Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 import datetime
+import time
 
 # --- Simulate Data ---
 def simulate_data(n=10, faults=True):
@@ -74,23 +75,29 @@ def display_charts(df):
 
 # --- Streamlit App ---
 st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide")
-st.title("📡 Vedavathi Smart Pole Monitoring - PoC Simulator")
+st.title("📡 Vedavathi Smart Pole Monitoring - Dynamic Stream")
 
-st.sidebar.header("🛠️ Simulation Controls")
-num_poles = st.sidebar.slider("Number of Poles", min_value=5, max_value=50, value=10)
+# Sidebar Controls
+st.sidebar.header("🛠️ Simulation Settings")
+num_poles = st.sidebar.slider("Number of Poles", 5, 50, 10)
 simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True)
-
-df = simulate_data(num_poles, simulate_faults)
+refresh_rate = st.sidebar.slider("Refresh Every (seconds)", 5, 60, 10)
 
 st.sidebar.header("📂 Filter Data")
 alert_filter = st.sidebar.multiselect("Alert Level", ["Green", "Yellow", "Red"], default=["Green", "Yellow", "Red"])
 cam_filter = st.sidebar.selectbox("Camera Status", ["All", "Online", "Offline"], index=0)
 
-filtered_df = apply_filters(df, alert_filter, cam_filter)
+# Placeholder for Live Data
+placeholder = st.empty()
 
-display_dashboard(df)
+while True:
+    df = simulate_data(num_poles, simulate_faults)
+    filtered_df = apply_filters(df, alert_filter, cam_filter)
 
-st.subheader("📋 Pole Monitoring Table")
-st.dataframe(filtered_df, use_container_width=True)
+    with placeholder.container():
+        display_dashboard(df)
+        st.subheader("📋 Pole Monitoring Table")
+        st.dataframe(filtered_df, use_container_width=True)
+        display_charts(df)
 
-display_charts(df)
+    time.sleep(refresh_rate)