diff --git a/ieemoo-ai-isempty.py b/ieemoo-ai-isempty.py
index a0a9da2..1313fdf 100755
--- a/ieemoo-ai-isempty.py
+++ b/ieemoo-ai-isempty.py
@@ -38,21 +38,21 @@ sys.path.insert(0, ".")
 
 
 app = Flask(__name__)
-app.use_reloader=False
+#app.use_reloader=False
 
 print("Autor:ieemoo_lx")
 
-def parse_args(model_file="./output/ieemooempty_vit_checkpoint.pth"):
+def parse_args():
     parser = argparse.ArgumentParser()
     parser.add_argument("--img_size", default=600, type=int, help="Resolution size")
     parser.add_argument('--split', type=str, default='overlap', help="Split method")
     parser.add_argument('--slide_step', type=int, default=2, help="Slide step for overlap split")
     parser.add_argument('--smoothing_value', type=float, default=0.0, help="Label smoothing value")
-    parser.add_argument("--pretrained_model", type=str, default=model_file, help="load pretrained model")
+    parser.add_argument("--pretrained_model", type=str, default="../module/ieemoo-ai-isempty/model/now/emptyjudge5_checkpoint.bin", help="load pretrained model")
+    #parser.add_argument("--pretrained_model", type=str, default="./output/ieemooempty_vit_checkpoint.pth", help="load pretrained model")
     opt, unknown = parser.parse_known_args()
     return opt
 
-
 class Predictor(object):
     def __init__(self, args):
         self.args = args
@@ -107,10 +107,9 @@ class Predictor(object):
                 return result
 
 
-model_file ="./output/ieemooempty_checkpoint_good.pth"
-args = parse_args(model_file)
-predictor = Predictor(args)
 
+args = parse_args()
+predictor = Predictor(args)
 
 @app.route("/isempty", methods=['POST'])
 def get_isempty():