Crew AI News Summary

This repository contains code for a project that utilizes Crew AI to search for news articles, fetch their full text, summarize the articles, and extract keywords.

Overview

The project consists of the following components:

• Agents: Agents are responsible for specific tasks such as searching for news articles, fetching full text, summarizing articles, and extracting keywords.
• Tasks: Tasks represent the specific actions to be performed by agents.
• Data Processing: The code includes functions to process the fetched news articles, format them, and save the results to a JSON file.

Project Structure

• agents.py: Defines the agents responsible for various tasks.
• tasks.py: Defines the tasks to be performed by the agents.
• news_summary.ipynb: Jupyter Notebook containing the main code for the project.
• .gitignore: Specifies files and directories to be ignored by Git.
• README.md: This file, providing an overview of the project.

Usage

To use the project:

1. Install the required dependencies using pip install -r requirements.txt.
2. Set up necessary environment variables or secrets.
3. Run the news_summary.ipynb notebook to execute the code and perform the news summary task.

Dependencies

• crewai: Python library for building AI-powered workflows.
• langchain-groq: Python library for using Groq language model.
• duckduckgo-search: Python library for searching DuckDuckGo.

Contributing

Contributions are welcome! If you have any suggestions, bug fixes, or enhancements, feel free to open an issue or submit a pull request.