Update app.py

app.py

@@ -61,12 +61,9 @@ elif selection == "Make a Prediction":
 
     if submit_button:
         # Construct the input DataFrame
-        input_features = pd.DataFrame([[
-            order_date, ship_date, ship_mode, segment, country, city, state,
-            postal_code, region, category, sub_category, product_name, sales, quantity, discount
+        input_features = pd.DataFrame([[sub_category, sales, quantity, discount
         ]], columns=[
-            'Order Date', 'Ship Date', 'Ship Mode', 'Segment', 'Country', 'City', 'State',
-            'Postal Code', 'Region', 'Category', 'Sub-Category', 'Product Name', 'Sales', 'Quantity', 'Discount'
+            'Sub-Category', 'Sales', 'Quantity', 'Discount'
         ])
         
         # Preprocess and predict (You'll need to adjust this part based on how your model expects input)