diff --git a/model/pre_length.py b/model/pre_length.py
index 0ca8949..6795edd 100644
--- a/model/pre_length.py
+++ b/model/pre_length.py
@@ -38,7 +38,7 @@ def remove_module_prefix(state_dict):
 if __name__ == '__main__':
     device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
     model = Multitasking().to(device)
-    state_dict = (torch.load("../result_length/best_model.pth", map_location=device))
+    state_dict = (torch.load("./result_length/best_model.pth", map_location=device))
     new_state_dict = remove_module_prefix(state_dict)
     model.load_state_dict(new_state_dict)
 
@@ -47,6 +47,6 @@ def remove_module_prefix(state_dict):
         transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
     ])
 
-    img_folder = "../input/testA"
-    output_folder = "../input/out_length"
+    img_folder = "./input/testA"
+    output_folder = "./input/out_length"
     predict_and_save(model, img_folder, val_transform, device, output_folder)