59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
import asyncio
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import logging
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from dailyai.pipeline.frames import EndFrame, TranscriptionFrame
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from dailyai.transports.daily_transport import DailyTransport
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from dailyai.services.whisper_ai_services import WhisperSTTService
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from dailyai.pipeline.pipeline import Pipeline
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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: str):
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transport = DailyTransport(
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room_url,
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None,
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"Transcription bot",
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start_transcription=False,
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mic_enabled=False,
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camera_enabled=False,
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speaker_enabled=True,
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)
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stt = WhisperSTTService()
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transcription_output_queue = asyncio.Queue()
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transport_done = asyncio.Event()
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pipeline = Pipeline([stt], source=transport.receive_queue, sink=transcription_output_queue)
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async def handle_transcription():
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print("`````````TRANSCRIPTION`````````")
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while not transport_done.is_set():
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item = await transcription_output_queue.get()
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print("got item from queue", item)
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if isinstance(item, TranscriptionFrame):
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print(item.text)
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elif isinstance(item, EndFrame):
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break
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print("handle_transcription done")
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async def run_until_done():
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await transport.run()
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transport_done.set()
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print("run_until_done done")
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await asyncio.gather(run_until_done(), pipeline.run_pipeline(), handle_transcription())
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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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