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:
Mark Backman
2025-04-11 19:44:16 -04:00
committed by GitHub
parent 8186219879
commit f6accbd510
120 changed files with 7989 additions and 7179 deletions

View File

@@ -5,13 +5,10 @@
#
import asyncio
import sys
import tkinter as tk
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from runner import configure
from pipecat.frames.frames import (
Frame,
@@ -24,14 +21,13 @@ 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.services.daily import DailyParams, DailyTransport
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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):
@@ -53,52 +49,59 @@ class MirrorProcessor(FrameProcessor):
await self.push_frame(frame, direction)
async def main():
async with aiohttp.ClientSession() as session:
(room_url, token) = await configure(session)
async def run_bot(webrtc_connection: SmallWebRTCConnection):
logger.info(f"Starting bot")
tk_root = tk.Tk()
tk_root.title("Local Mirror")
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,
),
)
daily_transport = DailyTransport(
room_url, token, "Test", DailyParams(audio_in_enabled=True)
)
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,
),
)
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,
),
)
@daily_transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await transport.capture_participant_video(participant["id"])
@p2p_transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
pipeline = Pipeline([daily_transport.input(), MirrorProcessor(), tk_transport.output()])
pipeline = Pipeline([p2p_transport.input(), MirrorProcessor(), tk_transport.output()])
task = PipelineTask(
pipeline,
params=PipelineParams(
audio_in_sample_rate=24000,
audio_out_sample_rate=24000,
),
)
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)
async def run_tk():
while not task.has_finished():
tk_root.update()
tk_root.update_idletasks()
await asyncio.sleep(0.1)
runner = PipelineRunner()
runner = PipelineRunner(handle_sigint=False)
await asyncio.gather(runner.run(task), run_tk())
await asyncio.gather(runner.run(task), run_tk())
if __name__ == "__main__":
asyncio.run(main())
from run import main
main()