e719cbbe6d
Move 304 examples from a flat numbered directory into 14 descriptive subfolders: getting-started, services (speech + function-calling), transcription, vision, realtime, persistent-context, context-summarization, update-settings (stt/tts/llm), turn-management, thinking-and-mcp, transports, video-avatar, video-processing, and features. Strip numbered prefixes from filenames (e.g. 07c-interruptible-deepgram.py becomes services/speech/deepgram.py) since the folder context makes them redundant. Keep numbered prefixes only in getting-started/ where ordering matters. Update eval script paths and README to match the new structure.
93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
#
|
|
# Copyright (c) 2024-2026, 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.runner.types import RunnerArguments
|
|
from pipecat.runner.utils import create_transport
|
|
from pipecat.transports.base_transport import BaseTransport, TransportParams
|
|
from pipecat.transports.daily.transport import DailyParams
|
|
|
|
load_dotenv(override=True)
|
|
|
|
# We use lambdas to defer transport parameter creation until the transport
|
|
# type is selected at runtime.
|
|
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_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
|
logger.info(f"Starting bot with video input: {runner_args.cli_args.input}")
|
|
|
|
gst = GStreamerPipelineSource(
|
|
pipeline=f"filesrc location={runner_args.cli_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,
|
|
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
|
|
)
|
|
|
|
@transport.event_handler("on_client_connected")
|
|
async def on_client_connected(transport, client):
|
|
logger.info(f"Client connected")
|
|
|
|
@transport.event_handler("on_client_disconnected")
|
|
async def on_client_disconnected(transport, client):
|
|
logger.info(f"Client disconnected")
|
|
await task.cancel()
|
|
|
|
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
|
|
|
await runner.run(task)
|
|
|
|
|
|
async def bot(runner_args: RunnerArguments):
|
|
"""Main bot entry point compatible with Pipecat Cloud."""
|
|
transport = await create_transport(runner_args, transport_params)
|
|
await run_bot(transport, runner_args)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
from pipecat.runner.run import main
|
|
|
|
parser = argparse.ArgumentParser(description="Pipecat Video Streaming Bot")
|
|
parser.add_argument("-i", "--input", type=str, required=True, help="Input video file")
|
|
|
|
main(parser)
|