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app.py

@@ -53,6 +53,10 @@ def predict_sales():
         # Convert to DataFrame
         input_data = pd.DataFrame(sales_data)
 
+        # Add Store_Id if not present (model expects it but doesn't use it)
+        if 'Store_Id' not in input_data.columns:
+            input_data['Store_Id'] = 'DUMMY_STORE'
+
         # Predict
         prediction = model.predict(input_data).tolist()[0]