Set README

README.md

@@ -1,110 +1,11 @@
-# [Project: Delivery Route Optimization](https://huggingface.co/spaces/Jing997/DeliveryRouteOptimisation)
-
-![Delivery Route Optimization Demo](gif/delivery_route_optimisation.gif)
-
-This project is a **Delivery Route Optimization** tool built using Streamlit. It aims to optimize delivery routes for a fleet of vehicles while considering constraints such as delivery time windows, vehicle capacity, and traffic conditions.
-
-
-### Key Features
-1. **Route Optimization**:
-   - Solve the **Vehicle Routing Problem (VRP)** to determine the most efficient routes for a fleet of vehicles.
-   - Incorporate constraints like:
-     - Delivery time windows.
-     - Vehicle capacity.
-     - Traffic conditions.
-
-2. **Map Visualization**:
-   - Display optimized routes on an interactive map using **Folium**.
-   - Highlight delivery stops, start and end points, and route distances.
-
-3. **Calendar View**:
-   - Provide a calendar-based schedule for deliveries.
-   - Allow users to view and manage delivery schedules for specific days or weeks.
-
-4. **Real-Time Updates**:
-   - Enable real-time updates for route changes due to unexpected events (e.g., traffic congestion, vehicle breakdowns).
-   - Re-optimize routes dynamically and update the map and calendar views.
-
-### Tools and Technologies
-- **Python**: Core programming language for optimization and application logic.
-- **Google OR-Tools**: Solve the Vehicle Routing Problem (VRP) with constraints.
-- **Streamlit**: Build an interactive web application for route visualization and schedule management.
-- **Folium**: Create interactive maps for route visualization.
-- **Synthetic Data**: Integrate real-time traffic data for dynamic route adjustments.
-
 ---
-
-## Project Structure
-
-```
-streamlit-app-template
-├── src
-│   ├── app.py                # Main entry point of the Streamlit application
-│   ├── components            # Directory for reusable UI components
-│   │   └── __init__.py
-│   ├── pages                 # Directory for different pages of the application
-│   │   └── __init__.py
-│   ├── utils                 # Directory for utility functions
-│   │   └── __init__.py
-├── requirements.txt          # List of dependencies for the application
-├── .streamlit                # Configuration settings for Streamlit
-│   ├── config.toml
-├── img                       # Folder for storing images
-│   └── delivery_route_network.png
-├── .gitignore                # Files and directories to ignore in Git
-├── README.md                 # Documentation for the project
-└── LICENSE                   # Licensing information
-```
-
+title: DeliveryRouteOptimisation
+emoji: 🌍
+colorFrom: yellow
+colorTo: red
+sdk: docker
+pinned: false
+license: gpl-2.0
 ---
 
-## Installation
-
-To get started with this Streamlit application template, follow these steps:
-
-1. Clone the repository:
-   ```
-   git clone https://github.com/yourusername/streamlit-app-template.git
-   cd streamlit-app-template
-   ```
-
-2. Create a virtual environment (optional but recommended):
-   ```
-   python -m venv venv
-   source venv/bin/activate  # On macOS/Linux
-   venv\Scripts\activate     # On Windows
-   ```
-
-3. Install the required dependencies:
-   ```
-   pip install -r requirements.txt
-   ```
-
-4. Run the Streamlit application:
-   ```
-   streamlit run src/app.py
-   ```
-
----
-
-## Deployment
-
-This application is deployed on Hugging Face Spaces and is accessible at:
-
-🚀 [Delivery Route Optimization App](https://huggingface.co/spaces/Jing997/DeliveryRouteOptimisation)
-
-The deployed version provides all the features of the local application without requiring any installation. You can:
-
-- View and analyze optimized delivery routes
-- Interact with the map visualization
-- Explore the calendar view of scheduled deliveries
-- Test different optimization parameters
-- Filter deliveries by date, status, and priority
-
-The app is automatically updated whenever changes are pushed to the connected GitHub repository.
-
----
-
-## License
-
-This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference