@team_name : do_the_code
@team_members :
- Nimish Bajaj
- Shobhit Gupta
This repository contains a web application which can be used for Topic Modelling on any article and return top 5 topics detected from the article
Please have the following setup ready before running the notebook :
- python 3.6.x
- Flask == 0.12.2
- pandas == 0.22.0
- pytextrank == 1.1.0
- sklearn == 0.21.2
- spacy == 2.1.4
- urllib == 1.25.3
- jupyter notebook for running notebooks
- Complete the system setup
- Run the web service which fetches the topics by running the following command:
python3 pytextrank_notebook-word2vec.py- Run the app service which you will be using
python3 app.py- Your app can be accessed on the url http://<HOST-IP>:2019
