Update app.py

The folder names for new test images and the mis classified images are corrected here

app.py

@@ -92,7 +92,7 @@ def classify_image(input_image, top_classes=3, grad_cam=True, target_layers=[2,
 demo1 = gr.Interface(
     fn=classify_image,
     inputs=[
-        gr.Image(shape=(32, 32), label="Input Image", value='examples/cat.jpg'),
+        gr.Image(shape=(32, 32), label="Input Image", value='test_images/cat.jpg'),
         gr.Slider(1, 10, value=3, step=1, label="Number of Top Classes"),
         gr.Checkbox(label="Show GradCAM?", value=True),
         #gr.Slider(-4, -1, value=-2, step=1, label="Which Layer?"),
@@ -101,13 +101,13 @@ demo1 = gr.Interface(
     ],
     outputs=[gr.Gallery(label="Output Images", columns=2, rows=2),
              gr.Label(label='Top Classes')],
-    examples=[[f'examples/{k}.jpg'] for k in classes.values()]
+    examples=[[f'test_images/{k}.jpg'] for k in classes.values()]
 )
 
 def show_mis_classifications(num_examples=20, grad_cam=True, target_layer=-2, transparency=0.5):
     result = list()
     for index, row in mis_classified_df.iterrows():
-        image = np.asarray(Image.open(f'missed_examples2/{index}.jpg'))
+        image = np.asarray(Image.open(f'misclassified_examples/{index}.jpg'))
         output_image, confidence = classify_image(image, top_classes=1, grad_cam=grad_cam, target_layers=[4+target_layer],
                                                     transparency=transparency)
         truth = row['ground_truths']