diff --git a/infer/lib/train/utils.py b/infer/lib/train/utils.py
index 88e60e3..bad2c78 100644
--- a/infer/lib/train/utils.py
+++ b/infer/lib/train/utils.py
@@ -445,7 +445,7 @@ class HParams:
 
     def values(self):
         return self.__dict__.values()
-    
+
     def copy(self):
         return deepcopy(self)
 
diff --git a/rvc/f0/fcpe.py b/rvc/f0/fcpe.py
index d60a1fc..d0d9410 100644
--- a/rvc/f0/fcpe.py
+++ b/rvc/f0/fcpe.py
@@ -23,7 +23,9 @@ class FCPE(F0Predictor):
             device,
         )
 
-        from torchfcpe import spawn_bundled_infer_model  # must be imported at here, or it will cause fairseq crash on training
+        from torchfcpe import (
+            spawn_bundled_infer_model,
+        )  # must be imported at here, or it will cause fairseq crash on training
 
         self.model = spawn_bundled_infer_model(self.device)
 
diff --git a/web.py b/web.py
index bb2874b..e43ac2c 100644
--- a/web.py
+++ b/web.py
@@ -72,6 +72,7 @@ if config.dml == True:
         return res
 
     import fairseq
+
     fairseq.modules.grad_multiply.GradMultiply.forward = forward_dml
 
 i18n = I18nAuto()