Update app.py

app.py

@@ -8,7 +8,7 @@ laptop_df = laptop_df.fillna(0)
 user_df = user_df.fillna(0)
 
 # Create a Surprise Dataset
-reader = Reader(rating_scale=(1, 5))
+reader = Reader(rating_scale=(0, 5))
 data = Dataset.load_from_df(user_df[['User_ID', 'Laptop_ID', 'Rating']], reader)
 
 from surprise.model_selection import train_test_split