How to deploy Machine Learning models as a Microservice using FastAPI

As of today, FastAPI is the most popular web framework for building microservices with python 3.6 versions. By deploying machine learning models as microservice-based architecture, we make code components re-usable, highly maintained, ease of testing, and of-course the quick response time. FastAPI is built over ASGI (Asynchronous Server Gateway Interface) instead of flask's WSGI (Web Server Gateway Interface). This is the reason it is faster as compared to flask-based APIs. It has a data validation system that can detect any invalid data type at the runtime and returns the reason for bad inputs to the user in the JSON format only which frees developers from managing this exception explicitly.