Event listener

app.py

@@ -138,7 +138,6 @@ with gr.Blocks() as demo:
         n_estimators = gr.inputs.Slider(minimum=1, maximum=100, step=1, default=10, label="Number of Estimators")
         max_depth = gr.inputs.Slider(minimum=1, maximum=100, step=1, default=3, label="Max Depth")
         random_state = gr.inputs.Slider(minimum=0, maximum=100, step=1, default=0, label="Random State")
-    btn = gr.Button(label="Run")
     with gr.Row():
         plot1 = gr.Plot(label="Origianl Data")
         plot2 = gr.Plot(label="Truncated Date")
@@ -146,7 +145,11 @@ with gr.Blocks() as demo:
         plot3 = gr.Plot(label="Naive Bayes Decision Boundary")
         plot4 = gr.Plot(label="Extra Trees Decision Boundary")
     
-    btn.click(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
+    factor.change(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
+    noise.change(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
+    n_estimators.change(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
+    max_depth.change(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
+    random_state.change(app_fn, outputs=[plot1, plot2, plot3, plot4], inputs=[factor, random_state, noise, n_estimators, max_depth])
     demo.load(app_fn, inputs=[factor, random_state, noise, n_estimators, max_depth], outputs=[plot1, plot2, plot3, plot4])
 
 demo.launch()