Updating foundation examples to use SmallWebRTCTransport and pipecat-ai-small-webrtc-prebuilt (#1534)
Co-authored-by: Filipi Fuchter <filipi@daily.co>
This commit is contained in:
@@ -5,13 +5,10 @@
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#
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import asyncio
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import sys
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import tkinter as tk
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from runner import configure
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from pipecat.frames.frames import (
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Frame,
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@@ -24,14 +21,13 @@ from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.transports.base_transport import TransportParams
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from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
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from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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load_dotenv(override=True)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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class MirrorProcessor(FrameProcessor):
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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@@ -53,52 +49,59 @@ class MirrorProcessor(FrameProcessor):
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await self.push_frame(frame, direction)
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async def main():
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async with aiohttp.ClientSession() as session:
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(room_url, token) = await configure(session)
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async def run_bot(webrtc_connection: SmallWebRTCConnection):
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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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p2p_transport = SmallWebRTCTransport(
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webrtc_connection=webrtc_connection,
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params=TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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camera_in_enabled=True,
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camera_out_enabled=True,
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camera_out_is_live=True,
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camera_out_width=1280,
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camera_out_height=720,
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),
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)
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daily_transport = DailyTransport(
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room_url, token, "Test", DailyParams(audio_in_enabled=True)
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)
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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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camera_out_enabled=True,
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camera_out_is_live=True,
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camera_out_width=1280,
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camera_out_height=720,
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),
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)
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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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camera_out_enabled=True,
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camera_out_is_live=True,
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camera_out_width=1280,
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camera_out_height=720,
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),
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)
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@daily_transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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await transport.capture_participant_video(participant["id"])
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@p2p_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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pipeline = Pipeline([daily_transport.input(), MirrorProcessor(), tk_transport.output()])
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pipeline = Pipeline([p2p_transport.input(), MirrorProcessor(), tk_transport.output()])
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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audio_in_sample_rate=24000,
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audio_out_sample_rate=24000,
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),
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(),
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)
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async def run_tk():
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while not task.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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async def run_tk():
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while not task.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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runner = PipelineRunner()
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runner = PipelineRunner(handle_sigint=False)
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await asyncio.gather(runner.run(task), run_tk())
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await asyncio.gather(runner.run(task), run_tk())
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if __name__ == "__main__":
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asyncio.run(main())
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from run import main
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main()
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