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It employs a two-agent system powered by the **Llama-3.3-70B-Versatile** model via **Groq** API.\n\n## Features\n- **Email Classification:** Assigns emails one of three categories: **Important, Casual, or Spam**.\n- **Automated Responses:** Generates appropriate responses based on classification.\n  - **Important Emails:** Formal response.\n  - **Casual Emails:** Informal response.\n  - **Spam Emails:** Ignored.\n- **Multi-Agent Collaboration:** Uses CrewAI framework to coordinate tasks between agents.\n\n## Installation\n### Prerequisites\nEnsure you have the following installed:\n- Python 3.8+\n- pip\n\n### Setup\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/RuvenGuna94/Llama-agent-spam-classifier.git\n   cd Llama-agent-spam-classifier\n   ```\n2. Create and activate a virtual environment:\n   ```bash\n   python -m venv venv\n   source venv/bin/activate   # On Windows use: venv\\Scripts\\activate\n   ```\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. Set up environment variables:\n   - Create a `.env` file in the root directory.\n   - Add the following line to it:\n     ```plaintext\n     GROQ_API_KEY=your_api_key_here\n     ```\n\n## Usage\n1. Run the script:\n   ```bash\n   python main.py\n   ```\n2. The agents will classify an email and generate a response accordingly.\n\n## Code Structure\n- `email_agent.py`: Core script defining agents and their tasks.\n- `.env`: Stores environment variables.\n- `requirements.txt`: Lists dependencies.\n\n## Example Output\n```\nAgent: Email Classifier\nClassification: Casual\n\nAgent: Email Responder\nResponse: \"Noted! Thanks for the update.\"\n```\n\n## Technologies Used\n- **CrewAI**: Agent-based workflow framework\n- **Llama 3**: Large language model from Groq\n- **Python**: Primary programming language\n\n## Future Improvements\n- Extend classification to include more categories.\n- Integrate with an email API (e.g., Gmail API) for real-time processing.\n- Store classified emails in a database.\n\n## License\nThis project is licensed under the MIT License.\n\n## Author\n[RuvenGuna94](https://github.com/RuvenGuna94)\n","readmeExcerpt":"Llama-Agent Spam Classifier Overview This project utilizes CrewAI to classify incoming emails and generate appropriate responses based on their importance. It employs a two-agent system powered by the **Llama-3.3-70B-Versatile** model via **Groq** API. 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