# # 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 TransportParams from pipecat.transports.network.small_webrtc import SmallWebRTCTransport from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection load_dotenv(override=True) # Parse command line arguments # This will be used to pass the input video file to the bot # You can run the bot with a command like: # python 18-gstreamer-filesrc.py -i path/to/video.mp4 def parse_arguments(): parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample") parser.add_argument("-i", "--input", type=str, required=True, help="Input video file") return parser.parse_args() args = parse_arguments() async def run_bot(webrtc_connection: SmallWebRTCConnection): logger.info(f"Starting bot with video input: {args.input}") transport = SmallWebRTCTransport( webrtc_connection=webrtc_connection, params=TransportParams( audio_in_enabled=True, camera_out_enabled=True, camera_out_is_live=True, camera_out_width=1280, camera_out_height=720, ), ) 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=False) await runner.run(task) if __name__ == "__main__": from run import main main()