chrissewell/whisperX
1
0
Fork 0
mirror of https://github.com/m-bain/whisperX.git synced 2025-07-01 18:17:27 -04:00
Code Issues Packages Projects Releases Wiki Activity

Update asr.py

Browse Source
This commit is contained in:
awerks
2023-08-17 14:49:57 +02:00
committed by GitHub
parent d2d840f06c
commit ea7bb91a56
1 changed files with 3 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
whisperx/asr.py
View File

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