diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py index 7deb6349a..b602b0c91 100644 --- a/buzz/transcriber/whisper_file_transcriber.py +++ b/buzz/transcriber/whisper_file_transcriber.py @@ -124,6 +124,7 @@ def transcribe_hugging_face(cls, task: FileTranscriptionTask) -> List[Segment]: audio=task.file_path, language=language, task=task.transcription_options.task.value, + word_timestamps=task.transcription_options.word_level_timings, ) return [ Segment( diff --git a/buzz/transformers_whisper.py b/buzz/transformers_whisper.py index 0b7c6da26..e63983909 100644 --- a/buzz/transformers_whisper.py +++ b/buzz/transformers_whisper.py @@ -160,6 +160,7 @@ def transcribe( audio: Union[str, np.ndarray], language: str, task: str, + word_timestamps: bool = False, ): device = "cuda" if torch.cuda.is_available() else "cpu" torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32 @@ -190,7 +191,7 @@ def transcribe( device=device, ) - transcript = pipe(audio, return_timestamps=True) + transcript = pipe(audio, return_timestamps="word" if word_timestamps else True) segments = [] for chunk in transcript['chunks']: diff --git a/buzz/widgets/transcriber/file_transcription_form_widget.py b/buzz/widgets/transcriber/file_transcription_form_widget.py index a87a0e752..f08e3b057 100644 --- a/buzz/widgets/transcriber/file_transcription_form_widget.py +++ b/buzz/widgets/transcriber/file_transcription_form_widget.py @@ -108,7 +108,6 @@ def on_checkbox_state_changed(state: int): def reset_word_level_timings(self): self.word_level_timings_checkbox.setDisabled( - self.transcription_options.model.model_type == ModelType.HUGGING_FACE - or self.transcription_options.model.model_type + self.transcription_options.model.model_type == ModelType.OPEN_AI_WHISPER_API ) diff --git a/poetry.lock b/poetry.lock index 94ee7a50e..10cabf528 100644 --- a/poetry.lock +++ b/poetry.lock @@ -929,13 +929,13 @@ socks = ["socksio (==1.*)"] [[package]] 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(>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] -timm = ["timm"] -tokenizers = ["tokenizers (>=0.14,<0.19)"] -torch = ["accelerate (>=0.21.0)", "torch"] +tiktoken = ["blobfile", "tiktoken"] +timm = ["timm (<=0.9.16)"] +tokenizers = ["tokenizers (>=0.20,<0.21)"] +torch = ["accelerate (>=0.26.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"] -video = ["av (==9.2.0)", "decord (==0.6.0)"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"] +video = ["av (==9.2.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] [[package]] @@ -3595,4 +3587,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "a9f33953d444903563b6b4ca30e4352f30be4fd88a111812f90813274ed981d4" +content-hash = "e53cee76d86d84a010943d35f47577fc7d9f2838246b40f17314be105774d041" diff --git a/pyproject.toml b/pyproject.toml index 77f90f115..cad0580e1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,7 +39,7 @@ yt-dlp = "2024.9.27" stable-ts = "2.17.5" faster-whisper = "1.0.3" openai-whisper = "v20240930" -transformers = "4.39.1" +transformers = "4.46.1" accelerate = "^1.0.1" polib = "^1.2.0" srt-equalizer = "^0.1.10"