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app.py

@@ -52,10 +52,10 @@ def predict_sales():
       input_data = pd.DataFrame([sample])
 
       # Make prediction (get log_price)
-      predicted_sales = xgb_model.predict(input_data)[0]
+      sales_prediction = xgb_model.predict(input_data)[0]
 
       # Return the prediction
-      return jsonify({'Sales': predicted_sales.tolist()})
+      return jsonify({'Sales': sales_prediction.tolist()})
     except Exception as e:
       print(f"Error in prediction: {e}")
       return jsonify({'error': str(e)})