Update app.py

app.py

@@ -10,18 +10,12 @@ SITES = {
     "Hyderabad": [17.385044, 78.486671],
     "Gadwal": [16.2351, 77.8052],
     "Kurnool": [15.8281, 78.0373],
-    "Ballari": [12.9716, 77.5946]
+    "Ballari": [15.1394, 76.9214]  # Corrected Ballari location
 }
 
 # ---- Helper Functions ----
-def generate_location(base_lat, base_lon):
-    return [
-        base_lat + random.uniform(-0.02, 0.02),
-        base_lon + random.uniform(-0.02, 0.02)
-    ]
-
 def simulate_pole(pole_id, site_name):
-    lat, lon = generate_location(*SITES[site_name])
+    lat, lon = SITES[site_name]  # FIXED: Use constant location without random offset
     solar_kwh = round(random.uniform(3.0, 7.5), 2)
     wind_kwh = round(random.uniform(0.5, 2.0), 2)
     power_required = round(random.uniform(4.0, 8.0), 2)
@@ -65,7 +59,7 @@ def simulate_pole(pole_id, site_name):
 
 # ---- Streamlit UI ----
 st.set_page_config(page_title="Smart Pole Monitoring", layout="wide")
-st.title("🌍 Smart Renewable Pole Monitoring - Multi-Site")
+st.title("\U0001F30D Smart Renewable Pole Monitoring - Multi-Site")
 
 selected_site = st.text_input("Enter site to view (Hyderabad, Gadwal, Kurnool, Ballari):", "Hyderabad")
 
@@ -82,7 +76,7 @@ if selected_site in SITES:
     col3.metric("Power Insufficiencies", site_df[site_df['Power Status'] == 'Insufficient'].shape[0])
 
     # Table View
-    st.subheader(f"📋 Pole Data Table for {selected_site}")
+    st.subheader(f"\U0001F4CB Pole Data Table for {selected_site}")
     with st.expander("Filter Options"):
         alert_filter = st.multiselect("Alert Level", options=site_df['Alert Level'].unique(), default=site_df['Alert Level'].unique())
         camera_filter = st.multiselect("Camera Status", options=site_df['Camera Status'].unique(), default=site_df['Camera Status'].unique())
@@ -91,22 +85,22 @@ if selected_site in SITES:
     st.dataframe(filtered_df, use_container_width=True)
 
     # Charts
-    st.subheader("📊 Energy Generation Comparison")
+    st.subheader("\U0001F4CA Energy Generation Comparison")
     st.bar_chart(site_df[['Solar (kWh)', 'Wind (kWh)']].mean())
 
-    st.subheader("📈 Tilt vs. Vibration")
+    st.subheader("\U0001F4C8 Tilt vs. Vibration")
     st.scatter_chart(site_df[['Tilt Angle (°)', 'Vibration (g)']])
 
     # ---- Map Section with Tooltip ----
-    st.subheader("📍 Pole Alert Levels (Green, Yellow, Red)")
+    st.subheader("\U0001F4CD Pole Alert Levels (Green, Yellow, Red)")
 
     def alert_level_to_color(alert_level):
         if alert_level == 'Red':
-            return [255, 0, 0, 160]  # Red
+            return [255, 0, 0, 160]
         elif alert_level == 'Yellow':
-            return [255, 255, 0, 160]  # Yellow
+            return [255, 255, 0, 160]
         else:
-            return [0, 255, 0, 160]  # Green
+            return [0, 255, 0, 160]
 
     if not site_df.empty:
         site_df = site_df.copy()