Update app.py

app.py

@@ -102,7 +102,6 @@ if start_date_pred and end_date_pred:
     smape_dnn = 100 * np.mean(np.abs(p_real - p_pred_dnn) / ((np.abs(p_real) + np.abs(p_pred_dnn)) / 2))
     rmse_dnn = np.sqrt(np.mean((p_real - p_pred_dnn) ** 2))
   
-
     mae_lear = np.mean(np.abs(p_real - p_pred_lear))
     smape_lear = 100 * np.mean(np.abs(p_real - p_pred_lear) / ((np.abs(p_real) + np.abs(p_pred_lear)) / 2))
     rmse_lear = np.sqrt(np.mean((p_real - p_pred_lear) ** 2))