Update app.py

app.py

@@ -1006,213 +1006,6 @@ def ocr_page():
         else:
             st.warning("OCR not available in this deployment.")
 
-# Locator Page (Earth Engine integration)
-import streamlit as st
-import geemap.foliumap as geemap
-import ee
-import matplotlib.pyplot as plt
-# ----------------------------
-# Authenticate Earth Engine
-# ----------------------------
-EE_JSON = os.getenv("EARTHENGINE_TOKEN")
-
-if EE_JSON:
-    try:
-        creds = ee.ServiceAccountCredentials(
-            email=os.getenv("SERVICE_ACCOUNT"),   # <-- replace with your service account email
-            key_data=EE_JSON                      # pass raw JSON string, not dict
-        )
-        ee.Initialize(creds)
-    except Exception as e:
-        st.error(f"❌ Failed to initialize Earth Engine: {e}")
-else:
-    try:
-        ee.Initialize()  # fallback if running locally
-    except Exception as e:
-        st.error(f"❌ Local EE init failed: {e}")
-# Initialize Earth Engine if not already done
-if "ee_initialized" not in st.session_state:
-    try:
-        # Use service account credentials if available
-        # ee.Initialize(credentials='persistent')
-        ee.Initialize()
-    except Exception:
-        # Fallback to authentication flow
-        ee.Authenticate()
-        ee.Initialize()
-    st.session_state["ee_initialized"] = True
-
-def locator_page():
-    st.title("🌍 GeoMate Interactive Earth Explorer")
-
-    # -------------------------------
-    # Create Map
-    # -------------------------------
-    m = geemap.Map(center=[20, 78], zoom=3, draw_export=True)
-
-    # --- Add Multiple Basemaps ---
-    basemaps = [
-        "HYBRID", "ROADMAP", "TERRAIN", "SATELLITE",
-        "Esri.WorldImagery", "Esri.WorldTopoMap", "Esri.WorldShadedRelief",
-        "Esri.NatGeoWorldMap", "Esri.OceanBasemap",
-        "CartoDB.Positron", "CartoDB.DarkMatter",
-        "Stamen.Terrain", "Stamen.Watercolor",
-        "OpenStreetMap",
-    ]
-    for b in basemaps:
-        try:
-            m.add_basemap(b)
-        except Exception:
-            pass
-
-    # -------------------------------
-    # Boundaries & Grid
-    # -------------------------------
-    countries = ee.FeatureCollection("USDOS/LSIB_SIMPLE/2017")
-    m.addLayer(
-        countries.style(**{"color": "black", "fillColor": "00000000", "width": 1}),
-        {}, "Country Boundaries"
-    )
-
-    states = ee.FeatureCollection("FAO/GAUL_SIMPLIFIED_500m/2015/level1")
-    m.addLayer(
-        states.style(**{"color": "purple", "fillColor": "00000000", "width": 0.5}),
-        {}, "State/Province Boundaries"
-    )
-
-    graticule = geemap.latlon_grid(5.0, region=ee.Geometry.Rectangle([-180, -90, 180, 90]))
-    m.addLayer(graticule.style(**{"color": "gray", "width": 0.5}), {}, "Lat/Lon Grid")
-
-    # -------------------------------
-    # Datasets
-    # -------------------------------
-    soil = ee.Image("OpenLandMap/SOL/SOL_CLAY-WFRACTION_USDA-4B1C_M/v01").select("b200")
-    soil_vis = {"min": 0, "max": 60, "palette": ["yellow", "brown", "red"]}
-    m.addLayer(soil, soil_vis, "Soil Clay (200cm)")
-
-    dem = ee.Image("USGS/SRTMGL1_003")
-    dem_vis = {"min": 0, "max": 4000, "palette": ["blue", "green", "brown", "white"]}
-    m.addLayer(dem, dem_vis, "Topography (SRTM DEM)")
-
-    seismic = ee.Image("GEM/2015/GlobalSeismicHazard").select("b0")  # use band b0
-    m.addLayer(seismic, {"min": 0, "max": 1, "palette": ["white", "red"]}, "Seismic Hazard")
-
-    water = ee.Image("JRC/GSW1_4/GlobalSurfaceWater").select("occurrence")
-    flood_vis = {"min": 0, "max": 100, "palette": ["white", "blue"]}
-    m.addLayer(water, flood_vis, "Flood Hazard")
-
-    landcover = ee.Image("ESA/WorldCover/v200/2021")
-    landcover_vis = {
-        "bands": ["Map"], "min": 10, "max": 100,
-        "palette": [
-            "006400", "ffbb22", "ffff4c", "f096ff", "fa0000",
