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add task, language keyword to transcribe

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Simon
2023-05-20 15:30:25 +02:00
parent d8a2b4ffc9
commit 1fc965bc1a
1 changed files with 7 additions and 11 deletions
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18
whisperx/asr.py
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@ -214,7 +214,7 @@ class FasterWhisperPipeline(Pipeline):
return final_iterator
def transcribe(
self, audio: Union[str, np.ndarray], batch_size=None, num_workers=0
self, audio: Union[str, np.ndarray], batch_size=None, num_workers=0, language=None, task=None
) -> TranscriptionResult:
if isinstance(audio, str):
audio = load_audio(audio)
@ -229,13 +229,12 @@ class FasterWhisperPipeline(Pipeline):
vad_segments = self.vad_model({"waveform": torch.from_numpy(audio).unsqueeze(0), "sample_rate": SAMPLE_RATE})
vad_segments = merge_chunks(vad_segments, 30)
del_tokenizer = False
if self.tokenizer is None:
language = self.detect_language(audio)
self.tokenizer = faster_whisper.tokenizer.Tokenizer(self.model.hf_tokenizer, self.model.model.is_multilingual, task="transcribe", language=language)
del_tokenizer = True
else:
language = self.tokenizer.language_code
language = language or self.tokenizer.language_code
task = task or self.tokenizer.task
if task != self.tokenizer.task or language != self.tokenizer.language_code:
self.tokenizer = faster_whisper.tokenizer.Tokenizer(self.model.hf_tokenizer,
self.model.model.is_multilingual, task=task,
language=language)
segments: List[SingleSegment] = []
batch_size = batch_size or self._batch_size
@ -251,9 +250,6 @@ class FasterWhisperPipeline(Pipeline):
}
)
if del_tokenizer:
self.tokenizer = None
return {"segments": segments, "language": language}