This repository provides WhisperX in a Docker image.

The image installs Python 3.10 on Ubuntu 22.10 base images, as well as pre-requisites such as PyTorch.

WhisperX can be ran on CPU or GPU, using either of the following Docker images.

docker run -it --rm -v /path/to/audio_files:/app thomasvvugt/whisperx:cpu recording.mp3 --batch_size 4 --compute_type int8

Note: Dedicated hardware graphics card (GPU) are much more performant, especially for diarization.

You can also keep track of your cache across runs (e.g. to prevent multiple downloads from HF), by mounting /root/.cache.

docker run -it --rm --gpus all -v /path/to/audio_files:/app -v /path/to/cache:/root/.cache thomasvvugt/whisperx:cuda118 recording.mp3 --batch_size 8 --diarize --hf_token YOUR_HUGGINGFACE_READ_TOKEN

You can either use the pre-built images from Docker Hub, or build the images yourself.

docker build -f Dockerfile.cpu -t whisperx:cpu
docker build -f Dockerfile.cuda118 -t whisperx:cuda118