News Summarizer AI

News Summarizer AI is a Python-based application designed to fetch and summarize news articles on a specific topic using the OpenAI GPT model and the NewsAPI. The application leverages Streamlit for its user interface, making it easy to interact with.

Features

• Fetch News Articles: Retrieve news articles from NewsAPI based on a topic.
• Summarize News: Use OpenAI's GPT model to create concise summaries of the retrieved news articles.
• Streamlit Integration: An interactive user interface for input and displaying results.

Prerequisites

Before you can run the project, ensure you have the following installed:

• Python 3.8+
• pipenv or pip
• API key for NewsAPI
• API key for OpenAI

Installation

1. Clone the repository:

   git clone https://github.com/your-username/news-summarizer-AI.git
   cd news-summarizer-AI

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   • Create a .env file in the root directory.
   • Add your API keys:

     NEWS_API_KEY=your_newsapi_key
     OPENAI_API_KEY=your_openai_api_key
     

Usage

1. Run the application:

   streamlit run main.py

2. Open the application in your browser at http://localhost:8501.

3. Enter a topic in the input field and click Run Assistant to generate summaries for the latest news on that topic.

Project Structure

.
├── main.py               # Main application file
├── requirements.txt      # Project dependencies
├── .env                  # Environment variables (not included in the repo)
├── README.md             # Project documentation

How It Works

1. Fetching News:

   • The get_news function queries the NewsAPI for articles based on the user's topic.
   • Retrieves up to 5 articles and their metadata.

2. Summarizing News:

   • The AssistantManager class interacts with OpenAI's GPT API.
   • A personal assistant is created to process and summarize the news articles.

3. Interactive Interface:

   • Users can interact with the app via a Streamlit-powered UI.

Dependencies

• openai
• streamlit
• python-dotenv
• requests

Install all dependencies using:

pip install -r requirements.txt

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any feature requests or bug fixes.

License

This project is licensed under the MIT License.

Acknowledgments

• OpenAI for their powerful GPT model.
• NewsAPI for providing a robust news aggregation service.
• Streamlit for making web app development simple and intuitive.