Argument Analyzer

Introduction

Argument Analyzer is a web application designed to assess the quality of text-based arguments. Built with Python and Flask, it utilizes a pre-trained BERT model to provide a quality score of user-submitted arguments.

Setup

Use the following commands to clone the repository, create and activate a Python virtual environment, and pip install all necessary libraries for this web application. All of the requirements for this web application are listed in requirements.txt.

git clone https://github.com/arjunk820/arg-analyzer.git
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Usage

• Use the command python app.py in bash to run the web application
• Go to http://127.0.0.1:5000/ in order to see the web application your local machine.
• Enter an argument in the form's text area and press submit.
• A quality score and a copy of the argument inputted are returned by the application.
• Reload the webpage to enter a new argument in.

Application

• The app.py file renders the index.html which uses styles.css for aesthetics.
• After the user enters his argument and presses submit, index.html passes the argument on to the app.py
• app.py will call a function which processes the argument entered and use a pre-trained BERT model to give a quality score.
• app.py returns this score with the argument to index.html which then displays this information.