- Create FarsiTranscriber class wrapping OpenAI's Whisper model
- Support both audio and video file formats
- Implement word-level timestamp extraction
- Add device detection (CUDA/CPU) for optimal performance
- Format results for display with timestamps
- Integrate transcriber with PyQt6 worker thread
- Add error handling and progress updates
- Phase 3 complete: Core transcription engine ready
- Implement MainWindow class with professional layout
- Add file picker for audio and video formats
- Create transcription button with threading support
- Add progress bar and status indicators
- Implement TranscriptionWorker thread to prevent UI freezing
- Add results display with timestamps support
- Create export button (placeholder for Phase 4)
- Add error handling and user feedback
- Phase 2 complete: Full GUI scaffolding ready
* Fix: Update torch.load to use weights_only=True to prevent security warning
* Update __init__.py
* Update __init__.py
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Co-authored-by: Jong Wook Kim <jongwook@openai.com>
* Update triton kernel using _unsafe_update_src
* support old triton versions
* refactored changes to update triton kernel only once
* Update triton_ops.py
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Co-authored-by: Jong Wook Kim <jongwook@openai.com>
Co-authored-by: Jong Wook Kim <ilikekjw@gmail.com>
* Bugfix: Illogical "Avoid computing higher temperatures on no_speech"
Bugfix for https://github.com/openai/whisper/pull/1279
It's "silence" when decoding has failed due to `compression_ratio_threshold` too, when further down the code it's not "silence" anymore.
"Silence" should be only when decoding has failed due to `logprob_threshold`.
Like described there:
8bc8860694/whisper/transcribe.py (L421)
And in code there:
8bc8860694/whisper/transcribe.py (L243-L251)
* Fix if "logprob_threshold=None"
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Co-authored-by: Jong Wook Kim <jongwook@openai.com>
* Add option to carry initial_prompt with the sliding window
Add an option `carry_initial_prompt = False` to `whisper.transcribe()`.
When set to `True`, `initial_prompt` is prepended to each internal `decode()` call's `prompt`.
If there is not enough context space at the start of the prompt, the prompt is left-sliced to make space.
* Prevent redundant initial_prompt_tokens
* Revert unnecessary .gitignore change
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Co-authored-by: Kittsil <kittsil@gmail.com>
Co-authored-by: Jong Wook Kim <jongwook@openai.com>
* Relax triton requirements for compatibility with pytorch 2.4 and newer
Similar to https://github.com/openai/whisper/pull/1802, but now when pytorch upgrades to 2.4, it requires triton==3.0.0. I am not sure if it makes sense to remove the upper bound version constraints
* Update requirements.txt
* Update audio.py
The `mel_filters` function is using a `np.load` function to load a pre-computed mel filterbank matrix. This function is not thread-safe, which means that if it is called from multiple threads at the same time, it may corrupt the data.
To fix this, you can use the `torch.load` function instead. This function is thread-safe, so it will not corrupt the data if it is called from multiple threads at the same time.
* Update audio.py
updated the docstring
* allow_pickle=False
* newline
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Co-authored-by: Jong Wook Kim <jongwook@nyu.edu>
Co-authored-by: Jong Wook Kim <jongwook@openai.com>
* ADD parser for new argument --max_words_count
* ADD max_words_count in words_options
ADD warning for max_line_width compatibility
* ADD logic for max_words_count
* rename to max_words_per_line
* make them kwargs
* allow specifying file path by --model
* black formatting
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Co-authored-by: Jong Wook Kim <jongwook@nyu.edu>
