use conditional imports and show help errors if modules not found

examples/starter-apps/patient-intake.py

@@ -19,12 +19,12 @@
 # from dailyai.services.deepgram_ai_services import DeepgramTTSService
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 from dailyai.pipeline.frames import (
-    OpenAILLMContextFrame,
     Frame,
     LLMFunctionCallFrame,
     LLMFunctionStartFrame,
     AudioFrame,
 )
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.ai_services import FrameLogger, AIService
 from openai._types import NotGiven, NOT_GIVEN
 

src/dailyai/pipeline/frames.py

@@ -1,9 +1,6 @@
 from dataclasses import dataclass
 from typing import Any, List
 
-from dailyai.services.openai_llm_context import OpenAILLMContext
-import dailyai.pipeline.protobufs.frames_pb2 as frame_protos
-
 
 class Frame:
     def __str__(self):
@@ -135,14 +132,6 @@ class LLMMessagesFrame(Frame):
     messages: List[dict]
 
 
-@dataclass()
-class OpenAILLMContextFrame(Frame):
-    """Like an LLMMessagesFrame, but with extra context specific to the
-    OpenAI API. The context in this message is also mutable, and will be
-    changed by the OpenAIContextAggregator frame processor."""
-    context: OpenAILLMContext
-
-
 @dataclass()
 class ReceivedAppMessageFrame(Frame):
     message: Any

src/dailyai/pipeline/opeanai_llm_aggregator.py

@@ -4,15 +4,21 @@
     Frame,
     LLMResponseEndFrame,
     LLMResponseStartFrame,
-    OpenAILLMContextFrame,
     TextFrame,
     TranscriptionFrame,
     UserStartedSpeakingFrame,
     UserStoppedSpeakingFrame,
 )
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.openai_llm_context import OpenAILLMContext
 
-from openai.types.chat import ChatCompletionRole
+try:
+    from openai.types.chat import ChatCompletionRole
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use OpenAI, you need to `pip install dailyai[openai]`. Also, set `OPENAI_API_KEY` environment variable.")
+    raise Exception(f"Missing module: {e}")
 
 
 class OpenAIContextAggregator(FrameProcessor):

src/dailyai/pipeline/openai_frames.py

@@ -0,0 +1,12 @@
+from dataclasses import dataclass
+
+from dailyai.pipeline.frames import Frame
+from dailyai.services.openai_llm_context import OpenAILLMContext
+
+
+@dataclass()
+class OpenAILLMContextFrame(Frame):
+    """Like an LLMMessagesFrame, but with extra context specific to the
+    OpenAI API. The context in this message is also mutable, and will be
+    changed by the OpenAIContextAggregator frame processor."""
+    context: OpenAILLMContext

src/dailyai/services/anthropic_llm_service.py

@@ -1,9 +1,16 @@
 from typing import AsyncGenerator
-from anthropic import AsyncAnthropic
 from dailyai.pipeline.frames import Frame, LLMMessagesFrame, TextFrame
 
 from dailyai.services.ai_services import LLMService
 
+try:
+    from anthropic import AsyncAnthropic
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use Anthropic, you need to `pip install dailyai[anthropic]`. Also, set `ANTHROPIC_API_KEY` environment variable.")
+    raise Exception(f"Missing module: {e}")
+
 
 class AnthropicLLMService(LLMService):
 

src/dailyai/services/azure_ai_services.py

@@ -9,12 +9,18 @@
 from PIL import Image
 
 # See .env.example for Azure configuration needed
-from azure.cognitiveservices.speech import (
-    SpeechSynthesizer,
-    SpeechConfig,
-    ResultReason,
-    CancellationReason,
-)
+try:
+    from azure.cognitiveservices.speech import (
+        SpeechSynthesizer,
+        SpeechConfig,
+        ResultReason,
+        CancellationReason,
+    )
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use Azure TTS, you need to `pip install dailyai[azure]`. Also, set `SPEECH_KEY` and `SPEECH_REGION` environment variables.")
+    raise Exception(f"Missing module: {e}")
 
