The goal of this blog post is to make an API to get predictions from a pre-trained ML model and how we can do that in a fast manner using FastAPI and also be able to ship it using Docker.
This method does not scale well as it does not support caching and cannot handle much load. However, this can be a good instructional post on how you can deploy those models and use them for small low-scale projects, say a hackathon.