How To Deploy A Fastai Model Using Flask API

Data Scientist’s job chiefly deals with and revolves around data, data analysis and modeling. But what comes after modeling? What is the purpose of a saved model? Today we will answer these questions in the simplest way possible — by implementing it. Deployment is not a simple task and it involves development skills as well as a good awareness of the machine learning model, the data and the task which the model is built for. Deployment requires setting up an environment that is not only capable of producing a prediction for given inputs, but also serving the prediction as a service to those who need it the most. In this article, we will create a simple Fastai model to predict the price of a used car and we will also deploy the model as a service that can be accessed by users thro