This time it will work

app.py

@@ -6,8 +6,8 @@ learn = load_learner('model.pth')
 def classify_image(img):
     celebrity_name,_,probs = learn.predict(img)
     results = dict(zip(list(learn.dls.vocab),probs))
-    best_results = sorted(A, key=A.get, reverse=True)[:5]
-    probabilities = {key: A[key] for key in best_results}
+    best_results = sorted(results, key=results.get, reverse=True)[:5]
+    probabilities = {key: results[key] for key in best_results}
     return {probabilities}
 
 image = gr.inputs.Image(shape=(224,224))