Add failing example

app.py

@@ -17,13 +17,8 @@ def classify_image(img):
     is_tori_logo, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-examples = [
-    'images/dog.jpeg', 
-    'images/cat.jpeg', 
-    'images/face.jpg', 
-    'images/profile-avatar.jpeg',
-    'images/tori-logo.png'    
-]
+image_dir = 'images'
+examples = map(lambda image_name: f"{image_dir}/{image_name}", os.listdir(image_dir))
 
 image = gr.Image()
 label = gr.Label()