Deploy ML Models with Python, Hugging Face and Anvil

For the small demo in this article, a CPU is usually enough, especially if you expect only a few users at a time. A GPU becomes more useful when you handle heavier models, longer texts, or a larger number of concurrent requests.

Yes. Hugging Face hosts many MarianMT models for different language pairs. Download the pairs you need, save them under matching folder names, and extend the LANG_CODE dictionary so your Anvil app can offer them in the dropdowns.

The Hugging Face plus Anvil pattern is great for prototypes, internal tools, and client demos. For high traffic production systems, you would normally containerise your model, deploy it to a cloud service, and add monitoring, scaling, and stronger security controls.