Update README.md

README.md

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----
-title: SecurePipeline
-emoji: 📊
-colorFrom: indigo
-colorTo: purple
-sdk: streamlit
-sdk_version: 1.41.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: ML Pipeline for Cybersecurity Purple Teaming 🛡️
+emoji: 🏃
+colorFrom: indigo
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.41.1
+app_file: app.py
+pinned: false
+license: mit
+short_description: A Streamlit-based machine learning pipeline platform
+---
+
+# ML Pipeline for Cybersecurity Purple Teaming 🛡️
+
+A scalable Streamlit-based machine learning pipeline platform specialized for cybersecurity purple-teaming, enabling advanced data processing and model training.
+
+## Features 🚀
+
+- **Distributed Data Processing**: Leverage Dask for handling large-scale datasets
+- **Interactive ML Pipeline**: Build and customize machine learning workflows
+- **Real-time Visualization**: Monitor model performance and data insights
+- **Cybersecurity Focus**: Tailored for purple team operations and security analytics
+
+## Tech Stack 💻
+
+- **Dask**: Distributed data processing
+- **Scikit-learn**: ML model training and evaluation
+- **Streamlit**: Interactive web interface
+- **Pandas/NumPy**: Data manipulation and analysis
+- **Matplotlib/Seaborn**: Data visualization
+
+## Getting Started 🏁
+
+1. **Clone the repository**
+```bash
+git clone https://github.com/yourusername/cybersec-ml-pipeline.git
+cd cybersec-ml-pipeline
+```
+
+2. **Install dependencies**
+```bash
+pip install -r requirements.txt
+```
+
+3. **Run the application**
+```bash
+streamlit run app.py
+```
+
+## Usage Guide 📖
+
+1. **Data Upload**
+   - Support for CSV and JSON formats
+   - Automatic handling of large datasets using Dask
+
+2. **Pipeline Configuration**
+   - Choose preprocessing steps
+   - Configure model parameters
+   - Select features for training
+
+3. **Model Training**
+   - Interactive parameter tuning
+   - Real-time performance metrics
+   - Visual model evaluation
+
+## Contributing 🤝
+
+Please read our [Contributing Guidelines](CONTRIBUTING.md) for details on our code of conduct and the process for submitting pull requests.
+
+## Security 🔒
+
+For security concerns, please review our [Security Policy](.github/SECURITY.md).
+
+## License 📄
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Acknowledgments 👏
+
+- Streamlit community for the amazing framework
+- Scikit-learn team for the ML tools
+- All contributors who help improve this project