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

@@ -4,62 +4,67 @@
# SPDX-License-Identifier: BSD 2-Clause License
#
import asyncio
import os
import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from runner import configure
from pipecat.frames.frames import EndFrame, TextFrame
from pipecat.frames.frames import TextFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.services.google.image import GoogleImageGenService
from pipecat.transports.services.daily import DailyParams, DailyTransport
from pipecat.transports.base_transport import TransportParams
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")
async def run_bot(webrtc_connection: SmallWebRTCConnection):
logger.info(f"Starting bot")
async def main():
async with aiohttp.ClientSession() as session:
(room_url, _) = await configure(session)
# Create a transport using the WebRTC connection
transport = SmallWebRTCTransport(
webrtc_connection=webrtc_connection,
params=TransportParams(
camera_out_enabled=True,
camera_out_width=1024,
camera_out_height=1024,
),
)
transport = DailyTransport(
room_url,
None,
"Show a still frame image",
DailyParams(camera_out_enabled=True, camera_out_width=1024, camera_out_height=1024),
)
imagegen = GoogleImageGenService(
api_key=os.getenv("GOOGLE_API_KEY"),
)
imagegen = GoogleImageGenService(
api_key=os.getenv("GOOGLE_API_KEY"),
)
task = PipelineTask(
Pipeline([imagegen, transport.output()]),
params=PipelineParams(enable_metrics=True),
)
runner = PipelineRunner()
# Register an event handler so we can play the audio when the client joins
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
await task.queue_frame(TextFrame("a cat in the style of picasso"))
await task.queue_frame(TextFrame("a dog in the style of picasso"))
await task.queue_frame(TextFrame("a fish in the style of picasso"))
task = PipelineTask(
Pipeline([imagegen, transport.output()]),
params=PipelineParams(enable_metrics=True),
)
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await task.queue_frame(TextFrame("a cat in the style of picasso"))
await task.queue_frame(TextFrame("a dog in the style of picasso"))
await task.queue_frame(TextFrame("a fish in the style of picasso"))
@transport.event_handler("on_client_closed")
async def on_client_closed(transport, client):
logger.info(f"Client closed connection")
await task.cancel()
@transport.event_handler("on_participant_left")
async def on_participant_left(transport, participant, reason):
await task.queue_frame(EndFrame())
runner = PipelineRunner(handle_sigint=False)
await runner.run(task)
await runner.run(task)
if __name__ == "__main__":
asyncio.run(main())
from run import main
main()