Update app.py

app.py

@@ -65,10 +65,21 @@ def master(file):
     df_test_value = normalize_data(data)
     # plot input test data
     plot1 = plot_test_data(df_test_value)
+    
+    # Update Gradio interface to show progress message
+    iface.set_interface_inline("""
+    <div style="text-align: center;">
+        <h3>Anomaly detection in progress...</h3>
+    </div>
+    """)
+    
     # predict
     anomalies = get_anomalies(df_test_value)
-    #plot anomalous data points
+    
+    # plot anomalous data points
     plot2 = plot_anomalies(df_test_value, data, anomalies)
+    
+    # Update Gradio interface to show the resulting plot
     return plot2
 
 outputs = gr.outputs.Image()