Spaces:
Runtime error
Runtime error
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 | |
``` |