$env:FLASK_APP = "run.py"
For development: $env:FLASK_ENV = "development"
export FLASK_APP="run.py"
For development: export FLASK_APP="development"
The main objective of this web application is to visualise how 2 documents are similar in terms of the topics that they cover using a topic model.
The topic model is trained with the Wikipedia's page dumps using gensim's LDA implementation.
The web application is built with Python.
Flask is used as the back-end framework to handle the processing logic and to serve the data.
jQuery, d3, Bootstrap are used for the front-end design.
Refer to the Swagger for the API reference.