# # Copyright (c) 2024–2025, Daily # # SPDX-License-Identifier: BSD 2-Clause License # import argparse from dotenv import load_dotenv from loguru import logger from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineTask from pipecat.processors.gstreamer.pipeline_source import GStreamerPipelineSource from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.services.daily import DailyParams load_dotenv(override=True) # We store functions so objects (e.g. SileroVADAnalyzer) don't get # instantiated. The function will be called when the desired transport gets # selected. transport_params = { "daily": lambda: DailyParams( audio_out_enabled=True, video_out_enabled=True, video_out_is_live=True, video_out_width=1280, video_out_height=720, ), "webrtc": lambda: TransportParams( audio_out_enabled=True, video_out_enabled=True, video_out_is_live=True, video_out_width=1280, video_out_height=720, ), } async def run_example(transport: BaseTransport, args: argparse.Namespace, handle_sigint: bool): logger.info(f"Starting bot with video input: {args.input}") gst = GStreamerPipelineSource( pipeline=f"filesrc location={args.input}", out_params=GStreamerPipelineSource.OutputParams( video_width=1280, video_height=720, ), ) pipeline = Pipeline( [ gst, # GStreamer file source transport.output(), # Transport bot output ] ) task = PipelineTask(pipeline) runner = PipelineRunner(handle_sigint=handle_sigint) await runner.run(task) if __name__ == "__main__": from pipecat.examples.run import main parser = argparse.ArgumentParser(description="Pipecat Bot Runner") parser.add_argument("-i", "--input", type=str, required=True, help="Input video file") main(run_example, parser=parser, transport_params=transport_params)