aisp-py

Your task is to develop a simple yet engaging weather forecast mini-application using Python, specifically leveraging the 'aisp-py' library. This application will serve as a user-friendly tool to fetch and display current weather conditions along with a short-term forecast for any given city.

### Core Functionality:
- **Weather Data Retrieval**: Utilize 'aisp-py' to connect to a weather API and retrieve current temperature, humidity, wind speed, and weather description (e.g., sunny, rainy).
- **Forecast Display**: Fetch and present a short-term weather forecast for the next three days, including high and low temperatures and weather descriptions.
- **User Interface**: Design a simple command-line interface where users can input a city name and receive real-time weather updates and forecasts.

### Suggested Features:
- **Interactive CLI**: Implement a loop that allows users to query multiple cities without restarting the program.
- **Error Handling**: Include robust error handling to manage invalid city names or API request failures gracefully.
- **Customizable Units**: Allow users to switch between Celsius and Fahrenheit for temperature readings.
- **Visual Enhancements**: Add ASCII art or emojis to visually represent different weather conditions (e.g., ☀️ for sunny, 🌧️ for rainy).

### How 'aisp-py' Will Be Used:
- **API Integration**: Use 'aisp-py' to integrate your application with a weather data provider's API. Ensure you understand how to make API calls and parse JSON responses effectively.
- **Data Parsing**: Extract necessary weather information from the JSON response and format it appropriately for display in your CLI.
- **Documentation & Testing**: Refer to 'aisp-py's documentation for examples and best practices. Write unit tests to verify your application works as expected under various scenarios.

This project aims to provide a practical example of integrating third-party APIs into a Python application while offering a useful tool for everyday weather information.