Update app.py

app.py

@@ -17,7 +17,6 @@ learn = load_learner('resnet50_10epochs.pkl')
 categories = ['city','town','countryside','ocean']
 
 def classify_image(img):
-    img = img.resize((128,128))
     pred, idx, probs = learn.predict(img)
     ret = dict(
         zip(categories,
@@ -29,8 +28,8 @@ def classify_image(img):
 # %% ../app.ipynb 8
 im_size = 128
 
-#image = gr.inputs.Image(shape=(im_size,im_size))
-#label = gr.outputs.Label()
+image = gr.Image(shape=(im_size,im_size))
+label = gr.Label()
 examples = ['city.jpg',
             'town.jpg',
             'countryside.jpg',