Event listener

app.py

@@ -87,7 +87,6 @@ with gr.Blocks(title=title) as demo:
         n_estimators = gr.inputs.Slider(5, 150, 5, default=100, label="Number of Trees")
         min_samples_leaf = gr.inputs.Slider(1, 30, 5, default=1, label="Minimum number of samples to create a leaf")
 
-    btn = gr.Button(label="Run")
     
     fig_mdi = gr.Plot(label="Mean Decrease Impurity (MDI)")
 
@@ -95,7 +94,10 @@ with gr.Blocks(title=title) as demo:
         fig_perm_train = gr.Plot(label="Permutation Importance (Train)")
         fig_perm_test = gr.Plot(label="Permutation Importance (Test)")
     
-    btn.click(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
+    seed.change(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
+    n_cat.change(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
+    n_estimators.change(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
+    min_samples_leaf.change(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
     demo.load(fn=app_fn, outputs=[fig_mdi, fig_perm_train, fig_perm_test], inputs=[seed, n_cat, n_estimators, min_samples_leaf])
 
 demo.launch()