feat: update embeddings tuning notebook (GoogleCloudPlatform#1096)

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---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

embeddings/intro_embeddings_tuning.ipynb

@@ -156,8 +156,8 @@
       },
       "outputs": [],
       "source": [
-        "! pip3 install --upgrade --user google-cloud-aiplatform==1.48.0 google-cloud-documentai==2.26.0 google-cloud-documentai-toolbox==0.13.3a0\n",
-        "! pip3 install --upgrade --user langchain==0.1.16 langchain-core==0.1.44 langchain-text-splitters==0.0.1 langchain-google-community==1.0.2 gcsfs==2024.3.1 etils==1.7.0"
+        "! pip3 install --upgrade --user google-cloud-aiplatform google-cloud-documentai google-cloud-documentai-toolbox --quiet\n",
+        "! pip3 install --upgrade --user langchain langchain-core langchain-text-splitters langchain-google-community gcsfs etils --quiet"
       ]
     },
     {
@@ -402,10 +402,9 @@
         "from google.api_core.client_options import ClientOptions\n",
         "from google.cloud import aiplatform, documentai\n",
         "from google.protobuf.json_format import MessageToDict\n",
-        "from langchain_community.document_loaders.blob_loaders import Blob\n",
-        "from langchain_community.document_loaders.parsers import DocAIParser\n",
         "import langchain_core\n",
         "from langchain_core.documents.base import Document\n",
+        "from langchain_google_community.docai import Blob, DocAIParser\n",
         "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
         "import numpy as np\n",
         "import pandas as pd\n",
@@ -517,11 +516,11 @@
         "    }\n",
         "\n",
         "    prompt_template = \"\"\"\n",
-        "    You are an examinator. Your task is to create one QUESTION for an exam using <DOCUMENT> only.\n",
+        "    You are an examinator. Your task is to create one QUESTION for an exam using  only.\n",
         "\n",
-        "    <DOCUMENT>\n",
+        "    \n",
         "    {chunk}\n",
-        "    <DOCUMENT/>\n",
+        "    \n",
         "\n",
         "    QUESTION:\n",
         "    \"\"\"\n",
@@ -568,7 +567,7 @@
         "    \"\"\"Get uploaded model from the pipeline job\"\"\"\n",
         "    evaluation_task = get_task_by_name(job, task_name)\n",
         "    upload_metadata = MessageToDict(evaluation_task.execution._pb)[\"metadata\"]\n",
-        "    return vertexai.Model(upload_metadata[\"output:model_resource_name\"])\n",
+        "    return aiplatform.Model(upload_metadata[\"output:model_resource_name\"])\n",
         "\n",
         "\n",
         "def get_training_output_dir(\n",
@@ -724,7 +723,7 @@
       },
       "outputs": [],
       "source": [
-        "blob = Blob(\n",
+        "blob = Blob.from_path(\n",
         "    path=f\"{RAW_DATA_URI}/goog-10-k-2023.pdf\",\n",
         ")\n",
         "\n",
@@ -1382,28 +1381,33 @@
       },
       "outputs": [],
       "source": [
-        "import os\n",
+        "import shutil\n",
         "\n",
         "delete_endpoint = False\n",
         "delete_model = False\n",
         "delete_job = False\n",
         "delete_bucket = False\n",
+        "delete_tutorial = False\n",
         "\n",
         "# Delete endpoint resource\n",
-        "if delete_endpoint or os.getenv(\"IS_TESTING\"):\n",
-        "    endpoint.delete()\n",
+        "if delete_endpoint:\n",
+        "    endpoint.delete(force=True)\n",
         "\n",
         "# Delete model resource\n",
-        "if delete_model or os.getenv(\"IS_TESTING\"):\n",
+        "if delete_model:\n",
         "    model.delete()\n",
         "\n",
         "# Delete pipeline job\n",
-        "if delete_job or os.getenv(\"IS_TESTING\"):\n",
+        "if delete_job:\n",
         "    job.delete()\n",
         "\n",
         "# Delete Cloud Storage objects that were created\n",
-        "if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
-        "    ! gsutil -m rm -r $BUCKET_URI"
+        "if delete_bucket:\n",
+        "    ! gsutil -m rm -r $BUCKET_URI\n",
+        "\n",
+        "# Delete tutorial folder\n",
+        "if delete_tutorial:\n",
+        "    shutil.rmtree(str(tutorial_path))"
       ]
     }
   ],