hipnologo / news_summarizer

News Summarizer

This app providers a summary of news along with sentiment analysis on news content using three different methods: NLTK's VADER, TextBlob, and BERT from the transformers library. The news headlines are gathered via various methods offered through the app, then an OpenAI Assistant is called via API to perform the summarization.

Features

• Fetch news articles from GNews API and Yahoo Finance.
• Upload text files for sentiment analysis.
• Paste text directly into the app for summarization and analysis.
• Perform sentiment analysis using NLTK, TextBlob, or BERT.
• Interact with OpenAI's GPT model to create content based on the news.

Installation

Before running the app, install the required libraries using:

pip install streamlit requests textblob transformers nltk

You also need to download the VADER lexicon with:

import nltk
nltk.download('vader_lexicon')

Usage

To start the app, run:

streamlit run streamlit_app.py

Environment Variables

GNEWS_API_KEY: To fetch news from the GNews API. OPENAI_API_KEY: For using the OpenAI GPT model.

Ensure these are set in your environment or use the Streamlit interface to input them.

Input Options

• Upload a File: Upload a text file for sentiment analysis.
• Paste Text: Paste the news text directly into the app.
• Fetch from URL: Provide a URL to fetch content for analysis.
• GNews API: Enter a search query to fetch news from GNews.
• Yahoo Finance News: Get the latest news from Yahoo Finance.
• Sentiment Analysis Options
• Choose between NLTK, TextBlob, and BERT for sentiment analysis.

Contributing

Contributions are welcome! To contribute to News Summarizer, please follow these guidelines:

• Fork the repository.
• Create a new branch for your changes.
• Make your changes and write tests for them.
• Run the tests using pytest to make sure they pass.
• Submit a pull request.

Support

If you have any questions or need help using News Summarizer, please post a question or open an issue on GitHub.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.