Added even listeners for sliders - although each makes own plot now.

app.py

@@ -92,7 +92,6 @@ def plot_lda_pca(n_samples = 50, n_features = 4):
 
     return fig
 
-
 title = "2-D projection of Iris dataset using LDA and PCA"
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"# {title}")
@@ -117,8 +116,7 @@ with gr.Blocks(title=title) as demo:
 
         n_features = gr.Slider(value=2, minimum=2, maximum=max_features, step=1, label="n_features")
         
-    btn = gr.Button(value="Run")
-    btn.click(plot_lda_pca, inputs = [n_samples, n_features], outputs= gr.Plot(label='PCA vs LDA clustering') ) # 
-    
+    n_samples.change(plot_lda_pca, inputs = [n_samples, n_features], outputs= gr.Plot(label='PCA vs LDA clustering') ) #
+    n_features.change(plot_lda_pca, inputs = [n_samples, n_features], outputs= gr.Plot(label='PCA vs LDA clustering') ) # 
 
 demo.launch()