121 lines
3.6 KiB
Python
121 lines
3.6 KiB
Python
#
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# Copyright (c) 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 os
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import sys
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.frames.frames import (
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InputAudioRawFrame,
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InputImageRawFrame,
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OutputAudioRawFrame,
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OutputImageRawFrame,
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)
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from pipecat.pipeline.parallel_pipeline import ParallelPipeline
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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 Frame, FrameDirection, FrameProcessor
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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.services.daily import DailyParams, DailyTransport
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load_dotenv(override=True)
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class MirrorProcessor(FrameProcessor):
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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):
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await self.push_frame(
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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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)
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elif isinstance(frame, InputImageRawFrame):
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await self.push_frame(
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OutputImageRawFrame(image=frame.image, size=frame.size, format=frame.format)
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)
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else:
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await self.push_frame(frame, direction)
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async def run_bot(webrtc_connection):
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pipecat_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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video_out_enabled=True,
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video_out_is_live=True,
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video_out_width=1280,
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video_out_height=720,
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),
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)
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room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", "")
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daily_transport = DailyTransport(
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room_url,
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None,
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"SmallWebRTC",
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params=DailyParams(
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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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video_out_enabled=True,
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video_out_is_live=True,
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video_out_width=1280,
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video_out_height=720,
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),
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)
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pipeline = Pipeline(
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[
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ParallelPipeline(
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[
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daily_transport.input(),
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MirrorProcessor(),
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pipecat_transport.output(),
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],
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[
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pipecat_transport.input(),
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MirrorProcessor(),
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daily_transport.output(),
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],
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)
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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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enable_metrics=True,
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enable_usage_metrics=True,
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),
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)
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@daily_transport.event_handler("on_participant_joined")
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async def on_participant_joined(transport, participant):
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await transport.capture_participant_video(participant["id"])
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@pipecat_transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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logger.info("Pipecat Client connected")
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@pipecat_transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info("Pipecat Client disconnected")
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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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