86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
import asyncio
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import aiohttp
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import logging
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import os
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from typing import AsyncGenerator
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from dailyai.pipeline.aggregators import FrameProcessor, UserResponseAggregator, VisionImageFrameAggregator
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from dailyai.pipeline.frames import Frame, TextFrame, UserImageRequestFrame
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from dailyai.pipeline.pipeline import Pipeline
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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from dailyai.services.moondream_ai_service import MoondreamService
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from dailyai.transports.daily_transport import DailyTransport
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from runner import configure
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
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logger = logging.getLogger("dailyai")
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logger.setLevel(logging.DEBUG)
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class UserImageRequester(FrameProcessor):
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participant_id: str
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def set_participant_id(self, participant_id: str):
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self.participant_id = participant_id
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async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
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if self.participant_id and isinstance(frame, TextFrame):
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yield UserImageRequestFrame(self.participant_id)
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yield frame
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async def main(room_url: str, token):
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async with aiohttp.ClientSession() as session:
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transport = DailyTransport(
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room_url,
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token,
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"Describe participant video",
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duration_minutes=5,
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mic_enabled=True,
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mic_sample_rate=16000,
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vad_enabled=True,
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start_transcription=True,
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video_rendering_enabled=True
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)
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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user_response = UserResponseAggregator()
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image_requester = UserImageRequester()
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vision_aggregator = VisionImageFrameAggregator()
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# If you run into weird description, try with use_cpu=True
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moondream = MoondreamService()
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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@transport.event_handler("on_first_other_participant_joined")
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async def on_first_other_participant_joined(transport, participant):
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await transport.say("Hi there! Feel free to ask me what I see.", tts)
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transport.render_participant_video(participant["id"], framerate=0)
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image_requester.set_participant_id(participant["id"])
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pipeline = Pipeline([user_response, image_requester, vision_aggregator, moondream, tts])
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await transport.run(pipeline)
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if __name__ == "__main__":
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(url, token) = configure()
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asyncio.run(main(url, token))
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