Create app.py

app.py

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+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.")