🌤️ Weather App

📖 Description

Get real-time weather information for any city with this sleek Python-based Weather Conditions App. This project includes both a command-line interface and a web application built with Flask. Simply enter a city name and receive current temperature, "feels like" temperature, and weather description!

🌡️ Features

• Real-time weather data from OpenWeatherMap API
• Temperature in Celsius
• "Feels like" temperature
• Current weather description
• Error handling for invalid city names
• Web interface using Flask
• Command-line interface option

🚀 How to Use

1. Set up your environment:
   Make sure you have Python installed on your system.

2. Obtain an API Key:
   Sign up on OpenWeather and get your free API key.

3. Set up your environment variables:
   Create a .env file in the project directory and add your API key like this:

   API_KEY=your_openweather_api_key
   

4. Install dependencies:
   Run the following command to install the necessary packages:

   pip install -r requirements.txt

5. Run the App:

   • For the web application, execute:

     python main.py

     Then open a web browser and go to http://localhost:8000.

   • For the command-line interface, run:

     python weather_app.py

     Enter the name of a city when prompted to get the current weather.

💻 Code Highlights

Web Application (Flask)

We use Flask to create a web interface for the weather app:

@app.route('/weather')
def get_weather():
    city = request.args.get('city')
    weather_data = get_current_weather(city)
    # ... process and render data

Command-Line Interface

The weather_app.py script can be run directly for a CLI experience:

if __name__ == '__main__':
    city_name = input("Please, enter a city name: ")
    weather_data = get_current_weather(city_name)
    # ... display weather information

Production Server

We use Waitress as a production WSGI server:

from waitress import serve

if __name__ == "__main__":
    serve(app, host="0.0.0.0", port=8000)

🛠️ Potential Enhancements

• Add support for forecasting weather data.
• Implement caching to reduce API calls for frequently requested cities.
• Add user authentication to allow saving favorite cities.
• Implement a responsive design for better mobile experience.

👨‍💻 Author

Khaled Soudy

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📦 Dependencies

This project's dependencies are listed in the requirements.txt file. Key dependencies include:

• Flask
• Requests
• Python-dotenv
• Waitress

📞 Support

If you encounter any problems or have any questions, please open an issue in the GitHub repository.

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Stay informed about the weather conditions in any city, anytime! ☀️🌧️❄️