75 lines
2.0 KiB
Python
75 lines
2.0 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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from dotenv import load_dotenv
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from loguru import logger
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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.gstreamer.pipeline_source import GStreamerPipelineSource
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.services.daily import DailyParams
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load_dotenv(override=True)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_out_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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"webrtc": lambda: TransportParams(
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audio_out_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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async def run_example(transport: BaseTransport, args: argparse.Namespace, handle_sigint: bool):
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logger.info(f"Starting bot with video input: {args.input}")
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gst = GStreamerPipelineSource(
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pipeline=f"filesrc location={args.input}",
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out_params=GStreamerPipelineSource.OutputParams(
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video_width=1280,
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video_height=720,
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),
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)
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pipeline = Pipeline(
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[
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gst, # GStreamer file source
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transport.output(), # Transport bot output
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]
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)
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task = PipelineTask(pipeline)
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runner = PipelineRunner(handle_sigint=handle_sigint)
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await runner.run(task)
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if __name__ == "__main__":
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from pipecat.examples.run import main
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parser = argparse.ArgumentParser(description="Pipecat Bot Runner")
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parser.add_argument("-i", "--input", type=str, required=True, help="Input video file")
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main(run_example, parser=parser, transport_params=transport_params)
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