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| title: Weather Dashboard | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: Streamlit template space | |
| Global Weather Dashboard | |
| A professional weather dashboard built with Streamlit and powered by the Open-Meteo API. This app allows users to view current weather conditions, a 7-day forecast, and interactive visualizations for multiple cities worldwide. | |
| Features City Input: Enter comma-separated city names or select from predefined cities (e.g., New York, London, Tokyo). Interactive Map: Visualize city locations with current temperatures on a global map. Weather Data: Displays current temperature, wind speed, weather conditions, and a 7-day forecast. Charts: Choose between separate or combined charts for temperature and precipitation probability. Data Export: Download forecast data as CSV for each city. Responsive Design: Professional styling with a sidebar for settings and a clean, modern UI. | |
| Setup Instructions: Clone the Repository: Ensure all files (app.py, requirements.txt) are in the root directory of your Hugging Face Space. Install Dependencies: Hugging Face Spaces will automatically install dependencies listed in requirements.txt when the Space is built. Run the App: The Space will run streamlit run app.py automatically. Ensure the app is set to use Python as the runtime environment. | |
| Security Note: The app uses verify=False for HTTP requests, which is insecure for production. For production deployment, ensure vali SSL certificates are used. | |
| Usage Open the app in your Hugging Face Space. In the sidebar, enter city names (e.g., "New York, London, Tokyo") or select a predefined city. Choose a chart type (Separate Charts or Combined Chart). Click "Fetch Weather" to display the weather data, including a map, current conditions, forecast table, and charts. | |
| Download forecast data as CSV files for each city. | |
| Dependencies streamlit: Web app framework requests: HTTP requests for API calls pandas: Data manipulation plotly: Interactive visualizations pytz: Timezone handling retrying: Retry logic for API calls | |
| Data Source Weather data provided by Open-Meteo under CC BY 4.0. | |
| For non-commercial use only. | |
| Contact | |
| For issues or inquiries, contact [email protected] or refer to the Open-Meteo GitHub repository. |