 from dailyai.services.openai_api_llm_service import BaseOpenAILLMService
 

src/dailyai/services/fal_ai_services.py

@@ -1,4 +1,3 @@
-import fal
 import aiohttp
 import asyncio
 import io
@@ -10,7 +9,13 @@
 
 from dailyai.services.ai_services import ImageGenService
 
-# Fal expects FAL_KEY_ID and FAL_KEY_SECRET to be set in the env
+try:
+    import fal
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use Fal, you need to `pip install dailyai[fal]`. Also, set `FAL_KEY_ID` and `FAL_KEY_SECRET` environment variables.")
+    raise Exception(f"Missing module: {e}")
 
 
 class FalImageGenService(ImageGenService):

src/dailyai/services/open_ai_services.py

@@ -1,12 +1,20 @@
 import aiohttp
 from PIL import Image
 import io
-from openai import AsyncOpenAI
 
 from dailyai.services.ai_services import ImageGenService
 from dailyai.services.openai_api_llm_service import BaseOpenAILLMService
 
 
+try:
+    from openai import AsyncOpenAI
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use OpenAI, you need to `pip install dailyai[openai]`. Also, set `OPENAI_API_KEY` environment variable.")
+    raise Exception(f"Missing module: {e}")
+
+
 class OpenAILLMService(BaseOpenAILLMService):
 
     def __init__(self, model="gpt-4", * args, **kwargs):

src/dailyai/services/openai_api_llm_service.py

@@ -1,25 +1,32 @@
 import json
 import time
 from typing import AsyncGenerator, List
-from openai import AsyncOpenAI, AsyncStream
 from dailyai.pipeline.frames import (
     Frame,
     LLMFunctionCallFrame,
     LLMFunctionStartFrame,
     LLMMessagesFrame,
     LLMResponseEndFrame,
     LLMResponseStartFrame,
-    OpenAILLMContextFrame,
     TextFrame,
 )
 from dailyai.services.ai_services import LLMService
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.openai_llm_context import OpenAILLMContext
 
-from openai.types.chat import (
-    ChatCompletion,
-    ChatCompletionChunk,
-    ChatCompletionMessageParam,
-)
+try:
+    from openai import AsyncOpenAI, AsyncStream
+
+    from openai.types.chat import (
+        ChatCompletion,
+        ChatCompletionChunk,
+        ChatCompletionMessageParam,
+    )
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use OpenAI, you need to `pip install dailyai[openai]`. Also, set `OPENAI_API_KEY` environment variable.")
+    raise Exception(f"Missing module: {e}")
 
 
 class BaseOpenAILLMService(LLMService):

src/dailyai/services/openai_llm_context.py

@@ -1,11 +1,18 @@
 from typing import List
-from openai._types import NOT_GIVEN, NotGiven
 
-from openai.types.chat import (
-    ChatCompletionToolParam,
-    ChatCompletionToolChoiceOptionParam,
-    ChatCompletionMessageParam,
-)
+try:
+    from openai._types import NOT_GIVEN, NotGiven
+
+    from openai.types.chat import (
+        ChatCompletionToolParam,
+        ChatCompletionToolChoiceOptionParam,
+        ChatCompletionMessageParam,
+    )
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use OpenAI, you need to `pip install dailyai[openai]`. Also, set `OPENAI_API_KEY` environment variable.")
+    raise Exception(f"Missing module: {e}")
 
 
 class OpenAILLMContext:

src/dailyai/services/playht_ai_service.py

@@ -1,11 +1,18 @@
 import io
 import struct
-from pyht import Client
-from pyht.client import TTSOptions
-from pyht.protos.api_pb2 import Format
 
 from dailyai.services.ai_services import TTSService
 
+try:
+    from pyht import Client
+    from pyht.client import TTSOptions
+    from pyht.protos.api_pb2 import Format
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use PlayHT, you need to `pip install dailyai[playht]`. Also, set `PLAY_HT_USER_ID` and `PLAY_HT_API_KEY` environment variables.")
+    raise Exception(f"Missing module: {e}")
+
 
 class PlayHTAIService(TTSService):
 

src/dailyai/services/whisper_ai_services.py

@@ -3,10 +3,18 @@
 from enum import Enum
 import logging
 from typing import BinaryIO
-from faster_whisper import WhisperModel
 from dailyai.services.local_stt_service import LocalSTTService
 
