Demo project for stock prediction

• Installing the dependencies stored in requirements.txt, use the pip command to install the exact version of the dependencies

• Run the follow set of commands for setting up FLASK (a micro web framework)

  • Windows:
    • set FLASK_APP=model.py
    • set FLASK_ENV=development
    • flask run
  • Linux:
    • change the 'set' into 'export'

• This is a toy example for an assignment of a stock prediction API with a pretrained model, which is jsut a vanilla LSTM.