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app.py

@@ -58,7 +58,7 @@ def predict_sales_price():
         X = pd.DataFrame([row])
 
         # If your model pipeline expects numeric types for some fields, coerce safely:
-        for col in ["Product_Weight", "Product_Allocated_Area", "Product_MRP", "Store_Age"]:
+        for col in ["Product_Weight", "Product_Allocated_Area", "Product_MRP", "Store_Establishment_Year"]:
             if col in X.columns:
                 X[col] = pd.to_numeric(X[col], errors="coerce")