88 lines
2.7 KiB
Python
88 lines
2.7 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 asyncio
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import sys
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import aiohttp
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from loguru import logger
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from runner import configure
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from pipecat.frames.frames import Frame, InputAudioRawFrame, OutputAudioRawFrame
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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 PipelineParams, PipelineTask
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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class CustomTrackMirrorProcessor(FrameProcessor):
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def __init__(self, transport_destination: str, **kwargs):
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super().__init__(**kwargs)
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self._transport_destination = transport_destination
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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 isinstance(frame, InputAudioRawFrame) and frame.transport_source:
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output_frame = OutputAudioRawFrame(
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audio=frame.audio,
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sample_rate=frame.sample_rate,
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num_channels=frame.num_channels,
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)
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output_frame.transport_destination = self._transport_destination
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await self.push_frame(output_frame)
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else:
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await self.push_frame(frame, direction)
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async def main():
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async with aiohttp.ClientSession() as session:
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(room_url, _) = await configure(session)
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transport = DailyTransport(
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room_url,
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None,
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"Custom tracks mirror",
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DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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microphone_out_enabled=False, # Disable since we just use custom tracks
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audio_out_destinations=["pipecat-mirror"],
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),
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)
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pipeline = Pipeline(
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[
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transport.input(), # Transport user input
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CustomTrackMirrorProcessor("pipecat-mirror"),
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transport.output(), # Transport bot output
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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audio_in_sample_rate=16000,
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audio_out_sample_rate=16000,
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),
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)
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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 transport.capture_participant_audio(participant["id"], audio_source="pipecat")
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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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asyncio.run(main())
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