harrypotter0/ml-flask-api

Using Flask API for ML models (Notes)

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!

How to run the model ::

1. conda create --name venv python=3.6
2. source activate venv
3. gunicorn --bind 0.0.0.0:8000 hello-world:app
4. https://localhost:8000/users/any-name
5. gunicorn --bind 0.0.0.0:8000 server:app
6. https:0.0.0.0:8000/predict