News Genius

News Genius is a comprehensive news aggregation platform that curates the latest news articles from various sources, providing users with up-to-date information on a wide range of topics. This app summarizes and translates news articles using a combination of machine learning models to detect the language of the article, translate it to English, summarize the content, and predict the sentiment of the article.

Features

• Aggregates news from multiple sources
• Detects the language of the article
• Translates articles to English
• Summarizes the content of the articles
• Predicts the sentiment of the articles

Installation

1. Clone the repository:

   git clone https://github.com/yuval728/news-genius.git

2. Navigate to the project directory:

   cd news-genius

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Start the Streamlit app:

   streamlit run app.py

2. Open your browser and navigate to the URL provided by Streamlit (usually http://localhost:8501).

How It Works

1. Language Detection: The app uses a pre-trained language detection model to identify the language of the news article.
2. Translation: If the article is not in English, it uses pre-trained translation models to translate the content to English.
3. Summarization: The app summarizes the translated content to provide a concise version of the article.
4. Sentiment Analysis: It predicts the sentiment of the summarized content, categorizing it as Positive, Neutral, or Negative.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

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