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Also has a bit of NLP magic working behind the scenes - to summarize long articles into a crisp little news byte.\n\nCheck out the [project demo here](https://anxduos-streamlit-news-app-streamlit-news-app-yqjzh8.streamlit.app/), hosted on streamlit cloud.\n\n# Dependencies\n### Required dependencies\n* streamlit (*web interface*)\n* nltk (*natural language toolkit for analysing data*)\n* newspaper3k (*analysing news articles*)\n* bs4 (*for webscraping*)\n\n### Optional dependencies\n* black (*for formatting*)\n  \n### nltk packages required\n* punkt (*for parsing \u0026 natural language processing*)\n* vader_lexicon (*for sentiment analysis*)\n  \n# Steps\n1. Create a virtual environment ```virtualenv .streamlit-news-app``` and activate it.\n2. ```pip install -r requirements.txt``` to install required libraries.\n3. Run the app ```streamlit run streamlit-news-app.py ```\n\n# Screenshots\n### Landing page\n![Landing Page](./screenshots/landing-page.png \"Landing Page\")\n### Trending news page\n![Trending #1](./screenshots/trending-news-img-1.png \"Trending #1\")\n![Trending #2](./screenshots/trending-news-img-2.png \"Trending #2\")\n### Category page\n![Category #1](./screenshots/category-news-tech-img-1.png \"Category #1\")\n![Category #2](./screenshots/category-news-tech-img-2.png \"Category #2\")\n### Search page\n![Search #1](./screenshots/search-news-img-1.png \"Search #1\")\n![Search #2](./screenshots/search-news-img-2.png \"Search #2\")\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanandukrishnaaa%2Fstreamlit-news-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanandukrishnaaa%2Fstreamlit-news-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanandukrishnaaa%2Fstreamlit-news-app/lists"}