app.py

import streamlit as st
import requests
import google.generativeai as genai
from streamlit_js_eval import get_geolocation
import os
# Configure Google Gemini API
GEMINI_API_KEY = os.getenv('GEMINI')
genai.configure(api_key=GEMINI_API_KEY)

# Streamlit UI
st.set_page_config(page_title="Weather-Based Farming Insights", layout="wide")
st.title("🌦️ Weather-Based Farming Insights")
st.write("Fetching your location to provide farming recommendations!")

# Fetch User Location
location = get_geolocation()
latitude, longitude = None, None

if location:
    latitude = location["coords"]["latitude"]
    longitude = location["coords"]["longitude"]
    st.success(f"📍 Detected Location: Latitude {latitude}, Longitude {longitude}")
else:
    st.warning("Could not fetch location. Please enable location access.")

# Optional Crop Input
crop_name = st.text_input("🌾 Enter the crop you're growing (optional):", "")

# Fetch Weather Data
def fetch_weather_data(lat, lon):
    url = f"https://api.ambeedata.com/weather/latest/by-lat-lng?lat={lat}&lng={lon}"
    headers = {
        "x-api-key": os.getenv('WEATHER'),
        "Content-type": "application/json"
    }
    response = requests.get(url, headers=headers)
    return response.json() if response.status_code == 200 else None

# Generate Farming Report
def generate_farming_report(weather_json, crop):
    model = genai.GenerativeModel("gemini-1.5-flash")
    
    # Adjust prompt based on crop input
    if crop:
        prompt = f"""
        Analyze the given weather data and generate a **farmer-friendly** report in simple terms.
        Provide insights on:
        - **Impact of Current Weather on {crop}**: Any risks or benefits.
        - **Precautions for Farmers Growing {crop}**: How to protect against weather-related risks.
        - **Market Price Trends**: Whether the weather may affect future crop prices.

        **Weather Data:**
        {weather_json}
        """
    else:
        prompt = f"""
        Analyze the given weather data and generate a **farmer-friendly** report in simple terms.
        Provide guidance on:
        - **Impact on Crops**: How current weather affects growing crops.
        - **Best Crops to Grow**: Based on temperature, air quality, and humidity.
        - **Precautions for Farmers**: Weather-related risks and farming safety measures.

        **Weather Data:**
        {weather_json}
        """

    response = model.generate_content(prompt)
    return response.text if response else "Could not generate report."

# Fetch and Process Weather Data
report_text = None  # Initialize variable

if latitude and longitude and st.button("Get Farming Report"):
    with st.spinner("Fetching weather data... ⏳"):
        weather_data = fetch_weather_data(latitude, longitude)
        
        if weather_data:
            report_text = generate_farming_report(weather_data, crop_name)
            st.subheader("📄 Weather-Based Farming Report")
            st.write(report_text)

            # Option to download report
            st.download_button("Download Report", report_text, file_name="Farming_Report.txt")
        else:
            st.error("Failed to fetch weather data. Please try again later.")