Files
pipecat/examples/foundational/09-mirror.py
2025-02-04 14:12:56 -08:00

89 lines
2.5 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import asyncio
import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from runner import configure
from pipecat.frames.frames import (
Frame,
InputAudioRawFrame,
InputImageRawFrame,
OutputAudioRawFrame,
OutputImageRawFrame,
)
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.transports.services.daily import DailyParams, DailyTransport
load_dotenv(override=True)
logger.remove(0)
logger.add(sys.stderr, level="DEBUG")
class MirrorProcessor(FrameProcessor):
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, InputAudioRawFrame):
await self.push_frame(
OutputAudioRawFrame(
audio=frame.audio,
sample_rate=frame.sample_rate,
num_channels=frame.num_channels,
)
)
elif isinstance(frame, InputImageRawFrame):
await self.push_frame(
OutputImageRawFrame(image=frame.image, size=frame.size, format=frame.format)
)
else:
await self.push_frame(frame, direction)
async def main():
async with aiohttp.ClientSession() as session:
(room_url, token) = await configure(session)
transport = DailyTransport(
room_url,
token,
"Test",
DailyParams(
audio_in_enabled=True,
audio_out_enabled=True,
camera_out_enabled=True,
camera_out_is_live=True,
camera_out_width=1280,
camera_out_height=720,
),
)
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await transport.capture_participant_video(participant["id"])
pipeline = Pipeline([transport.input(), MirrorProcessor(), transport.output()])
runner = PipelineRunner()
task = PipelineTask(
pipeline, PipelineParams(audio_in_sample_rate=24000, audio_out_sample_rate=24000)
)
await runner.run(task)
if __name__ == "__main__":
asyncio.run(main())