diff --git a/infer-web.py b/infer-web.py
index b3eac89..faa15ed 100644
--- a/infer-web.py
+++ b/infer-web.py
@@ -943,21 +943,24 @@ def change_f0(if_f0_3, sr2, version19):  # f0method8,pretrained_G14,pretrained_D
         else "",
     )
 
+
 global log_interval
 
+
 def set_log_interval(exp_dir, batch_size12):
     log_interval = 1
-    
+
     folder_path = os.path.join(exp_dir, "1_16k_wavs")
-    
+
     if os.path.exists(folder_path) and os.path.isdir(folder_path):
-        wav_files = [f for f in os.listdir(folder_path) if f.endswith('.wav')]
+        wav_files = [f for f in os.listdir(folder_path) if f.endswith(".wav")]
         if wav_files:
             sample_size = len(wav_files)
             log_interval = math.ceil(sample_size / batch_size12)
-    
+
     return log_interval
 
+
 # but3.click(click_train,[exp_dir1,sr2,if_f0_3,save_epoch10,total_epoch11,batch_size12,if_save_latest13,pretrained_G14,pretrained_D15,gpus16])
 def click_train(
     exp_dir1,
diff --git a/train/utils.py b/train/utils.py
index 3fcf392..783f251 100644
--- a/train/utils.py
+++ b/train/utils.py
@@ -353,11 +353,7 @@ def get_hparams(init=True):
         help="if caching the dataset in GPU memory, 1 or 0",
     )
     parser.add_argument(
-        "-li",
-        "--log_interval",
-        type=int,
-        required=True,
-        help="log interval"
+        "-li", "--log_interval", type=int, required=True, help="log interval"
     )
 
     args = parser.parse_args()
@@ -402,10 +398,10 @@ def get_hparams(init=True):
     hparams.train.log_interval = args.log_interval
 
     # Update log_interval in the 'train' section of the config dictionary
-    config['train']['log_interval'] = args.log_interval
+    config["train"]["log_interval"] = args.log_interval
 
     # Save the updated config back to the config_save_path
-    with open(config_save_path, 'w') as f:
+    with open(config_save_path, "w") as f:
         json.dump(config, f, indent=4)
 
     return hparams