Creating Machine Learning API using Flask

Code accompanying the AnalyticsVidhya article

NOTE: This code is a bit old, please do not use this for production level tasks. There are better ways to do all these things, consider using FlaskAppBuilder & quart or FastAPI for your production apis

How to setup the Anaconda environment:

• Make sure you have Anaconda distribution, if not then visit: Miniconda Installation to install it.
• For a faster installation, run command (on terminal): curl -L mini.conda.ml | bash (Courtesy: @mikb0b)
• For any queries regarding conda environment, visit: Managing Conda Environments
• Go to the folder ./flask_api, you'll encounter flask_api.yml file.
• In the terminal run command: conda env create -f flask_api.yml
• Once done, run: source activate flask_api. Your virtual environment is setup successfully!