📰 NEWSimplify

NEWSimplify is a an AI-powered news assistant built using Python and seamlessly integrating custom tools with the powerful Llama 3.1-70B large language model (LLM). This smart AI agent fetches and summarizes the latest news articles on any topic of interest, offering users a dynamic, chat-based interface for effortless interaction and real-time insights.

🌟 Key Features

• Custom Tools Integration: Demonstrates custom functions for:
  • Fetching the top 3 relevant news articles using search_web.
  • Extracting and summarizing content from the selected article using extract_article.
• AI-Powered Backend: Powered by the Llama 3.1-70B model to generate responses and dynamically call tools when required.
• Streamlit Web UI: Simple and user-friendly chat interface for interacting with the assistant.
• Real-Time News Fetching: Utilizes duckduckgo_search to gather the latest articles.

🚀 How It Works

1. User Query: The user enters a topic of interest via the chat interface.
2. Custom Tool Call (search_web):
   • The assistant fetches the top 3 relevant articles related to the topic.
3. Article Selection:
   • The user selects an article by providing its number or title.
4. Custom Tool Call (extract_article):
   • The assistant extracts and summarizes the content of the selected article.
5. Follow-Up Questions:
   • Users can ask follow-up questions based on the content of the article.

🛠️ Installation

Prerequisites

• Python 3.12+
• Poetry - Python dependency manager (pip install poetry)
• Streamlit - For the chat-based web UI.

Steps to Install and Run

1. Clone the Repository:

   git clone https://github.com/Arnab1311/NewsSimplify.git
   cd NewsSimplify

2. Install Dependencies Using Poetry:

   poetry install

3. Set Up Environment Variables:

   • Create a .env file in the project directory and add your credentials:

     GROQ_API_KEY=your_groq_api_key

4. Run the Application: Start the Streamlit interface:

   streamlit run newsimplify.py

5. Interact with the Assistant: Open http://localhost:8501 in your browser and start asking for news topics!

🧰 Dependencies

This project uses the following libraries:

• streamlit: To build the chat-based UI.
• duckduckgo-search: For fetching real-time news articles.
• selenium: For web scraping and article extraction.
• python-dotenv: To manage environment variables securely.
• groq: API library to interact with the Llama 3.1-70B model.
• newspaper4k: For extracting news article

💡 Project Files Overview

• newsimplify.py: Main script handling the assistant logic and Streamlit UI.
• websearch.py: Custom tool for searching news articles.
• article.py: Custom tool for extracting and summarizing article content.
• .gitignore: Ignores unnecessary files like virtual environments and caches.
• pyproject.toml: Poetry configuration file for dependency management.

🧪 Example Usage

Here's how the NEWSimplify assistant works in action:

🎯 Objective

This project highlights tool-calling capabilities in LLMs where the assistant dynamically calls external functions based on user queries. It showcases practical applications of integrating large language models with real-world tools to automate tasks like:

• Fetching Information
• Summarizing Content
• Providing Follow-Up Insights

🤝 Contributing

Contributions are welcome! To get started:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-name

3. Commit your changes and push:

   git commit -m "Add new feature"
   git push origin feature-name

4. Open a pull request.

📄 License

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

🧑‍💻 Author

• Arnab Kumar Chand
• GitHub: Arnab1311

🚀 Future Enhancements

• Add advanced filtering options for news articles.
• Integrate more tools to fetch weather, sports stats, or stock data.
• Enhance the assistant’s ability to answer deeper analytical queries.