Spaces:
Running
Running
| title: Whisper Webui | |
| emoji: ⚡ | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.3.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # Running Locally | |
| To run this program locally, first install Python 3.9+ and Git. Then install Pytorch 10.1+ and all the other dependencies: | |
| ``` | |
| pip install -r requirements.txt | |
| ``` | |
| Finally, run the full version (no audio length restrictions) of the app: | |
| ``` | |
| python app-full.py | |
| ``` | |
| You can also run the CLI interface, which is similar to Whisper's own CLI but also supports the following additional arguments> | |
| ``` | |
| python cli.py \ | |
| [--vad {none,silero-vad,silero-vad-skip-gaps,periodic-vad}] \ | |
| [--vad_merge_window VAD_MERGE_WINDOW] \ | |
| [--vad_max_merge_size VAD_MAX_MERGE_SIZE] \ | |
| [--vad_padding VAD_PADDING] | |
| ``` | |
| In addition, you may also use URL's in addition to file paths as input. | |
| ``` | |
| python cli.py --model large --vad silero-vad --language Japanese "https://www.youtube.com/watch?v=4cICErqqRSM" | |
| ``` | |
| # Docker | |
| To run it in Docker, first install Docker and optionally the NVIDIA Container Toolkit in order to use the GPU. Then | |
| check out this repository and build an image: | |
| ``` | |
| sudo docker build -t whisper-webui:1 . | |
| ``` | |
| You can then start the WebUI with GPU support like so: | |
| ``` | |
| sudo docker run -d --gpus=all -p 7860:7860 whisper-webui:1 | |
| ``` | |
| Leave out "--gpus=all" if you don't have access to a GPU with enough memory, and are fine with running it on the CPU only: | |
| ``` | |
| sudo docker run -d -p 7860:7860 whisper-webui:1 | |
| ``` | |
| ## Caching | |
| Note that the models themselves are currently not included in the Docker images, and will be downloaded on the demand. | |
| To avoid this, bind the directory /root/.cache/whisper to some directory on the host (for instance /home/administrator/.cache/whisper), where you can (optionally) | |
| prepopulate the directory with the different Whisper models. | |
| ``` | |
| sudo docker run -d --gpus=all -p 7860:7860 --mount type=bind,source=/home/administrator/.cache/whisper,target=/root/.cache/whisper whisper-webui:1 | |
| ``` |