Initial steps:
Run pip install -r requirements.txt to install the necessary dependencies.
Download data and models folder from https://drive.google.com/drive/folders/1QkFppZxlZB59ypB2VjHLQUgRmcOccNmb?usp=sharing and place it within SE folder.
To setup the project run setup.py only once. This will crawl and calculate document vectors for all embeddings. It will also calculate page rank of all the pages.
Run the flask app using python app.py. This will start a flask web server where the UI is displayed and query terms can be searched.