Update app.py

app.py

@@ -17,12 +17,22 @@ st.set_page_config(
     initial_sidebar_state="expanded"
 )
 
-# 2. ENHANCED PROFESSIONAL STYLING (Optimized)
+# 2. ENHANCED PROFESSIONAL STYLING (Optimized for Visibility)
 st.markdown("""
     <style>
         @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap');
-        .stApp { background: linear-gradient(135deg, #f8fafc 0%, #f1f5f9 100%); color: #0f172a; font-family: 'Inter', sans-serif; }
         
+        /* Global Text Visibility Fix */
+        .stApp { 
+            background: linear-gradient(135deg, #f8fafc 0%, #f1f5f9 100%); 
+            color: #0f172a !important; 
+            font-family: 'Inter', sans-serif; 
+        }
+        
+        p, span, div, label {
+            color: #0f172a;
+        }
+
         /* METRIC CARDS */
         div[data-testid="stMetric"] {
             background: linear-gradient(135deg, #ffffff 0%, #f8fafc 100%);
@@ -33,7 +43,7 @@ st.markdown("""
         div[data-testid="stMetricValue"] { color: #0f172a !important; font-weight: 800 !important; font-size: 2rem !important; }
         div[data-testid="stMetricLabel"] { color: #334155 !important; font-weight: 600 !important; text-transform: uppercase; font-size: 0.75rem; letter-spacing: 0.05em; }
         
-        /* DATAFRAME */
+        /* DATAFRAME VISIBILITY FIX */
         div[data-testid="stDataFrame"] { border-radius: 8px; overflow: hidden; box-shadow: 0 1px 3px rgba(0,0,0,0.1); }
         div[data-testid="stDataFrame"] div[role="columnheader"] { 
             background: linear-gradient(to bottom, #f8fafc, #f1f5f9) !important; 
@@ -43,14 +53,37 @@ st.markdown("""
             color: #334155 !important; 
         }
         
-        /* SIDEBAR */
-        [data-testid="stSidebar"] { background: linear-gradient(180deg, #1e293b 0%, #0f172a 100%); border-right: 1px solid #334155; }
-        [data-testid="stSidebar"] * { color: #f8fafc !important; }
-        [data-testid="stSidebar"] .stSelectbox label { color: #cbd5e1 !important; }
+        /* SIDEBAR VISIBILITY FIXES */
+        [data-testid="stSidebar"] { 
+            background: linear-gradient(180deg, #1e293b 0%, #0f172a 100%); 
+            border-right: 1px solid #334155; 
+        }
+        [data-testid="stSidebar"] * { 
+            color: #f8fafc !important; 
+        }
+        /* Specific Fix for Input Labels inside Sidebar */
+        [data-testid="stSidebar"] label, [data-testid="stSidebar"] .stMarkdown p {
+            color: #e2e8f0 !important; 
+            font-weight: 600;
+        }
+        /* Fix for Date Input Text inside the white box */
+        [data-testid="stSidebar"] input {
+            color: #0f172a !important;
+        }
+        /* Fix for Selectbox Text inside the white box */
+        [data-testid="stSidebar"] div[data-baseweb="select"] span {
+            color: #0f172a !important;
+        }
+        /* Fix for Link Button */
+        [data-testid="stSidebar"] a {
+            color: #3b82f6 !important;
+            font-weight: 600;
+        }
         
         /* UI ELEMENTS */
         h1 { background: linear-gradient(135deg, #0f172a 0%, #334155 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; font-weight: 800 !important; }
-        h2, h3 { color: #0f172a !important; }
+        h2, h3, h4, h5 { color: #0f172a !important; font-weight: 700 !important; }
+        
         .status-badge { display: inline-flex; align-items: center; padding: 6px 14px; border-radius: 9999px; font-size: 12px; font-weight: 700; text-transform: uppercase; box-shadow: 0 1px 3px rgba(0,0,0,0.1); }
         .bg-red { background: linear-gradient(135deg, #fee2e2 0%, #fecaca 100%); color: #991b1b; }
         .bg-green { background: linear-gradient(135deg, #dcfce7 0%, #bbf7d0 100%); color: #166534; }
@@ -93,13 +126,38 @@ def fetch_coordinates_batch(unique_locations):
         except json.JSONDecodeError:
             pass # File corrupted, start fresh
 
-    # 2. Identify missing locations
+    # 2. Add Hardcoded Pre-fills (High Priority Redundancy)
+    prefills = {
+        ('Gautam Buddha Nagar', 'Uttar Pradesh'): (28.39, 77.65),
+        ('West Jaintia Hills', 'Meghalaya'): (25.55, 92.38),
+        ('West Khasi Hills', 'Meghalaya'): (25.56, 91.29),
+        ('Bijapur', 'Chhattisgarh'): (18.80, 80.82),
+        ('Dhule', 'Maharashtra'): (20.90, 74.77),
+        ('Dhamtari', 'Chhattisgarh'): (20.71, 81.55),
+        ('Udupi', 'Karnataka'): (13.34, 74.75),
+        ('Supaul', 'Bihar'): (26.29, 86.82),
+        ('Puruliya', 'West Bengal'): (23.25, 86.50),
+        ('Mumbai', 'Maharashtra'): (19.0760, 72.8777),
+        ('Pune', 'Maharashtra'): (18.5204, 73.8567),
+        ('Bangalore', 'Karnataka'): (12.9716, 77.5946),
+        ('Bengaluru', 'Karnataka'): (12.9716, 77.5946),
+        ('Chennai', 'Tamil Nadu'): (13.0827, 80.2707),
+        ('Hyderabad', 'Telangana'): (17.3850, 78.4867),
+        ('Kolkata', 'West Bengal'): (22.5726, 88.3639),
+        ('Delhi', 'Delhi'): (28.7041, 77.1025),
+        ('Shimla', 'Himachal Pradesh'): (31.1048, 77.1734)
+    }
+    for k, v in prefills.items():
+        if k not in coords_map:
+            coords_map[k] = v
+            
+    # 3. Identify missing locations
     missing_locs = [loc for loc in unique_locations if loc not in coords_map]
     
     if not missing_locs:
         return coords_map
 
-    # 3. Dynamic Fetching for missing
+    # 4. Dynamic Fetching for missing
     progress_text = "📡 New locations found. Fetching coordinates..."
     my_bar = st.progress(0, text=progress_text)
     
@@ -133,7 +191,7 @@ def fetch_coordinates_batch(unique_locations):
             
     my_bar.empty()
     
-    # 4. Save back to JSON if new data fetched
+    # 5. Save back to JSON if new data fetched
     if updated:
         # Convert keys to string "District|State" for JSON compatibility
         save_data = {f"{k[0]}|{k[1]}": v for k, v in coords_map.items()}