For production model serving, why not just use MLflow Model Serving? You just code it up/import it with the notebooks, then Log it using MLflow, then Register it with the MLflow Registry, then there is a nice UI to serve it using Model Serving. It will expose a REST endpoint for your model that any application can hit.