-            "b4b4b4", "f0f0f0", "0064c8", "0096a0", "00cf75"
-        ]
-    }
-    m.addLayer(landcover, landcover_vis, "Landcover 2021")
-
-    # -------------------------------
-    # Drawing Instructions
-    # -------------------------------
-    st.markdown("👉 Use the **drawing tool** (polygon/rectangle) on the map to select a region.")
-    m.add_draw_control(polyline=False, circle=False, circlemarker=False, rectangle=True, polygon=True)
-    m.to_streamlit(height=700, responsive=True)
-
-    # -------------------------------
-    # ROI Analysis
-    # -------------------------------
-    if m.user_roi is not None:
-        roi = m.user_roi
-        st.success("✅ Polygon selected!")
-
-        def safe_get(val):
-            try:
-                return round(val, 2) if val is not None else "N/A"
-            except Exception:
-                return "N/A"
-
-        # Soil
-        soil_val = soil.reduceRegion(
-            ee.Reducer.mean(), roi, 1000, 1e9
-        ).get("b200").getInfo()
-
-        # Elevation
-        elev_val = dem.reduceRegion(
-            ee.Reducer.mean(), roi, 1000, 1e9
-        ).get("elevation").getInfo()
-
-        # Seismic
-        seismic_val = seismic.reduceRegion(
-            ee.Reducer.mean(), roi, 5000, 1e9
-        ).get("b0").getInfo()
-
-        # Flood
-        flood_val = water.reduceRegion(
-            ee.Reducer.mean(), roi, 30, 1e9
-        ).get("occurrence").getInfo()
-
-        # Landcover Histogram
-        lc_stats = landcover.reduceRegion(
-            reducer=ee.Reducer.frequencyHistogram(),
-            geometry=roi,
-            scale=30,
-            maxPixels=1e9
-        ).get("Map").getInfo()
-
-        # -------------------------------
-        # UI Outputs
-        # -------------------------------
-        st.subheader("📊 Regional Data Summary")
-        st.write(f"**Average Clay (200cm):** {safe_get(soil_val)} %")
-        st.write(f"**Average Elevation:** {safe_get(elev_val)} m")
-        st.write(f"**Seismic Hazard (PGA):** {safe_get(seismic_val)} g")
-        st.write(f"**Flood Occurrence Probability:** {safe_get(flood_val)} %")
-
-        # Landcover chart
-        if lc_stats:
-            labels = [str(k) for k in lc_stats.keys()]
-            values = list(lc_stats.values())
-            fig, ax = plt.subplots(figsize=(6, 4))
-            ax.pie(values, labels=labels, autopct="%1.1f%%", startangle=90)
-            ax.set_title("Landcover Distribution")
-            st.pyplot(fig)
-
-        # Soil histogram
-        soil_hist = soil.reduceRegion(
-            reducer=ee.Reducer.histogram(maxBuckets=10),
-            geometry=roi,
-            scale=1000,
-            maxPixels=1e9
-        ).get("b200").getInfo()
-        if soil_hist:
-            fig, ax = plt.subplots(figsize=(6, 4))
-            ax.bar(
-                soil_hist["bucketMeans"], soil_hist["histogram"],
-                width=2, color="brown", alpha=0.7
-            )
-            ax.set_xlabel("Clay fraction (%)")
-            ax.set_ylabel("Pixel count")
-            ax.set_title("Soil Clay Distribution")
-            st.pyplot(fig)
-
-        # -------------------------------
-        # Save to soil_json for reports
-        # -------------------------------
-        if "soil_json" not in st.session_state:
-            st.session_state["soil_json"] = {}
-
-        st.session_state["soil_json"].update({
-            "Soil": f"{safe_get(soil_val)} %",
-            "Elevation": f"{safe_get(elev_val)} m",
-            "Seismic Hazard": f"{safe_get(seismic_val)} g",
-            "Flood Probability": f"{safe_get(flood_val)} %",
-            "Landcover Stats": lc_stats if lc_stats else {}
-        })
-        st.success("📑 Data saved to soil_json for report integration!")
-
-    else:
-        st.warning("⚠️ No polygon selected yet.")
-
 
 # GeoMate Ask (RAG) — simple chat with memory per site and auto-extract numeric values
 def rag_page():