To productionize a machine learning model, the standard approach is to wrap it in a REST API and deploy it as a microservice. Flask is currently the de facto choice for writing these APIs for a couple of reasons: Flask is minimal. Because inference APIs have historically tended to be simple predict() methods, the complexities introduced by more opinionated frameworks (like Django) have been seen a