forked from mrq/tortoise-tts
14 lines
542 B
Python
14 lines
542 B
Python
import argparse
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from api import classify_audio_clip
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from tortoise.utils.audio import load_audio
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--clip', type=str, help='Path to an audio clip to classify.', default="results/favorite_riding_hood.mp3")
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args = parser.parse_args()
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clip = load_audio(args.clip, 24000)
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clip = clip[:, :220000]
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prob = classify_audio_clip(clip)
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print(f"This classifier thinks there is a {prob*100}% chance that this clip was generated from Tortoise.") |