Adding exmaples

app.py

@@ -15,12 +15,7 @@ labels = [x for x in response.text.split("\n") if x != ""]
 model = pull_from_hub(repo_id="Dimitre/mobilenet_v3_small")
 
 def preprocess(image):
-    print(image)
-    print("***********")
     image = image.reshape((-1, 224, 224, 3))
-    print(image)
-    print("***********")
-    print(image / 255.)
     return image / 255.
 
 def postprocess(prediction):
@@ -28,11 +23,12 @@ def postprocess(prediction):
 
 def predict_fn(image):
     image = preprocess(image)
-    prediction = model([image])
+    prediction = model(image)
     scores = postprocess(prediction)
     return scores
 
 iface = gr.Interface(fn=predict_fn, 
                      inputs=gr.Image(shape=(224, 224)), 
-                     outputs=gr.Label(num_top_classes=5))
+                     outputs=gr.Label(num_top_classes=5), 
+                     examples=["apples.jpeg", "banana.jpeg", "car.jpeg"])
 iface.launch()