126 lines
3.9 KiB
Python
126 lines
3.9 KiB
Python
#
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# Copyright (c) 2024–2025, 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 argparse
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import os
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from typing import Optional
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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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.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.moondream.vision import MoondreamService
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from pipecat.transports.base_transport import TransportParams
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from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
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from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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load_dotenv(override=True)
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class UserImageRequester(FrameProcessor):
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def __init__(self, participant_id: Optional[str] = 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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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if self._participant_id and isinstance(frame, TextFrame):
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await self.push_frame(
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UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM
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)
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await self.push_frame(frame, direction)
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async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
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# Get WebRTC peer connection ID
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webrtc_peer_id = webrtc_connection.pc_id
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logger.info(f"Starting bot with peer_id: {webrtc_peer_id}")
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transport = SmallWebRTCTransport(
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webrtc_connection=webrtc_connection,
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params=TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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video_in_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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user_response = UserResponseAggregator()
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# Initialize the image requester without setting the participant ID yet
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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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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
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)
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pipeline = Pipeline(
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[
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transport.input(),
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stt,
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user_response,
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image_requester,
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vision_aggregator,
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moondream,
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tts,
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transport.output(),
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]
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)
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task = PipelineTask(pipeline)
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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logger.info(f"Client connected: {client}")
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# Welcome message
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await tts.say("Hi there! Feel free to ask me what I see.")
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# Set the participant ID in the image requester
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image_requester.set_participant_id(webrtc_peer_id)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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@transport.event_handler("on_client_closed")
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async def on_client_closed(transport, client):
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logger.info(f"Client closed connection")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=False)
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await runner.run(task)
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if __name__ == "__main__":
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from run import main
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main()
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