Update app.py

app.py

@@ -33,10 +33,11 @@ xgb = xgboost.XGBRegressor(
 xgb.fit(X, Y)
 
 predictions = list(xgb.predict(data))
+predictions = [round(item, 2) for item in predictions]
 
 output = pd.Series(data=predictions, index=data.index, name="XGB_Score")
 df_total = pd.concat([data, output], axis=1)
-df_total['XGB_Score'] = round(df_total['XGB_Score'], 2)
+df_total.rename_axis('Gene').reset_index()
 
 df_total = df_total[['XGB_Score', 'mousescore_Exomiser',
  'SDI', 'Liver_GTExTPM',  'pLI_ExAC',