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pipecat/src/examples/foundational/03-still-frame.py
Aleix Conchillo Flaqué 9385270775 autopep8 formatting
2024-03-18 11:28:32 -07:00

55 lines
1.7 KiB
Python

import asyncio
import aiohttp
import logging
import os
from dailyai.pipeline.frames import EndFrame, TextFrame
from dailyai.pipeline.pipeline import Pipeline
from dailyai.services.daily_transport_service import DailyTransportService
from dailyai.services.fal_ai_services import FalImageGenService
from examples.support.runner import configure
logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
logger = logging.getLogger("dailyai")
logger.setLevel(logging.DEBUG)
async def main(room_url):
async with aiohttp.ClientSession() as session:
transport = DailyTransportService(
room_url,
None,
"Show a still frame image",
camera_enabled=True,
camera_width=1024,
camera_height=1024,
duration_minutes=1
)
imagegen = FalImageGenService(
image_size="square_hd",
aiohttp_session=session,
key_id=os.getenv("FAL_KEY_ID"),
key_secret=os.getenv("FAL_KEY_SECRET"),
)
pipeline = Pipeline([imagegen])
@transport.event_handler("on_first_other_participant_joined")
async def on_first_other_participant_joined(transport):
# Note that we do not put an EndFrame() item in the pipeline for this demo.
# This means that the bot will stay in the channel until it times out.
# An EndFrame() in the pipeline would cause the transport to shut
# down.
await pipeline.queue_frames(
[TextFrame("a cat in the style of picasso")]
)
await transport.run(pipeline)
if __name__ == "__main__":
(url, token) = configure()
asyncio.run(main(url))