Flask-API-Examples

This repository is an example of how to deploy a tensorflow model to a remote virtual server such that users can use it as an application.

Technologies used

1. Flask Micro-framework for serving the application itself.
2. Gunicorn Standard WSGI-compatible web server.
3. Tensorflow The famous deep learning framework.

Instructions

1. Install Python 3 using pyenv. You can make use of the pyenv-installer to install pyenv effortlessly. This application requires Python 3!. It is assumed that every instructions are based on Python 3 instead of Python 2 without any mentioning.
2. Run the following command:

    pip install -r requirements.txt

3. For development mode, run flask run
4. For production usage, run gunicorn --bind 0.0.0.0:8080 --daemon wsgi