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feat: progress callbacks #1033

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feat: progress callbacks #1033

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3 changes: 3 additions & 0 deletions whisperx/alignment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,6 +119,7 @@ def align(
return_char_alignments: bool = False,
print_progress: bool = False,
combined_progress: bool = False,
progress_callback=None,
) -> AlignedTranscriptionResult:
"""
Align phoneme recognition predictions to known transcription.
Expand Down Expand Up @@ -147,6 +148,8 @@ def align(
base_progress = ((sdx + 1) / total_segments) * 100
percent_complete = (50 + base_progress / 2) if combined_progress else base_progress
print(f"Progress: {percent_complete:.2f}%...")
if progress_callback:
progress_callback(percent_complete)

num_leading = len(segment["text"]) - len(segment["text"].lstrip())
num_trailing = len(segment["text"]) - len(segment["text"].rstrip())
Expand Down
3 changes: 3 additions & 0 deletions whisperx/asr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,7 @@ def transcribe(
print_progress=False,
combined_progress=False,
verbose=False,
progress_callback=None,
) -> TranscriptionResult:
if isinstance(audio, str):
audio = load_audio(audio)
Expand Down Expand Up @@ -258,6 +259,8 @@ def data(audio, segments):
base_progress = ((idx + 1) / total_segments) * 100
percent_complete = base_progress / 2 if combined_progress else base_progress
print(f"Progress: {percent_complete:.2f}%...")
if progress_callback:
progress_callback(percent_complete)
text = out['text']
if batch_size in [0, 1, None]:
text = text[0]
Expand Down