Deploy-ML-tensorflow-model-using-Flask-backend-frontend-

Connect tensorflow model using flask without any use of API calls. Add any ML prototype and showcase your projects.

Usage: Create virtualenv

Install following packages using pip

1. Flask pip install flask

2. Tensorflow pip install --upgrade tensorflow==1.15

ProcFile and config.py can be deleted if you don't want to deploy on heroku.

Download and add model file in static folder.

Complete guide and explaination: https://medium.com/analytics-vidhya/deploy-ml-tensorflow-model-using-flask-backend-frontend-12a38ce53b7f