initial commit for new pipecat architecture
This commit is contained in:
@@ -1,38 +1,50 @@
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#
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# Copyright (c) 2024, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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import aiohttp
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import logging
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import os
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import sys
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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 pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineTask
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from pipecat.processors.aggregators.user_response import UserResponseAggregator
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from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.moondream import MoondreamService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.vad.silero import SileroVAD
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from runner import configure
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from loguru import logger
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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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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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class UserImageRequester(FrameProcessor):
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participant_id: str
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def __init__(self, participant_id: str | None = None):
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super().__init__()
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self._participant_id = participant_id
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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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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 process_frame(self, frame: Frame, direction: FrameDirection):
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if self._participant_id and isinstance(frame, TextFrame):
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await self.push_frame(UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM)
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await self.push_frame(frame, direction)
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async def main(room_url: str, token):
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@@ -41,14 +53,15 @@ async def main(room_url: str, token):
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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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DailyParams(
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audio_in_enabled=True, # This is so Silero VAD can get audio data
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audio_out_enabled=True,
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transcription_enabled=True
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)
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)
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vad = SileroVAD()
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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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@@ -70,15 +83,21 @@ async def main(room_url: str, token):
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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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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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await tts.say("Hi there! Feel free to ask me what I see.")
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transport.capture_participant_video(participant["id"], framerate=0)
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transport.capture_participant_transcription(participant["id"])
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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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pipeline = Pipeline([transport.input(), vad, user_response, image_requester,
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vision_aggregator, moondream, tts, transport.output()])
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await transport.run(pipeline)
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task = PipelineTask(pipeline)
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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(url, token) = configure()
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