TL;DR

A web-based high-level interface built using Streamlit for developing machine learning models.

Deploy

To deploy the streamlit app with Docker:

docker run -d \
           --name highlevel \
           -v highlevel_models:/models \
           -p 8501:8501 \
           ghcr.io/ragingtiger/highlevel:master

Then simply open your browser to http://localhost:8501 and you should see the streamlit interface.

FAQ

• Where are the HuggingFace model downloaded to?

  • The models are downloaded (cached) in the /huggingface_models/transformers directory, which the docker command in the deploy section manages with Docker volumes.

• Why is my model taking so long to execute?

  • When models are run for the first time, you can expect it will take some time to download from the Model Hub. You can always monitor the Docker logs to see the progress of the model downloads, simply run docker logs -f highlevel to see them.