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="Soil Report Analyzer", layout="wide")
+st.title("🌱 Soil Report Analyzer")
+st.write("Fetching your current location to generate soil insights!")
+
+# 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.")
+
+# User Input for Crop
+crop_planted = st.text_input("🌾 Enter the crop you are currently growing:", "")
+
+# API Call Function
+def fetch_soil_data(lat, lon):
+    url = f"https://rest.isric.org/soilgrids/v2.0/properties/query?lon={lon}&lat={lat}&property=bdod&property=cfvo&property=clay&property=nitrogen&property=ocd&property=ocs&property=phh2o&property=sand&property=silt&property=soc&property=wv0010&property=wv0033&property=wv1500&depth=5-15cm&depth=15-30cm&value=Q0.05&value=mean"
+    headers = {'accept': 'application/json'}
+    response = requests.get(url, headers=headers)
+    return response.json() if response.status_code == 200 else None
+
+# Summarize Soil Data using Gemini Flash
+def summarize_soil_report(soil_json, crop):
+    model = genai.GenerativeModel("gemini-1.5-flash")
+    prompt = f"""
+    Analyze the given soil data and generate a **farmer-friendly** soil analysis report. Also, evaluate the suitability of growing '{crop}' based on the soil conditions and suggest better crops if needed.
+
+    ### **Key Insights to Include:**
+    1. **Soil pH Level** - Determine if the soil is acidic, neutral, or alkaline and suggest corrections.
+    2. **Nutrient Content** - Assess nitrogen, organic carbon, and other nutrients; suggest improvements if needed.
+    3. **Soil Texture & Water Retention** - Use clay, sand, and silt content to determine water retention.
+    4. **Moisture Content & Irrigation Needs** - Provide irrigation best practices based on soil type.
+    5. **Crop Suitability Analysis** - Determine if '{crop}' is a good fit and suggest better alternatives if necessary.
+    6. **Soil Improvement Tips** - Offer actionable suggestions for farmers.
+
+    ### **Soil Data Input:**
+    {soil_json}
+    """
+    response = model.generate_content(prompt)
+    return response.text if response else "Summary could not be generated."
+
+# Fetch and Process Soil Data
+if latitude and longitude and st.button("Get Soil Report"):
+    with st.spinner("Fetching soil data... ⏳"):
+        soil_data = fetch_soil_data(latitude, longitude)
+        
+        if soil_data:
+            summary = summarize_soil_report(soil_data, crop_planted)
+            
+            st.subheader("📄 Raw Soil Data")
+            st.json(soil_data, expanded=False)
+            
+            st.subheader("📌 Simplified Soil Report Summary")
+            st.write(summary)
+            
+            # Option to download summary
+            st.download_button("Download Summary as Text", summary, file_name="Soil_Report_Summary.txt")
+        else:
+            st.error("Failed to fetch soil data. Please try again later.")