The following environment variables can be used to configure the service:
-`ASR_MODEL`: Whisper model to use (tiny, base, small, medium, large) [default: base]
-`ASR_ENGINE`: ASR engine to use (openai_whisper, faster_whisper) [default: openai_whisper]
-`ASR_MODEL_PATH`: Custom path to store/load model files [optional]
> Interactive Swagger API documentation is available at <http://localhost:9000/docs>
> Interactive Swagger API documentation is available at <http://localhost:9000/docs>
## Cache
## Cache
The ASR model is downloaded each time you start the container, using the large model this can take some time.
The ASR model is downloaded each time you start the container. Using the large model can take significant time to download.
If you want to decrease the time it takes to start your container by skipping the download, you can store the cache directory (`~/.cache/whisper` or `/root/.cache/whisper`) to a persistent storage.
To reduce container startup time by avoiding repeated downloads, you can persist the cache directory to local storage.
Next time you start your container the ASR Model will be taken from the cache instead of being downloaded again.
The model will then be loaded from the cache instead of being downloaded again on subsequent container starts.
**Important this will prevent you from receiving any updates to the models.**
**Important: Using a persistent cache will prevent you from receiving model updates.**
=== ":octicons-file-code-16: `Default cache dir`"
=== ":octicons-file-code-16: `Default cache dir`"
```sh
```shell
docker run -d -p 9000:9000 -v $PWD/yourlocaldir:/root/.cache/whisper onerahmet/openai-whisper-asr-webservice:latest
