74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import argparse
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import os
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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 pipecat.frames.frames import TextFrame
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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 PipelineTask
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from pipecat.services.fal.image import FalImageGenService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.services.daily import DailyParams
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load_dotenv(override=True)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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transport_params = {
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"daily": lambda: DailyParams(
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video_out_enabled=True,
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video_out_width=1024,
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video_out_height=1024,
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),
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"webrtc": lambda: TransportParams(
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video_out_enabled=True,
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video_out_width=1024,
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video_out_height=1024,
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),
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}
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async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
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logger.info(f"Starting bot")
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# Create an HTTP session
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async with aiohttp.ClientSession() as session:
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imagegen = FalImageGenService(
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params=FalImageGenService.InputParams(image_size="square_hd"),
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aiohttp_session=session,
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key=os.getenv("FAL_KEY"),
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)
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task = PipelineTask(Pipeline([imagegen, transport.output()]))
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# Register an event handler so we can play the audio when the client joins
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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await task.queue_frame(TextFrame("a cat in the style of picasso"))
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=handle_sigint)
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await runner.run(task)
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if __name__ == "__main__":
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from pipecat.examples.run import main
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main(run_example, transport_params=transport_params)
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