use Examples helper component to load examples

app.py

@@ -3,13 +3,10 @@ from utils.predict import predict, predict_batch
 import os
 import glob
 
-##Create Dataset for loading examples
+##Create list of examples to be loaded
 example_list = glob.glob("examples/set2/*")
 example_list = list(map(lambda el:[el], example_list))
 
-def load_example(image):
-    return image[0]
-
 demo = gr.Blocks()
 
 with demo:
@@ -53,12 +50,8 @@ with demo:
             gr.Markdown("**Examples:**")
             gr.Markdown("The model is trained to classify images belonging to the following classes:")
 
-            # with gr.Column():
-            #     gr.Examples("examples/set2", [input_image], output_label, predict, cache_examples=True)
-
             with gr.Column():
-                examples = gr.components.Dataset(components=[input_image], samples=example_list, type='values')
-                examples.click(load_example, examples, input_image)
+                gr.Examples(examples_list, [input_image], output_label, predict, cache_examples=True)
         
     
     compute_button.click(predict_batch, inputs=input_image, outputs=[output_plot,output_df])