Update README.md

README.md

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 short_description: Streamlit template space
 ---
 
-# Welcome to Streamlit!
+Global Weather Dashboard
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+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.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+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 info@open-meteo.com or refer to the Open-Meteo GitHub repository.