Update app.py

app.py

@@ -87,29 +87,35 @@ network_routes = sdn_load_balancer(graph, demand_predictions)  # Compute SDN-bas
 anomalies = detect_anomalies(df)  # Detect anomalies
 
 # Streamlit UI
-st.set_page_config(layout="wide")
-st.title("Smart Network Resource Allocation with SDN Load Balancing (Open Source)")
+st.set_page_config(layout="wide", page_title="Smart Network Allocation", page_icon="🌐")
+st.title("📡 Smart Network Resource Allocation with SDN Load Balancing")
+st.markdown("---")
 
-col1, col2 = st.columns(2)
+col1, col2 = st.columns([2, 1])
 
 with col1:
-    st.subheader("Bandwidth Usage Over Time")
-    fig = px.line(df, x="Timestamp", y="Bandwidth_Usage", color="School")
+    st.subheader("📊 Bandwidth Usage Over Time")
+    fig = px.line(df, x="Timestamp", y="Bandwidth_Usage", color="School", template="plotly_dark")
     st.plotly_chart(fig, use_container_width=True)
 
 with col2:
-    st.subheader("Predicted Bandwidth Allocations")
+    st.subheader("🔍 Predicted Bandwidth Allocations")
     st.dataframe(pd.DataFrame(list(bandwidth_allocation.items()), columns=["School", "Allocated Bandwidth (Mbps)"]))
 
-col3, col4 = st.columns(2)
+st.markdown("---")
+
+col3, col4 = st.columns([1, 1])
 
 with col3:
-    st.subheader("SDN-based Load Balancing Routes (Energy Efficient)")
+    st.subheader("🔗 SDN-based Load Balancing Routes (Energy Efficient)")
     st.dataframe(pd.DataFrame([(school, ' -> '.join(path)) for school, path in network_routes.items()], columns=["School", "Route"]))
 
 with col4:
-    st.subheader("Detected Anomalies")
+    st.subheader("⚠️ Detected Anomalies")
     if anomalies.empty:
-        st.write("No anomalies detected")
+        st.success("No anomalies detected")
     else:
         st.dataframe(anomalies)
+
+st.markdown("---")
+st.caption("Developed for optimized network performance and efficient bandwidth allocation ⚡")