 
+try:
+    from faster_whisper import WhisperModel
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use Whisper, you need to `pip install dailyai[whisper]`.")
+    raise Exception(f"Missing module: {e}")
+
+
 class Model(Enum):
     """Class of basic Whisper model selection options"""
     TINY = "tiny"

src/dailyai/transports/daily_transport.py

@@ -15,14 +15,21 @@
 
 from threading import Event
 
-from daily import (
-    EventHandler,
-    CallClient,
-    Daily,
-    VirtualCameraDevice,
-    VirtualMicrophoneDevice,
-    VirtualSpeakerDevice,
-)
+try:
+    from daily import (
+        EventHandler,
+        CallClient,
+        Daily,
+        VirtualCameraDevice,
+        VirtualMicrophoneDevice,
+        VirtualSpeakerDevice,
+    )
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use the Daily transport, you need to `pip install dailyai[daily]`.")
+    raise Exception(f"Missing module: {e}")
+
 
 from dailyai.transports.threaded_transport import ThreadedTransport
 

src/dailyai/transports/local_transport.py

@@ -4,17 +4,18 @@
 
 from dailyai.transports.threaded_transport import ThreadedTransport
 
+try:
+    import pyaudio
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use the local transport, you need to `pip install dailyai[local]`. On MacOS, you also need to `brew install portaudio`.")
+    raise Exception(f"Missing module: {e}")
+
 
 class LocalTransport(ThreadedTransport):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
-        try:
-            global pyaudio
-            import pyaudio
-        except ModuleNotFoundError as e:
-            print(f"Exception: {e}")
-            print("In order to use the local transport, you'll need to `pip install pyaudio`. On MacOS, you'll also need to `brew install portaudio`.")
-            raise Exception(f"Missing module: {e}")
         self._sample_width = kwargs.get("sample_width") or 2
         self._n_channels = kwargs.get("n_channels") or 1
         self._tk_root = kwargs.get("tk_root") or None

src/dailyai/transports/threaded_transport.py

@@ -1,7 +1,6 @@
 from abc import abstractmethod
 import asyncio
 import itertools
-import logging
 import numpy as np
 
 import queue

src/dailyai/transports/websocket_transport.py

@@ -1,7 +1,6 @@
 import asyncio
 import time
 from typing import AsyncGenerator, List
-import websockets
 
 from dailyai.pipeline.frame_processor import FrameProcessor
 from dailyai.pipeline.frames import AudioFrame, ControlFrame, EndFrame, Frame, TTSEndFrame, TTSStartFrame, TextFrame
@@ -10,6 +9,14 @@
 from dailyai.transports.abstract_transport import AbstractTransport
 from dailyai.transports.threaded_transport import ThreadedTransport
 
+try:
+    import websockets
+except ModuleNotFoundError as e:
+    print(f"Exception: {e}")
+    print(
+        "In order to use the websocket transport, you need to `pip install dailyai[websocket]`.")
+    raise Exception(f"Missing module: {e}")
+
 
 class WebSocketFrameProcessor(FrameProcessor):
     """This FrameProcessor filters and mutates frames before they're sent over the websocket.

tests/integration/integration_azure_llm.py

@@ -1,8 +1,6 @@
 import asyncio
 import os
-from dailyai.pipeline.frames import (
-    OpenAILLMContextFrame,
-)
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.azure_ai_services import AzureLLMService
 from dailyai.services.openai_llm_context import OpenAILLMContext
 

tests/integration/integration_ollama_llm.py

@@ -1,7 +1,5 @@
 import asyncio
-from dailyai.pipeline.frames import (
-    OpenAILLMContextFrame,
-)
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.openai_llm_context import OpenAILLMContext
 
 from openai.types.chat import (

tests/integration/integration_openai_llm.py

@@ -1,8 +1,6 @@
 import asyncio
 import os
-from dailyai.pipeline.frames import (
-    OpenAILLMContextFrame,
-)
+from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
 from dailyai.services.openai_llm_context import OpenAILLMContext
 
 from openai.types.chat import (