Update app.py

app.py

@@ -80,16 +80,26 @@ 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")
 
-fig = px.line(df, x="Timestamp", y="Bandwidth_Usage", color="School", title="Bandwidth Usage Over Time")
-st.plotly_chart(fig)
+col1, col2 = st.columns(2)
 
-st.write("Predicted Bandwidth Allocations:")
-st.table(pd.DataFrame(list(bandwidth_allocation.items()), columns=["School", "Allocated Bandwidth (Mbps)"]))
+with col1:
+    st.subheader("Bandwidth Usage Over Time")
+    fig = px.line(df, x="Timestamp", y="Bandwidth_Usage", color="School")
+    st.plotly_chart(fig, use_container_width=True)
 
-st.write("SDN-based Load Balancing Routes:")
-st.table(pd.DataFrame([(school, ' -> '.join(path)) for school, path in network_routes.items()], columns=["School", "Route"]))
+with col2:
+    st.subheader("Predicted Bandwidth Allocations")
+    st.dataframe(pd.DataFrame(list(bandwidth_allocation.items()), columns=["School", "Allocated Bandwidth (Mbps)"]))
 
-st.write("Detected Anomalies:")
-st.dataframe(anomalies)
+col3, col4 = st.columns(2)
+
+with col3:
+    st.subheader("SDN-based Load Balancing Routes")
+    st.dataframe(pd.DataFrame([(school, ' -> '.join(path)) for school, path in network_routes.items()], columns=["School", "Route"]))
+
+with col4:
+    st.subheader("Detected Anomalies")
+    st.dataframe(anomalies)