a

app.py

@@ -57,18 +57,22 @@ def classify_image(img):
 
 image = gr.inputs.Image(shape=(256, 256))
 label = gr.outputs.Label(num_top_classes=5) 
-examples = ['images/airplane_002.jpg',
-            'images/airport_002.jpg',
-            'images/beach_002.jpg',
-            'images/bridge_679.jpg',
-            'images/cloud_227.jpg',
-            'images/forest_235.jpg',
-            'images/rectangular_farmland_218.jpg',
-            'images/meadow_019.jpg',
-            'images/industrial_area_003.jpg',
-            'images/ship_018.jpg',
-            'images/freeway_159.jpg',
-            'images/airport_020.jpg',
+examples = ['images/right/roundabout_028.jpg',
+            'images/right/airplane_002.jpg',
+            'images/right/baseball_diamond_018.jpg',
+            'images/right/meadow_019.jpg',
+            'images/right/ship_002.jpg',
+            'images/right/airport_002.jpg',
+            'images/right/beach_002.jpg',
+            # 'images/right/bridge_679.jpg',
+            # 'images/right/cloud_227.jpg',
+            # 'images/right/forest_235.jpg',
+            # 'images/right/rectangular_farmland_218.jpg',
+            # 'images/right/meadow_019.jpg',
+            # 'images/right/industrial_area_003.jpg',
+            # 'images/right/ship_018.jpg',
+            # 'images/freeway_159.jpg',
+            'images/wrong/airport_020.jpg',
             ]
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)