afa880f523
Register the worker with PipelineRunner.add_workers() before calling run() instead. The worker argument still works but now emits a DeprecationWarning and will be removed in a future release. Update the runner docstrings, the run_test() helper, and all examples (including the asyncio.gather() forms) to use the new pattern.
134 lines
4.0 KiB
Python
134 lines
4.0 KiB
Python
#
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# Copyright (c) 2024-2026, 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 tkinter as tk
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.frames.frames import (
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Frame,
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InputAudioRawFrame,
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InputImageRawFrame,
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OutputAudioRawFrame,
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OutputImageRawFrame,
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)
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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.worker import PipelineParams, PipelineWorker
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport, maybe_capture_participant_camera
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
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load_dotenv(override=True)
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class MirrorProcessor(FrameProcessor):
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, InputAudioRawFrame):
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await self.push_frame(
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OutputAudioRawFrame(
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audio=frame.audio,
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sample_rate=frame.sample_rate,
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num_channels=frame.num_channels,
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)
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)
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elif isinstance(frame, InputImageRawFrame):
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await self.push_frame(
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OutputImageRawFrame(image=frame.image, size=frame.size, format=frame.format)
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)
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else:
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await self.push_frame(frame, direction)
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# We use lambdas to defer transport parameter creation until the transport
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# type is selected at runtime.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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video_in_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_in_enabled=True,
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audio_out_enabled=True,
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video_in_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_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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tk_root = tk.Tk()
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tk_root.title("Local Mirror")
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tk_transport = TkLocalTransport(
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tk_root,
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TkTransportParams(
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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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pipeline = Pipeline([transport.input(), MirrorProcessor(), tk_transport.output()])
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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)
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async def run_tk():
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while not worker.has_finished():
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tk_root.update()
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tk_root.update_idletasks()
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await asyncio.sleep(0.1)
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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await maybe_capture_participant_camera(transport, client, framerate=30)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.add_workers(worker)
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await asyncio.gather(runner.run(), run_tk())
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport, runner_args)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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