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Merge branch 'main' of https://huggingface.co/spaces/aadnk/whisper-webui
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README.md
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Each audio file will then be processed in turn, and the resulting SRT/VTT/Transcript will be made available in the "Download" section.
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When more than one file is processed, the UI will also generate a "All_Output" zip file containing all the text output files.
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## Whisper Implementation
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You can choose between using `whisper` or `faster-whisper`. [Faster Whisper](https://github.com/guillaumekln/faster-whisper) as a drop-in replacement for the
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Each audio file will then be processed in turn, and the resulting SRT/VTT/Transcript will be made available in the "Download" section.
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When more than one file is processed, the UI will also generate a "All_Output" zip file containing all the text output files.
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## Diarization
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To detect different speakers in the audio, you can use the [whisper-diarization](https://gitlab.com/aadnk/whisper-diarization) application.
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Download the JSON file after running Whisper on an audio file, and then run app.py in the
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whisper-diarization repository with the audio file and the JSON file as arguments.
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## Whisper Implementation
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You can choose between using `whisper` or `faster-whisper`. [Faster Whisper](https://github.com/guillaumekln/faster-whisper) as a drop-in replacement for the
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