Update app.py

app.py

@@ -86,7 +86,7 @@ output_label = gr.outputs.Label(label='Classification results', num_top_classes=
 
 title = "XAI - Integrated gradients"
 description = "Playground: Integrated gradients for a ResNet model trained on Imagenet dataset. Tools: Alibi, TF, Gradio."
-examples = [['./cat.jpg', 'random'],['./dog.jpg', 'random']]
+examples = [['./cat.jpg', 'blur'],['./dog.jpg', 'random']]
 article="<p style='text-align: center'><a href='https://github.com/mawady/colab-recipes-cv' target='_blank'>Colab recipes for computer vision - Dr. Mohamed Elawady</a></p>"
 iface = gr.Interface(
     fn=do_process,