Update app.py

app.py

@@ -5,13 +5,14 @@ model = from_pretrained_keras("NikiTricky/resnet50-food101")
 
 def classify_image(inp):
   print("Classifying image...")
+    
   inp = inp.reshape((-1, 224, 224, 3))
   inp = inp/255
   prediction = model.predict(inp)[0]
-  print(prediction, model.config)
+
   confidences = {model.config['id2label'][str(i)]: float(prediction[i]) for i in range(101)}
   return confidences
 
 gr.Interface(fn=classify_image, 
              inputs=gr.Image(shape=(224, 224)),
-             outputs=gr.Label(num_top_classes=3)).launch()
+             outputs=gr.Label(num_top_classes=5)).launch()