Update app.py

app.py

@@ -25,7 +25,7 @@ model.fit(trainset)
 def recommend_laptops(age=None, category=None, gender=None, user_id=None, num_recommendations=5):
     if user_id is not None:
         # Existing user
-        user_ratings = user_df[user_interactions['User_ID'] == user_id]
+        user_ratings = user_df[user_df['User_ID'] == user_id]
         user_unrated_laptops = laptop_df[~laptop_df['Laptop_ID'].isin(user_ratings['Laptop_ID'])]
         user_unrated_laptops['Predicted_Rating'] = user_unrated_laptops['Laptop_ID'].apply(lambda x: model.predict(user_id, x).est)
         recommendations = user_unrated_laptops.sort_values(by='Predicted_Rating', ascending=False).head(num_recommendations)