diff --git a/ChatTTS/core.py b/ChatTTS/core.py
index 5824e8f96..bcbb804d1 100644
--- a/ChatTTS/core.py
+++ b/ChatTTS/core.py
@@ -549,7 +549,9 @@ def _infer_code(
 
             return [
                 GPT.GenerationOutputs(
-                    ids=token_ids, hiddens=hidden_states, attentions=[],
+                    ids=token_ids,
+                    hiddens=hidden_states,
+                    attentions=[],
                 ),
             ]
 
@@ -640,8 +642,11 @@ def _refine_text(
             del_all(logits_warpers)
             del_all(logits_processors)
 
-            return GPT.GenerationOutputs(ids=token_ids, hiddens=hidden_states, attentions=[],
-                                        )
+            return GPT.GenerationOutputs(
+                ids=token_ids,
+                hiddens=hidden_states,
+                attentions=[],
+            )
 
         emb = gpt(input_ids, text_mask)
 
diff --git a/ChatTTS/model/velocity/model_runner.py b/ChatTTS/model/velocity/model_runner.py
index 073f59982..a13df5990 100644
--- a/ChatTTS/model/velocity/model_runner.py
+++ b/ChatTTS/model/velocity/model_runner.py
@@ -782,14 +782,16 @@ def _make_tensor_with_pad(
     padded_x = []
     for x_i in x:
         pad_i = pad
-        if isinstance(x[0][0],tuple):
+        if isinstance(x[0][0], tuple):
             pad_i = (0,) * len(x[0][0])
         padded_x.append(_pad_to_max(x_i, max_len, pad_i))
-        
-    return torch.tensor(padded_x,
-                        dtype=dtype,
-                        device=device,
-                        pin_memory=pin_memory and str(device) == "cpu")
+
+    return torch.tensor(
+        padded_x,
+        dtype=dtype,
+        device=device,
+        pin_memory=pin_memory and str(device) == "cpu",
+    )
 
 
 def _get_graph_batch_size(batch_size: int) -> int: