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https://github.com/m-bain/whisperX.git
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Update asr.py
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@ -247,7 +247,7 @@ class FasterWhisperPipeline(Pipeline):
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return final_iterator
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def transcribe(
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self, audio: Union[str, np.ndarray], batch_size=None, num_workers=0, language=None, task=None, print_progress = False
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self, audio: Union[str, np.ndarray], batch_size=None, num_workers=0, language=None, task=None, print_progress = False, combined_progress=False
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) -> TranscriptionResult:
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if isinstance(audio, str):
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audio = load_audio(audio)
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@ -288,7 +288,8 @@ class FasterWhisperPipeline(Pipeline):
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total_segments = len(vad_segments)
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for idx, out in enumerate(self.__call__(data(audio, vad_segments), batch_size=batch_size, num_workers=num_workers)):
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if print_progress:
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percent_complete = ((idx + 1) / total_segments) * 100
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base_progress = ((idx + 1) / total_segments) * 100
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percent_complete = base_progress / 2 if combined_progress else base_progress
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print(f"Progress: {percent_complete:.2f}%...")
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text = out['text']
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if batch_size in [0, 1, None]:
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