimodalQnA/README.md | 27 ++++++++++++++++-- MultimodalQnA/assets/img/audio-ingestion.png | Bin 0 -> 41794 bytes MultimodalQnA/assets/img/audio-query.png | Bin 0 -> 64656 bytes MultimodalQnA/assets/img/image-ingestion.png | Bin 0 -> 952989 bytes MultimodalQnA/assets/img/image-query.png | Bin 0 -> 224412 bytes MultimodalQnA/assets/img/ingest_pdf.png | Bin 0 -> 127161 bytes MultimodalQnA/assets/img/mmqna-ui.png | Bin 0 -> 25414 bytes MultimodalQnA/assets/img/pdf-query.png | Bin 0 -> 101100 bytes MultimodalQnA/assets/img/video-ingestion.png | Bin 0 -> 609314 bytes MultimodalQnA/assets/img/video-query.png | Bin 0 -> 141249 bytes .../docker_compose/intel/cpu/xeon/README.md | 16 +++++------ .../intel/cpu/xeon/compose.yaml | 15 ---------- .../docker_compose/intel/cpu/xeon/set_env.sh | 4 --- .../docker_compose/intel/hpu/gaudi/README.md | 12 +++----- .../intel/hpu/gaudi/compose.yaml | 15 ---------- .../docker_compose/intel/hpu/gaudi/set_env.sh | 6 +--- MultimodalQnA/docker_image_build/build.yaml | 6 ---- MultimodalQnA/tests/test_compose_on_gaudi.sh | 4 --- MultimodalQnA/tests/test_compose_on_xeon.sh | 4 --- 19 files changed, 37 insertions(+), 72 deletions(-) create mode 100644 MultimodalQnA/assets/img/audio-ingestion.png create mode 100644 MultimodalQnA/assets/img/audio-query.png create mode 100644 MultimodalQnA/assets/img/image-ingestion.png create mode 100644 MultimodalQnA/assets/img/image-query.png create mode 100644 MultimodalQnA/assets/img/ingest_pdf.png create mode 100644 MultimodalQnA/assets/img/mmqna-ui.png create mode 100644 MultimodalQnA/assets/img/pdf-query.png create mode 100644 MultimodalQnA/assets/img/video-ingestion.png create mode 100644 MultimodalQnA/assets/img/video-query.png diff --git a/MultimodalQnA/README.md b/MultimodalQnA/README.md index 5aa40a1e64..bdff57faf6 100644 --- a/MultimodalQnA/README.md +++ b/MultimodalQnA/README.md @@ -172,8 +172,29 @@ docker compose -f compose.yaml up -d ## MultimodalQnA Demo on Gaudi2 -![MultimodalQnA-upload-waiting-screenshot](./assets/img/upload-gen-trans.png) +### Multimodal QnA UI +![MultimodalQnA-ui-screenshot](./assets/img/mmqna-ui.png) -![MultimodalQnA-upload-done-screenshot](./assets/img/upload-gen-captions.png) +### Video Ingestion +![MultimodalQnA-ingest-video-screenshot](./assets/img/video-ingestion.png) -![MultimodalQnA-query-example-screenshot](./assets/img/example_query.png) +### Text Query following the ingestion of a Video +![MultimodalQnA-video-query-screenshot](./assets/img/video-query.png) + +### Image Ingestion +![MultimodalQnA-ingest-image-screenshot](./assets/img/image-ingestion.png) + +### Text Query following the ingestion of an image +![MultimodalQnA-video-query-screenshot](./assets/img/image-query.png) + +### Audio Ingestion +![MultimodalQnA-audio-ingestion-screenshot](./assets/img/audio-ingestion.png) + +### Text Query following the ingestion of an Audio Podcast +![MultimodalQnA-audio-query-screenshot](./assets/img/audio-query.png) + +### PDF Ingestion +![MultimodalQnA-upload-pdf-screenshot](./assets/img/ingest_pdf.png) + +### Text query following the ingestion of a PDF +![MultimodalQnA-pdf-query-example-screenshot](./assets/img/pdf-query.png) \ No newline at end of file diff --git a/MultimodalQnA/assets/img/audio-ingestion.png b/MultimodalQnA/assets/img/audio-ingestion.png new file mode 100644 index 0000000000000000000000000000000000000000..56ad7ca276f97144cdd774cdd1209d46a6e328df GIT binary 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z^_aTsY*a*zLEgx@kwQ47PxDU$!6JVeAR;2lEoD&2N0b~j@0f_#aB}!-Ualg=jJ@A= z%7@J^I#Co;i}~)RC{WieCfM$~|MT)q)W#wCgz32eWr!&1z=$cNV({tI3j*}~fQu}r4xed4 zDVXOR-jp1vv4!KAd24{EO28k-3oV-R_rjwG&lOKk&#J<{*n`_uQ=i|dSLuQ$jo&X9 z(#g0bVHvo)g9VSq?|BZNjO_gBXyPWEDB^n#%D2i({;r=GT~zdGaQI-i9*tHwHtsz; zdsW<2EQk9ik(9AY5NM{_xYX`w>#`F8^AS5A?^cD)i&7^EzaM=Y%JI83*DcxODpehQ z{pQNb$AX+aVJH**NBd&~dalt3ET3bks5!&x6T!_=Rqqm&$NxCn3HDRZ|DRorblTIg zy;yAOhN~e_j1F6l95y{}^XmSxvlkC@&fzNFbF57R?AjJpRn=9sze|?4Mx>vcYMK7A zWdpD=C9Hpa&X+GH*O|hLWr}S;3J+`qHd+?