Update app.py

app.py

@@ -120,7 +120,7 @@ def inference(wants_gradcam, n_gradcam, target_layer_number, transparency, wants
 
 title = "CIFAR10 trained on Custom ResNet Model with GradCAM"
 description = "A simple Gradio interface to infer on ResNet model, and get GradCAM results"
-examples = [[None, None, None, None, None, None, 'examples/test_'+str(i)+'.jpg', None] for i in range(10)]
+examples = [[None, None, None, None, None, None, 'test_'+str(i)+'.jpg', None] for i in range(10)]
 
 demo = gr.Interface(inference,
                     inputs = [gr.Checkbox(False, label='Do you want to see GradCAM outputs?'),