generated from thinkode/modelRepository
32 lines
963 B
Python
32 lines
963 B
Python
# from faster_whisper import WhisperModel
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import whisper
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import argparse
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from log import log_step
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from genericpath import exists
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try:
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# Create the parser
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parser = argparse.ArgumentParser(description="dubstudio audio transcription tool (v1.0) - V. BOULANGER - 2025")
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# Options definition
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parser.add_argument('-a', '--audio', help='Audio file to process', default='audio.wav')
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parser.add_argument('-m', '--model', help="Transcription model to use for processing the audio", default='small')
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# Options analyzing
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args = parser.parse_args()
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log_step('start', 100, {
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"audioFile": args.audio,
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"model": args.model,
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})
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model = whisper.load_model(args.model)
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result = model.transcribe(args.audio, word_timestamps=True, language=None, verbose=False)
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except KeyboardInterrupt:
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# Delete the output folder
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log_step("exit", 100, "program exit")
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except Exception as e:
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log_step("error", 100, str(e)) |