108 lines
3.0 KiB
Python
108 lines
3.0 KiB
Python
#
|
||
# Copyright (c) 2024–2025, Daily
|
||
#
|
||
# SPDX-License-Identifier: BSD 2-Clause License
|
||
#
|
||
|
||
import asyncio
|
||
import tkinter as tk
|
||
|
||
from dotenv import load_dotenv
|
||
from loguru import logger
|
||
|
||
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.base_transport import TransportParams
|
||
from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
|
||
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
|
||
from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
|
||
|
||
load_dotenv(override=True)
|
||
|
||
|
||
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 run_bot(webrtc_connection: SmallWebRTCConnection):
|
||
logger.info(f"Starting bot")
|
||
|
||
p2p_transport = SmallWebRTCTransport(
|
||
webrtc_connection=webrtc_connection,
|
||
params=TransportParams(
|
||
audio_in_enabled=True,
|
||
audio_out_enabled=True,
|
||
camera_in_enabled=True,
|
||
camera_out_enabled=True,
|
||
camera_out_is_live=True,
|
||
camera_out_width=1280,
|
||
camera_out_height=720,
|
||
),
|
||
)
|
||
|
||
tk_root = tk.Tk()
|
||
tk_root.title("Local Mirror")
|
||
|
||
tk_transport = TkLocalTransport(
|
||
tk_root,
|
||
TkTransportParams(
|
||
audio_out_enabled=True,
|
||
camera_out_enabled=True,
|
||
camera_out_is_live=True,
|
||
camera_out_width=1280,
|
||
camera_out_height=720,
|
||
),
|
||
)
|
||
|
||
@p2p_transport.event_handler("on_client_connected")
|
||
async def on_client_connected(transport, client):
|
||
logger.info(f"Client connected")
|
||
|
||
pipeline = Pipeline([p2p_transport.input(), MirrorProcessor(), tk_transport.output()])
|
||
|
||
task = PipelineTask(
|
||
pipeline,
|
||
params=PipelineParams(),
|
||
)
|
||
|
||
async def run_tk():
|
||
while not task.has_finished():
|
||
tk_root.update()
|
||
tk_root.update_idletasks()
|
||
await asyncio.sleep(0.1)
|
||
|
||
runner = PipelineRunner(handle_sigint=False)
|
||
|
||
await asyncio.gather(runner.run(task), run_tk())
|
||
|
||
|
||
if __name__ == "__main__":
|
||
from run import main
|
||
|
||
main()
|