streamlit News App 📰

A streamlit app that scrapes Google News RSS feed for news, summarizes it and displays as per choice - by top trending, category or as per a search term. Also has a bit of NLP magic working behind the scenes - to summarize long articles into a crisp little news byte.

Check out the project demo here, hosted on streamlit cloud.

Dependencies

Required dependencies

• streamlit (web interface)
• nltk (natural language toolkit for analysing data)
• newspaper3k (analysing news articles)
• bs4 (for webscraping)

Optional dependencies

• black (for formatting)

nltk packages required

• punkt (for parsing & natural language processing)
• vader_lexicon (for sentiment analysis)

Steps

1. Create a virtual environment virtualenv .streamlit-news-app and activate it.
2. pip install -r requirements.txt to install required libraries.
3. Run the app streamlit run streamlit-news-app.py

Screenshots

Landing page

Trending news page

Category page

Search page