55 lines
1.7 KiB
Python
55 lines
1.7 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 = os.environ.get("VERBANOTE_OUTPUT_PATH", "/transcriptions")
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output_path = Path(output_path)
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input_path = os.environ.get("VERBANOTE_INPUT_PATH", "/audiofiles")
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input_path = Path(input_path)
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access_token = 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 = job["input"]
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audiofile = loaders.audiofile(input.get("file"), path=input_path)
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if not audiofile:
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return {"error": "missing audio file location"}
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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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}
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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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