forked from mrq/ai-voice-cloning
should fix issue that arises when trying to prepare the dataset without slicing segments
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@ -2535,7 +2535,7 @@ def prepare_dataset( voice, use_segments=False, text_length=0, audio_length=0, p
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duration = 0
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duration = 0
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for segment in result['segments']:
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for segment in result['segments']:
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duration = max(duration, result['segments'][segment]['end'])
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duration = max(duration, segment['end'])
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if duration >= MAX_TRAINING_DURATION:
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if duration >= MAX_TRAINING_DURATION:
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message = f"Audio too large, using segments: {filename}"
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message = f"Audio too large, using segments: {filename}"
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