60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
from pathlib import Path
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import runpod
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from runpod.serverless import os
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import loaders
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# import process
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output_path:Path = Path(os.environ.get("VERBANOTE_OUTPUT_PATH", "/in"))
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input_path:Path = Path(os.environ.get("VERBANOTE_INPUT_PATH", "/out"))
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access_token: str = os.environ.get("VERBANOTE_HF_TOKEN", "")
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loaders.prep()
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# diarize_pipeline = loaders.diarization(access_token)
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# whisper_model = loaders.whisper()
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def handler(job):
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input:dict = job["input"]
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url: str | None = input.get("url")
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if not url:
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return {"error": "no file link provided"}
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try:
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audiofile = loaders.audiofile(url, input_path=input_path)
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except Exception:
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return {"error": "audiofile import failed"}
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# diarized = process.diarize(audiofile, diarize_pipeline, output_path)
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# diarized_groups = process.save_diarized_audio_files(
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# diarized, audiofile, output_path
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# )
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# process.transcribe(
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# model=whisper_model, diarized_groups=diarized_groups, output_path=output_path
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# )
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return {
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"speaker_timings": "s3-address-to-speakers",
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"transcription_text": "s3-address-to-transcription",
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"transcription_page": "web-address-to-deployment",
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"audiofile_path": str(audiofile)
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}
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# speakers = {
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# # speaker, textboxcolor, speaker color
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# "SPEAKER_00": ("SPEAKER00", "white", "darkgreen"),
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# "SPEAKER_01": ("SPEAKER01", "white", "darkorange"),
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# "SPEAKER_02": ("SPEAKER02", "white", "darkred"),
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# "SPEAKER_03": ("SPEAKER03", "white", "darkblue"),
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# "SPEAKER_04": ("SPEAKER04", "white", "darkyellow"),
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# "SPEAKER_05": ("SPEAKER05", "white", "lightgreen"),
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# "SPEAKER_06": ("SPEAKER06", "white", "lightred"),
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# "SPEAKER_07": ("SPEAKER07", "white", "lightblue"),
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# }
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if __name__ == "__main__":
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runpod.serverless.start({"handler": handler})
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