rm closest leaf samples

app.py

@@ -399,8 +399,8 @@ with gr.Blocks(theme='sudeepshouche/minimalist') as demo:
                 #segment_button.click(segment_image, inputs=input_image, outputs=segmented_image)
                 classify_image_button.click(classify_image, inputs=[original_image,model_name], outputs=class_predicted)
                 # generate_exp.click(exp_image, inputs=[input_image,model_name,explain_method,sampling_size], outputs=[exp1,exp2,exp3,exp4,exp5]) #
-                with gr.Accordion('Closest Leaves Images'):
-                    gr.Markdown("5 closest leaves")
+                # with gr.Accordion('Closest Leaves Images'):
+                #     gr.Markdown("5 closest leaves")
                 with gr.Accordion("Class Distribution of Closest Samples "):
                     gr.Markdown("Visualize class distribution of top-k closest samples in our dataset")
                     with gr.Column():