Format code (#409)

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

app.py

@@ -1,6 +1,7 @@
 import io
 import os
 import torch
+
 # os.system("wget -P cvec/ https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt")
 import gradio as gr
 import librosa
@@ -20,10 +21,10 @@ from infer_pack.models import (
 )
 from i18n import I18nAuto
 
-logging.getLogger('numba').setLevel(logging.WARNING)
-logging.getLogger('markdown_it').setLevel(logging.WARNING)
-logging.getLogger('urllib3').setLevel(logging.WARNING)
-logging.getLogger('matplotlib').setLevel(logging.WARNING)
+logging.getLogger("numba").setLevel(logging.WARNING)
+logging.getLogger("markdown_it").setLevel(logging.WARNING)
+logging.getLogger("urllib3").setLevel(logging.WARNING)
+logging.getLogger("matplotlib").setLevel(logging.WARNING)
 
 i18n = I18nAuto()
 i18n.print()
@@ -121,7 +122,6 @@ def load_hubert():
     hubert_model.eval()
 
 
-
 def vc_single(
     sid,
     input_audio_path,
@@ -212,9 +212,11 @@ app = gr.Blocks()
 with app:
     with gr.Tabs():
         with gr.TabItem("在线demo"):
-            gr.Markdown(value="""
+            gr.Markdown(
+                value="""
                 RVC 在线demo
-                """)
+                """
+            )
             sid = gr.Dropdown(label=i18n("推理音色"), choices=sorted(names))
             with gr.Column():
                 spk_item = gr.Slider(
@@ -235,13 +237,9 @@ with app:
                 value=i18n("男转女推荐+12key, 女转男推荐-12key, 如果音域爆炸导致音色失真也可以自己调整到合适音域. ")
             )
             vc_input3 = gr.Audio(label="上传音频（长度小于90秒）")
-            vc_transform0 = gr.Number(
-                            label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
-                        )
+            vc_transform0 = gr.Number(label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0)
             f0method0 = gr.Radio(
-                            label=i18n(
-                                "选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"
-                            ),
+                label=i18n("选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"),
                 choices=["pm", "harvest", "crepe"],
                 value="pm",
                 interactive=True,
@@ -259,7 +257,7 @@ with app:
                     label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
                     value="",
                     interactive=False,
-                                visible=False
+                    visible=False,
                 )
             file_index2 = gr.Dropdown(
                 label=i18n("自动检测index路径,下拉式选择(dropdown)"),
@@ -291,9 +289,7 @@ with app:
             protect0 = gr.Slider(
                 minimum=0,
                 maximum=0.5,
-                            label=i18n(
-                                "保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"
-                            ),
+                label=i18n("保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"),
                 value=0.33,
                 step=0.01,
                 interactive=True,
@@ -302,7 +298,8 @@ with app:
             but0 = gr.Button(i18n("转换"), variant="primary")
             vc_output1 = gr.Textbox(label=i18n("输出信息"))
             vc_output2 = gr.Audio(label=i18n("输出音频(右下角三个点,点了可以下载)"))
-            but0.click(vc_single,
+            but0.click(
+                vc_single,
                 [
                     spk_item,
                     vc_input3,

train_nsf_sim_cache_sid_load_pretrain.py

@@ -67,7 +67,8 @@ class EpochRecorder:
 
 def main():
     n_gpus = torch.cuda.device_count()
-    if torch.cuda.is_available()==False and torch.backends.mps.is_available()==True:n_gpus = 1
+    if torch.cuda.is_available() == False and torch.backends.mps.is_available() == True:
+        n_gpus = 1
     os.environ["MASTER_ADDR"] = "localhost"
     os.environ["MASTER_PORT"] = str(randint(20000, 55555))
     children = []