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import streamlit as st | |
import pandas as pd | |
from modules.simulator import simulate_data | |
from modules.filters import apply_filters | |
from modules.visuals import display_dashboard, display_charts, display_map_with_alerts | |
from modules.ai_engine import AIEngine | |
st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide") | |
st.title("π‘ Vedavathi Smart Pole Monitoring - Heatmap AI Simulator") | |
# Sidebar Controls | |
st.sidebar.header("π οΈ Simulation Controls") | |
num_poles = st.sidebar.slider("Number of Poles", min_value=10, max_value=500, value=50) | |
simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True) | |
# Simulate Data | |
df = simulate_data(num_poles, simulate_faults) | |
# AI-based Health Prediction | |
ai = AIEngine() | |
df = ai.predict_health(df) | |
# Sidebar Filters | |
st.sidebar.header("π 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) | |
df = apply_filters(df, alert_filter, cam_filter) | |
# Dashboard UI | |
display_dashboard(df) | |
st.subheader("π Live Pole Map") | |
display_map_with_alerts(df) | |
st.subheader("π Energy + Sensor Charts") | |
display_charts(df) | |