chore(format): run black on dev (#791)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

ChatTTS/model/dvae.py

@@ -251,7 +251,7 @@ class DVAE(nn.Module):
         self, inp: torch.Tensor, mode: Literal["encode", "decode"] = "decode"
     ) -> torch.Tensor:
         return super().__call__(inp, mode)
-    
+
     @torch.inference_mode()
     def load_pretrained(self, filename: str, device: torch.device):
         state_dict_tensors = load_safetensors(filename)

ChatTTS/utils/io.py

@@ -17,6 +17,7 @@ def load_safetensors(filename: str):
             state_dict_tensors[k] = f.get_tensor(k)
     return state_dict_tensors
 
+
 def get_latest_modified_file(directory):
 
     files = [os.path.join(directory, f) for f in os.listdir(directory)]

examples/web/webui.py

@@ -249,12 +249,8 @@ def main():
     )
     parser.add_argument("--server_port", type=int, default=8080, help="server port")
     parser.add_argument("--root_path", type=str, help="root path")
-    parser.add_argument(
-        "--custom_path", type=str, help="custom model path"
-    )
-    parser.add_argument(
-        "--coef", type=str, help="custom dvae coefficient"
-    )
+    parser.add_argument("--custom_path", type=str, help="custom model path")
+    parser.add_argument("--coef", type=str, help="custom dvae coefficient")
     args = parser.parse_args()
 
     logger.info("loading ChatTTS model...")