app.pyx

import os
import gradio as gr
import requests
import openai

# Get OpenAI API key from environment variable
openai_api_key = os.environ.get("OPENAI_API_KEY")
if not openai_api_key:
    raise ValueError("OpenAI API key not found!")

# Authenticate with OpenAI using your API key
openai.api_key = openai_api_key

def kelvin_to_celsius(temp_kelvin):
    return temp_kelvin - 273.15

def get_weather(city_name, api_key):
    # ... [same as your previous code] ...

def summarize_text(text):
    """Summarize the provided text using OpenAI."""
    response = openai.Completion.create(engine="davinci", prompt=f"Summarize the following weather comparison:\n\n{text}", max_tokens=150)
    return response.choices[0].text.strip()

def compare_weather(city1, city2):
    api_key = "91b23cab82ee530b2052c8757e343b0d"
    weather1 = get_weather(city1, api_key)
    weather2 = get_weather(city2, api_key)
    
    if weather1 and weather2:
        comparison = f"""
        {city1}:
        Temperature: {weather1[0]:.2f}°C
        Pressure: {weather1[1]} hPa
        Humidity: {weather1[2]}%
        Condition: {weather1[3]}
        
        {city2}:
        Temperature: {weather2[0]:.2f}°C
        Pressure: {weather2[1]} hPa
        Humidity: {weather2[2]}%
        Condition: {weather2[3]}
        """
        summary = summarize_text(comparison)
        return summary
    else:
        return "Error fetching weather data for one or both cities."

# Sample cities for dropdown
cities = ["New York", "Los Angeles", "London", "Paris", "Tokyo", "Sydney", "Moscow", "Mumbai", "Cape Town", "Rio de Janeiro"]

interface = gr.Interface(
    fn=compare_weather,
    inputs=[
        gr.inputs.Dropdown(choices=cities, label="City 1"),
        gr.inputs.Dropdown(choices=cities, label="City 2")
    ],
    outputs="text"
)

if __name__ == "__main__":
    interface.launch()