Update infer_uvr5.py

infer_uvr5.py

@@ -61,7 +61,7 @@ class _audio_pre_:
                 (
                     X_wave[d],
                     _,
-                ) = librosa.core.load(  # 理论上librosa读取可能对某些音频有bug，应该上ffmpeg读取，但是太麻烦了弃坑
+                ) = librosa.core.load(  # Theoretically, librosa reading may have bugs for some audios, and ffmpeg should be used for reading, but it is too troublesome and I gave up.
                     music_file,
                     bp["sr"],
                     False,
@@ -211,7 +211,7 @@ class _audio_pre_new:
 
     def _path_audio_(
         self, music_file, vocal_root=None, ins_root=None, format="flac"
-    ):  # 3个VR模型vocal和ins是反的
+    ):  # The vocal and ins of 3 VR models are reversed
         if ins_root is None and vocal_root is None:
             return "No save root."
         name = os.path.basename(music_file)
@@ -228,7 +228,7 @@ class _audio_pre_new:
                 (
                     X_wave[d],
                     _,
-                ) = librosa.core.load(  # 理论上librosa读取可能对某些音频有bug，应该上ffmpeg读取，但是太麻烦了弃坑
+                ) = librosa.core.load(  # Theoretically, librosa reading may have bugs for some audios, and ffmpeg should be used for reading, but it is too troublesome and I gave up.
                     music_file,
                     bp["sr"],
                     False,
@@ -358,6 +358,6 @@ if __name__ == "__main__":
     model_path = "uvr5_weights/DeEchoNormal.pth"
     # pre_fun = _audio_pre_(model_path=model_path, device=device, is_half=True,agg=10)
     pre_fun = _audio_pre_new(model_path=model_path, device=device, is_half=True, agg=10)
-    audio_path = "雪雪伴奏对消HP5.wav"
+    audio_path = "Snowy accompaniment cancellation HP5.wav"
     save_path = "opt"
     pre_fun._path_audio_(audio_path, save_path, save_path)