63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
#
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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 sys
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from pipecat.frames.frames import AudioRawFrame, ImageRawFrame
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from pipecat.processors.filter import Filter
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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.pipeline.parallel_pipeline import ParallelPipeline
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from pipecat.transports.services.daily import DailyTransport, DailyParams
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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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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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async def main(room_url, token):
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transport = DailyTransport(
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room_url, token, "Test",
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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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camera_out_enabled=True,
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camera_out_width=1280,
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camera_out_height=720
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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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transport.capture_participant_video(participant["id"])
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# The ParallelPipeline is not really necessary here but it shows how you
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# would process audio and video concurrently in parallel pipelines.
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pipeline = Pipeline([transport.input(),
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ParallelPipeline(
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[Filter([AudioRawFrame])],
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[Filter([ImageRawFrame])]),
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transport.output()])
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runner = PipelineRunner()
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task = PipelineTask(pipeline)
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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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asyncio.run(main(url, token))
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