Update app.py

app.py

@@ -118,6 +118,7 @@ with gr.Blocks(title=title, theme=gr.themes.Default(font=[gr.themes.GoogleFont("
     
 
     r = 0.1
+    changed = False
     real_cov = toeplitz(r ** np.arange(n_features))
     coloring_matrix = cholesky(real_cov)
     gr.Markdown(" **[Demo is based on sklearn docs](https://scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html)**")
@@ -126,13 +127,16 @@ with gr.Blocks(title=title, theme=gr.themes.Default(font=[gr.themes.GoogleFont("
     # output = gr.Textbox(label="Output Box")
     # greet_btn.click(fn=greet, inputs=name, outputs=output)
     gr.Label(value="Comparison of Covariance Estimators")
-    # if min_slider_samples_range:
-    min_slider_samples_range.change(generate_plots, inputs=[min_slider_samples_range,max_slider_samples_range], outputs= gr.Plot() )
+    if min_slider_samples_range and changed = False:
+        min_slider_samples_range.change(generate_plots, inputs=[min_slider_samples_range,max_slider_samples_range], outputs= gr.Plot() )
+        changed =True
 
-    # elif max_slider_samples_range:
-    max_slider_samples_range.change(generate_plots, inputs=[min_slider_samples_range,max_slider_samples_range], outputs= gr.Plot() )
-    # else:
-      # pass
+    elif max_slider_samples_range and changed = False:
+        max_slider_samples_range.change(generate_plots, inputs=[min_slider_samples_range,max_slider_samples_range], outputs= gr.Plot() )
+        changed = True
+    
+    else:
+      pass
     
 
 demo.launch()