update environment

app.py

@@ -17,7 +17,7 @@ categories = ('Dog', 'Cat')
 
 def classify_image(img):
   # We are saying that this predictions returns: the prediction, its index and the prediction probability
-  pred,idx,probs = learn.predict(img)
+  pred,idx,probs = learner.predict(img)
 
   # Here we return a dictionary with categories as keys and its probabilities as values
   return dict(zip(categories, map(float, probs)))