Update app.py

app.py

@@ -53,7 +53,7 @@ def plot_anomalies(df_test_value, data, anomalies):
     df_subset = data.iloc[anomalous_data_indices]
     fig, ax = plt.subplots(figsize=(12, 6))
     data.plot(legend=False, ax=ax)
-    df_subset.plot(legend=False, ax=ax, color="r", marker="o", linestyle="None")
+    df_subset.plot(legend=False, ax=ax, color="r")
     ax.set_xlabel("Time")
     ax.set_ylabel("Value")
     ax.set_title("Anomalous Data Points")
@@ -65,24 +65,13 @@ 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
     plot2, anomalous_indices = plot_anomalies(df_test_value, data, anomalies)
-    
-    # Update Gradio interface to show the resulting plot
     return plot2, anomalous_indices
 
-outputs = gr.outputs.Image()
+outputs = [gr.outputs.Image(), "text"]
 
 iface = gr.Interface(
     fn=master,
@@ -93,5 +82,5 @@ iface = gr.Interface(
     description="Anomaly detection of timeseries data."
 )
 
+# Display the interface
 iface.launch()
-