chore(format): run black on dev (#2104)

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

infer-web.py

@@ -1536,9 +1536,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                 )
                 with gr.Row():
                     with gr.Column():
-                        ckpt_path1 = gr.File(
+                        ckpt_path1 = gr.File(label=i18n("模型路径"))
-                            label=i18n("模型路径")
-                        )
                         but8 = gr.Button(i18n("查看"), variant="primary")
                     with gr.Column():
                         info6 = gr.Textbox(label=i18n("输出信息"), value="")

infer/modules/vc/hash.py

@@ -47,6 +47,7 @@ def original_audio_time_minus():
 def original_audio_freq_minus():
     return original_audio_storage()["f"]
 
+
 @singleton_variable
 def original_rmvpe_f0():
     x = original_audio_storage()

infer/modules/vc/info.py

@@ -25,13 +25,27 @@ def show_model_info(cpt, show_long_id=False):
                 + ")"
             )
         sim = hash_similarity(h, hread)
-        if not isinstance(sim, str): sim = "%.2f%%" % (sim*100)
+        if not isinstance(sim, str):
+            sim = "%.2f%%" % (sim * 100)
         if not show_long_id:
             h = i18n("不显示")
             if h != hread:
                 h = i18n("相似度") + " " + sim + " -> " + h
         elif h != hread:
-            h = i18n("相似度") + " " + sim + " -> " + h + "(" + i18n("实际计算") + "), " + hread + "(" + i18n("从模型中读取") + ")"
+            h = (
+                i18n("相似度")
+                + " "
+                + sim
+                + " -> "
+                + h
+                + "("
+                + i18n("实际计算")
+                + "), "
+                + hread
+                + "("
+                + i18n("从模型中读取")
+                + ")"
+            )
         txt = f"""{i18n("模型名")}: %s
 {i18n("封装时间")}: %s
 {i18n("模型作者")}: %s
@@ -59,7 +73,8 @@ def show_model_info(cpt, show_long_id=False):
 
 def show_info(path):
     try:
-        if hasattr(path, "name"): path = path.name
+        if hasattr(path, "name"):
+            path = path.name
         a = torch.load(path, map_location="cpu")
         txt = show_model_info(a, show_long_id=True)
         del a