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