Update app.py

app.py

@@ -1,7 +1,9 @@
 import streamlit as st
 import pandas as pd
 import datetime
+import plotly.graph_objects as go
 from difflib import get_close_matches
+import time
 
 # Function to standardize and find the closest column name
 def get_closest_column(columns, target, threshold=0.6):
@@ -61,12 +63,36 @@ def calculate_predicted_grid_load(df, current_time, grid_load_col):
         st.warning("No data found for the current hour. Using default value.")
         return 0  # Default to 0 if no data is found for the given hour
 
-# Display the live clock
+# Display live clock
 def display_clock():
     current_time = datetime.datetime.now()
     st.sidebar.markdown(f"### 🕒 {current_time.strftime('%Y-%m-%d %H:%M:%S')}")
     return current_time
 
+# Create Gauge meter
+def create_gauge(value):
+    fig = go.Figure(go.Indicator(
+        mode="gauge+number",
+        value=value,
+        title={'text': "Grid Load (kW)"},
+        gauge={
+            'axis': {'range': [0, 5000]},
+            'bar': {'color': "lightgray"},
+            'steps': [
+                {'range': [0, 1700], 'color': "lightcoral"},
+                {'range': [1700, 3400], 'color': "lightgreen"},
+                {'range': [3400, 5000], 'color': "red"}
+            ],
+            'threshold': {
+                'line': {'color': "black", 'width': 4},
+                'thickness': 0.75,
+                'value': value
+            }
+        }
+    ))
+    fig.update_layout(margin={'l': 0, 'r': 0, 't': 0, 'b': 0}, height=400)
+    return fig
+
 # Main app
 def main():
     st.title("Optimized EV Charging and Grid Management")
@@ -95,13 +121,19 @@ def main():
     if predicted_grid_load is not None:
         st.write(f"### Predicted Grid Load at {current_time.strftime('%H:%M:%S')}: **{predicted_grid_load:.2f} kW**")
 
+        # Create gauge meter based on grid load
+        st.plotly_chart(create_gauge(predicted_grid_load))
+
         # Evaluate grid status based on the predicted load
         if predicted_grid_load > 3400:
             st.error("Grid is Overloaded! EV Charging Disallowed")
             st.write("🚫 Red Light: EV Charging is Disconnected.")
-        else:
+        elif predicted_grid_load <= 3400 and predicted_grid_load > 1700:
             st.success("Grid is Stable! EV Charging Allowed")
             st.write("✅ Green Light: EV Charging is Active.")
+        else:
+            st.warning("Grid is Low! EV Charging Allowed")
+            st.write("🟠 Light Red Light: EV Charging is Active, but Grid is Low.")
 
         # Calculate available EV slots
         available_capacity = 3400 - predicted_grid_load