Update app.py

app.py

@@ -14,10 +14,6 @@ from function import get_fish_qty, get_estat, dr_prediction_deployment, predicti
 import yaml
 with open('config.yaml') as file:
     config = yaml.safe_load(file.read())
-
-
-print('out put')
-pd.DataFrame({'A':[1]}).to_pickle('data.pickle')
     
 def retrain():
     get_prediction_result(retrain = True)
@@ -93,6 +89,8 @@ def get_model_infomation():
     return model_info, feature_impact
 
 with gr.Blocks() as electoric_ploting:
+    print('out put')
+    pd.DataFrame({'A':[1]}).to_pickle('data.pickle')
     gr.Markdown(
                             """
                             # その日の魚の卸売り量から、来月の家計データ月別支出の電気代を予測するAI