}o2s|^mm9ZbzcB=L0gC(1?CdfRl-&Gv z&1R#whFrkGsWZu6tjk1>znQU?_wD`om0ewX&&nO%YA38Sdm-}*a0^u6{36pdZGp_d z&i6mVnHVmLO;fZVfra!qjt@OJUL(Q?+}C-Pd1F4qsLF;=;Lg zQNSFv`L9NArFrh=dtYY11^e3}r!$LFLNtOwsWY1gEMhTNNp9P<^=WIXd8ToNGvsBx zxpk-%G~B|#;1Yf0aM*l($HoJW%S$ap5_y2q2G=LGIj-LMY(_ReSdD{;tIfxp%W9!d zpNhJ(tZS>hV{T}8vCce^GcSO@|J4FJK0Us?ATON_FlXGv8MWB*J)3|htd|Jv3V;+t0D Date: Thu, 16 Jan 2025 22:53:21 +0000 Subject: [PATCH 24/26] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- MultimodalQnA/README.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/MultimodalQnA/README.md b/MultimodalQnA/README.md index bdff57faf6..8e46be1c8a 100644 --- a/MultimodalQnA/README.md +++ b/MultimodalQnA/README.md @@ -173,28 +173,37 @@ docker compose -f compose.yaml up -d ## MultimodalQnA Demo on Gaudi2 ### Multimodal QnA UI + ![MultimodalQnA-ui-screenshot](./assets/img/mmqna-ui.png) ### Video Ingestion + ![MultimodalQnA-ingest-video-screenshot](./assets/img/video-ingestion.png) ### Text Query following the ingestion of a Video + ![MultimodalQnA-video-query-screenshot](./assets/img/video-query.png) ### Image Ingestion + ![MultimodalQnA-ingest-image-screenshot](./assets/img/image-ingestion.png) ### Text Query following the ingestion of an image + ![MultimodalQnA-video-query-screenshot](./assets/img/image-query.png) ### Audio Ingestion + ![MultimodalQnA-audio-ingestion-screenshot](./assets/img/audio-ingestion.png) ### Text Query following the ingestion of an Audio Podcast + ![MultimodalQnA-audio-query-screenshot](./assets/img/audio-query.png) ### PDF Ingestion + ![MultimodalQnA-upload-pdf-screenshot](./assets/img/ingest_pdf.png) ### Text query following the ingestion of a PDF -![MultimodalQnA-pdf-query-example-screenshot](./assets/img/pdf-query.png) \ No newline at end of file + +![MultimodalQnA-pdf-query-example-screenshot](./assets/img/pdf-query.png) From 512a3f4a94c41553d672fa99913f49cd37337453 Mon Sep 17 00:00:00 2001 From: Dina Suehiro Jones Date: Thu, 16 Jan 2025 15:10:46 -0800 Subject: [PATCH 25/26] Update compose.yaml to use fixed internal port for the whisper server (#42) Signed-off-by: dmsuehir --- MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml index f91fd0e899..283251946c 100644 --- a/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml +++ b/MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml @@ -6,13 +6,12 @@ services: image: ${REGISTRY:-opea}/whisper:${TAG:-latest} container_name: whisper-service ports: - - "${WHISPER_PORT}:${WHISPER_PORT}" + - "${WHISPER_PORT}:7066" ipc: host environment: no_proxy: ${no_proxy} http_proxy: ${http_proxy} https_proxy: ${https_proxy} - WHISPER_PORT: ${WHISPER_PORT} restart: unless-stopped redis-vector-db: image: redis/redis-stack:7.2.0-v9 From 7fb22f3424488ed4e21366673fe15d88d8b290ff Mon Sep 17 00:00:00 2001 From: Melanie Hart Buehler Date: Thu, 16 Jan 2025 15:57:59 -0800 Subject: [PATCH 26/26] Change git clone in rocm test script to dev branch (#49) Signed-off-by: Melanie Buehler --- MultimodalQnA/tests/test_compose_on_rocm.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/MultimodalQnA/tests/test_compose_on_rocm.sh b/MultimodalQnA/tests/test_compose_on_rocm.sh index 65fe94390d..42e24b877c 100644 --- a/MultimodalQnA/tests/test_compose_on_rocm.sh +++ b/MultimodalQnA/tests/test_compose_on_rocm.sh @@ -20,8 +20,8 @@ export caption_fn="apple.txt" function build_docker_images() { cd $WORKPATH/docker_image_build - git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ - + #git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../ + git clone https://github.com/mhbuehler/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"mmqna-image-query"}" && cd ../ echo "Build all the images with --no-cache, check docker_image_build.log for details..." service_list="multimodalqna multimodalqna-ui embedding-multimodal-bridgetower embedding retriever lvm dataprep-multimodal-redis whisper" docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log