In this tutorial we will walk through creating a simple web application with Python and the Flask framework backed by AI/ML Algorithms from Modzy.

Environment Set Up

• Download the project code.
  • Download or clone the Modzy Flask Template from Github: https://github.com/modzy/modzy_flask_template
  • Open a terminal window and navigate to the Modzy Flask Template directory you just downloaded.
• Install Python
  • If you already have Python installed, you may skip this step.
  • If you don't have Python installed, install it now. You can download an installer from the Python official website or on a Mac you can install with Homebrew.
  • To verify your Python installation type python3 into your terminal window.
• Install Flask
  • If you already have Flask installed, you may skip this step.
  • Verify that your terminal is in the Modzy Flask Template folder.
  • First we will create a virtual environment to contain this project. Enter python3 -m venv venv into the terminal and press enter.
  • After the command completes, type source venv/bin/activate and press enter.
  • Now type pip install flask flask-wtf and hit enter.
• Install Modzy-SDK
  • Type pip install modzy-sdk to your terminal and press enter.
  • Retrieve your Modzy API key. It is a good idea to create a new project and use the project's API key to better organize and monitor activity related to this application.
  • If you are using Linux or Mac, type export API_KEY=yourAPI_key and hit enter. If using a Windows terminal, set API_KEY=yourAPI_key. Alternatively, you may edit the config.py file replacing API_KEY_Public.API_KEY_Private with your downloaded API Key.

Start up project

• Start Flask with the command flask run in your terminal
• Using a web browser of your choice, navigate to http://127.0.0.1:5000/
• You should see this in your brower:

Submit data to application

• Enter text into the 'My Text' box and click Analyze.
• Within a few seconds the sentiment analysis results will be displayed!

You're done! Now click Next Steps and have some fun – or for a more in-depth tutorial on how Modzy works with Flask, walk through the Modzy in a Flask app Tutorial