Merge pull request #1168 from IAHispano/formatter/main

chore(format): run black on main

Author: blaisewf

tabs/realtime/realtime.py

@@ -29,9 +29,11 @@
 custom_embedder_root_relative = os.path.relpath(custom_embedder_root, now_dir)
 model_root_relative = os.path.relpath(model_root, now_dir)
 
+
 def normalize_path(p):
     return os.path.normpath(p).replace("\\", "/").lower()
 
+
 MODEL_FOLDER = re.compile(r"^(?:model.{0,4}|mdl(?:s)?|weight.{0,4}|zip(?:s)?)$")
 INDEX_FOLDER = re.compile(r"^(?:ind.{0,4}|idx(?:s)?)$")
 
@@ -205,6 +207,7 @@ def match_index(model_file_value):
 
     return ""
 
+
 def extract_model_and_epoch(path):
     base_name = os.path.basename(path)
     match = re.match(r"(.+?)_(\d+)e_", base_name)
@@ -264,6 +267,7 @@ def refresh_embedders_folders():
     ]
     return custom_embedders
 
+
 names = get_files("model")
 default_weight = names[0] if names else None
 
@@ -274,6 +278,7 @@ def refresh_embedders_folders():
 
 CONFIG_PATH = os.path.join(now_dir, "assets", "config.json")
 
+
 def save_realtime_settings(
     input_device, output_device, monitor_device, model_file, index_file
 ):
@@ -966,8 +971,6 @@ def toggle_visible_embedder_custom(embedder_model):
                 return {"visible": True, "__type__": "update"}
             return {"visible": False, "__type__": "update"}
 
-        
-
         refresh_devices_button.click(
             fn=refresh_devices,
             outputs=[input_audio_device, output_audio_device, monitor_output_device],
@@ -1126,4 +1129,4 @@ def refresh_all():
                 output_audio_device,
                 monitor_output_device,
             ],
-        )
+        )

tabs/train/train.py

@@ -524,10 +524,10 @@ def train_tab():
                     "Pitch extraction algorithm to use for the audio conversion. The default algorithm is rmvpe, which is recommended for most cases."
                 ),
                 choices=[
-                    "crepe", 
-                    "crepe-tiny", 
-                    "rmvpe", 
-                    #"fcpe"
+                    "crepe",
+                    "crepe-tiny",
+                    "rmvpe",
+                    # "fcpe"
                 ],
                 value="rmvpe",
                 interactive=True,
@@ -538,11 +538,11 @@ def train_tab():
                 info=i18n("Model used for learning speaker embedding."),
                 choices=[
                     "contentvec",
-                    #"spin",
+                    # "spin",
                     "spin-v2",
-                    #"chinese-hubert-base",
-                    #"japanese-hubert-base",
-                    #"korean-hubert-base",
+                    # "chinese-hubert-base",
+                    # "japanese-hubert-base",
+                    # "korean-hubert-base",
                     "custom",
                 ],
                 value="contentvec",