TypeError: WhisperModel.transcribe() got an unexpected keyword argument 'hotwords'

[popcion]

Traceback (most recent call last): File "G:\test\q.py", line 4, in lrcer.run(['q.mp3', 'w.mp3'], target_lang='zh-cn') File "F:\Program Files\Python-3.11.4\Lib\site-packages\openlrc\openlrc.py", line 320, in run producer.result() File "F:\Program Files\Python-3.11.4\Lib\concurrent\futures_base.py", line 456, in result return self.get_result() ^^^^^^^^^^^^^^^^^^^ File "F:\Program Files\Python-3.11.4\Lib\concurrent\futures_base.py", line 401, in get_result raise self._exception File "F:\Program Files\Python-3.11.4\Lib\concurrent\futures\thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Program Files\Python-3.11.4\Lib\site-packages\openlrc\openlrc.py", line 119, in transcription_producer segments, info = self.transcriber.transcribe(audio_path, language=src_lang) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Program Files\Python-3.11.4\Lib\site-packages\openlrc\transcribe.py", line 41, in transcribe seg_gen, info = self.whisper_model.transcribe(str(audio_path), language=language, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

[zh-plus]

Upgrade faster-whisper to the latest version using:

pip install -U faster-whisper

[popcion]

Solved. by the way, Glossary doesn't work, neither in .py files nor .yaml. when I translated from Japanese to Chinese. words do not remain the same eg. "おじさん">"爺爺"/“老頭”

lrcer = LRCer(glossary={ "おじさーん": "叔叔", "おじさん": "叔叔", })

[zh-plus]

A glossary primarily serves as a knowledge injection, providing abbreviations or preferred technical translations. For commonly used nouns, it will not change the models' minds.