app.py

import gradio as gr
import requests
import os
from groq import Groq  # Assuming Groq or a similar LLM can provide insights

def get_weather_and_insight(city_name):
    # Initialize the Groq client with your API key
    groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))
    
    # Use Groq to get a short insight about the city
    insight = groq_client.get_insight(city_name, max_words=10)  # Assumed method and parameter
    
    API_Key = os.getenv("OPENWEATHER_API_KEY")
    if not API_Key:
        return "API Key is not set. Please set the OPENWEATHER_API_KEY environment variable."
        
    url = f'https://api.openweathermap.org/data/2.5/weather?q={city_name}&appid={API_Key}&units=metric'
    response = requests.get(url)
    
    if response.status_code == 200:
        data = response.json()
        weather = data['weather'][0]['description']
        temp = data['main']['temp']
        humidity = data['main']['humidity']

        weather_emoji = "☀️" if "clear" in weather else "☁️" if "cloud" in weather else "🌧️" if "rain" in weather else "❄️" if "snow" in weather else "🌫️"
        return (f"🔍 {insight} | In {city_name}, it's {weather} {weather_emoji}. "
                f"Temperature: {temp}°C 🌡️, Humidity: {humidity}% 💧")
    else:
        return "Failed to retrieve data. Please check the city name and try again."

# Define Gradio interface
iface = gr.Interface(
    fn=get_weather_and_insight,
    inputs=gr.Textbox(label="Enter City Name", placeholder="Type here..."),
    outputs=gr.Textbox(label="Weather Update and Insight"),
    title="WeatherAssistantApp",
    description="Enter a city name to get an interesting insight and the current weather details."
)

# Launch the interface
iface.launch()