Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,22 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+from modules.streamlit_ui import display_video_feed, display_alerts
+from modules.fault_detection import detect_faults
+from modules.utils import load_image
 
-"""
-# Welcome to Streamlit!
+# Streamlit configuration
+st.title("🌞 Solar and Windmill Fault Monitoring System")
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+# Sidebar for simulation controls
+st.sidebar.header("Simulation Controls")
+num_assets = st.sidebar.slider("Number of Assets", min_value=5, max_value=50, value=10)
+simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True)
 
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
+# Display live video feed and detect faults
+video_feed = display_video_feed()
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+# Process frames for fault detection
+faults = detect_faults(video_feed)
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+# Display detected faults as alerts
+if faults:
+    display_alerts(faults)