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README.md
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@@ -27,7 +27,7 @@ A Gradio-based browser interface for [Whisper](https://github.com/openai/whisper
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### Prerequisite
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To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`.<BR>
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If you're not using an Nvida GPU, or using a different `CUDA` version than 12.4, edit the
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Please follow the links below to install the necessary software:
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- git : [https://git-scm.com/downloads](https://git-scm.com/downloads)
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@@ -35,7 +35,7 @@ A Gradio-based browser interface for [Whisper](https://github.com/openai/whisper
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- FFmpeg : [https://ffmpeg.org/download.html](https://ffmpeg.org/download.html)
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- CUDA : [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads)
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After installing FFmpeg
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### Installation using the script files
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5. Connect to the WebUI with your browser at `http://localhost:7860`
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Note: If needed, update the
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# VRAM Usages
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- This project is integrated with [faster-whisper](https://github.com/guillaumekln/faster-whisper) by default for better VRAM usage and transcription speed.<BR>According to faster-whisper, the efficiency of the optimized whisper model is as follows:
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### Prerequisite
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To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`.<BR>
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+
If you're not using an Nvida GPU, or using a different `CUDA` version than 12.4, edit the `file requirements.txt` to match your environment.
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Please follow the links below to install the necessary software:
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- git : [https://git-scm.com/downloads](https://git-scm.com/downloads)
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- FFmpeg : [https://ffmpeg.org/download.html](https://ffmpeg.org/download.html)
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- CUDA : [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads)
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After installing `FFmpeg`, make sure to **add** the `FFmpeg/bin` folder to your system `PATH`
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### Installation using the script files
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5. Connect to the WebUI with your browser at `http://localhost:7860`
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Note: If needed, update the `docker-compose.yaml` to match your environment
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# VRAM Usages
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- This project is integrated with [faster-whisper](https://github.com/guillaumekln/faster-whisper) by default for better VRAM usage and transcription speed.<BR>According to faster-whisper, the efficiency of the optimized whisper model is as follows:
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