app.py

import os
import httpx
import streamlit as st
import urllib.parse

# Retrieve API keys from environment variables
OPENWEATHER_API_KEY = os.getenv("OPENWEATHER_API_KEY", "default_openweather_api_key")
HF_TOKEN = os.getenv("HF_TOKEN", "default_hf_token")

# Initialize Hugging Face API endpoint
HF_MODEL_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"

# Define a function to fetch the weather information
def fetch_weather() -> str:
    """Fetch the weather information for London."""
    city = "London"  # Hardcoded city name
    encoded_city = urllib.parse.quote(city)
    url = f"https://api.openweathermap.org/data/2.5/weather?q={encoded_city}&appid={OPENWEATHER_API_KEY}&units=metric"
    
    try:
        response = httpx.get(url)
        response.raise_for_status()
        weather_data = response.json()
        
        # Extract weather details
        description = weather_data['weather'][0]['description']
        temperature = weather_data['main']['temp']
        humidity = weather_data['main']['humidity']
        wind_speed = weather_data['wind']['speed']

        # Format the weather information
        weather_info = (
            f"The current weather in London is {description} with a temperature of {temperature}°C. "
            f"The humidity is {humidity}% and the wind speed is {wind_speed} m/s."
        )

        # Generate the review
        input_text = f"{weather_info} As an expert in weather forecast analysis, please provide an appropriate weather review."
        input_text = ''.join(c for c in input_text if c.isprintable())
        
        # Generate the review using the Hugging Face Inference API
        headers = {"Authorization": f"Bearer {HF_TOKEN}"}
        payload = {"inputs": input_text}
        response = httpx.post(HF_MODEL_URL, headers=headers, json=payload)
        response.raise_for_status()
        result = response.json()
        
        # Check if result is a list and handle accordingly
        if isinstance(result, list):
            review = result[0].get("generated_text", "No review generated.")
        else:
            review = "Unexpected response format."
        
        return weather_info + "\n\n" + review

    except Exception as e:
        return f"Error: {e}"

# Streamlit UI for fetching and displaying weather
st.title("Current Weather Information for London")

if st.button("Get Weather Information"):
    with st.spinner("Processing..."):
        try:
            # Call the fetch_weather function
            weather_report = fetch_weather()
            st.subheader("Current Weather Report for London")
            st.write(weather_report)
        except Exception as e:
            st.error(f"Error fetching weather report: {e}")