import gradio as gr
import requests

# Function to get real-time weather data from OpenWeatherMap
def get_weather_data(city):
    # Replace with your own API key from OpenWeatherMap
    api_key = "b66e24b9c417559e4302f9e0253b70d8"
    base_url = "http://api.openweathermap.org/data/2.5/weather?"
    
    # Create the complete URL
    complete_url = f"{base_url}q={city}&appid={api_key}&units=metric"
    
    # Send request to the OpenWeatherMap API
    try:
        response = requests.get(complete_url)
        data = response.json()
        
        # Check if the request was successful
        if data.get("cod") != "404":  # Successful request
            main_data = data["main"]
            weather_data = data["weather"][0]
            
            # Extract necessary weather data
            temperature = main_data["temp"]
            weather_type = weather_data["main"]
            humidity = main_data["humidity"]
            light_intensity = 0.8 if weather_type == "Clear" else 0.5  # Simplified for demo
            
            return temperature, weather_type, light_intensity
        else:
            return None, None, None  # If city is not found or error occurs
    except Exception as e:
        return None, None, None  # In case of any network or API issues

# Example function that simulates clothing changes based on external factors
def adaptive_clothing(city):
    temperature, weather_type, light_intensity = get_weather_data(city)
    
    if temperature is None:
        return "Error: Could not retrieve weather data. Please check the city name or try again later."
    
    # Dummy logic for adaptive clothing adjustments based on weather data
    if weather_type == "Rain":
        color = "Dark Blue"
        insulation = "High"
    elif weather_type == "Clear":
        color = "Bright Yellow"
        insulation = "Low"
    elif temperature < 10:
        color = "Light Blue"
        insulation = "High"
    elif temperature > 25:
        color = "Light Pink"
        insulation = "Low"
    else:
        color = "Neutral Grey"
        insulation = "Medium"

    # Simulate pattern change based on light intensity
    pattern = "Striped" if light_intensity > 0.7 else "Solid"

    return f"Weather: {weather_type}, Temperature: {temperature}°C, Recommended Color: {color}, Insulation: {insulation}, Pattern: {pattern}"

# Gradio interface with real-time weather-based adaptive clothing
def create_gradio_interface():
    # Create a Gradio interface where users input a city name to get adaptive clothing suggestions
    interface = gr.Interface(
        fn=adaptive_clothing,
        inputs=gr.Textbox(label="Enter City Name"),
        outputs=gr.Textbox(label="Adaptive Clothing Suggestions"),
        live=True,  # Enables live updates
        description="Enter a city name to get real-time weather-based adaptive clothing suggestions."
    )
    interface.launch()

create_gradio_interface()