Update app.py

app.py

@@ -11,7 +11,7 @@ learn = load_learner('rps_model.pkl')
 
 categories = ('paper', 'rock', 'scissors')
 
-def classify_images(img):
+def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
@@ -24,7 +24,7 @@ def determine_winner(user_choice, computer_choice):
         return "Computer won!"
 
 def play_game(img):
-    user_probs = classify_images(img)
+    user_probs = classify_image(img)
     user_choice = max(user_probs, key=user_probs.get)
     computer_choice = random.choice(categories)
     winner = determine_winner(user_choice, computer_choice)