Update app.py

app.py

@@ -11,6 +11,7 @@ import asyncio
 import argparse
 import edge_tts
 import gradio.processing_utils as gr_processing_utils
+
 logging.getLogger('numba').setLevel(logging.WARNING)
 logging.getLogger('markdown_it').setLevel(logging.WARNING)
 logging.getLogger('urllib3').setLevel(logging.WARNING)
@@ -20,6 +21,7 @@ limitation = os.getenv("SYSTEM") == "spaces"  # limit audio length in huggingfac
 
 audio_postprocess_ori = gr.Audio.postprocess
 
+
 def audio_postprocess(self, y):
     data = audio_postprocess_ori(self, y)
     if data is None:
@@ -28,6 +30,8 @@ def audio_postprocess(self, y):
 
 
 gr.Audio.postprocess = audio_postprocess
+
+
 def create_vc_fn(model, sid):
     def vc_fn(input_audio, vc_transform, auto_f0):
         if input_audio is None:
@@ -45,9 +49,10 @@ def create_vc_fn(model, sid):
         soundfile.write(raw_path, audio, 16000, format="wav")
         raw_path.seek(0)
         out_audio, out_sr = model.infer(sid, vc_transform, raw_path,
-                                       auto_predict_f0=auto_f0,
-                                       )
+                                        auto_predict_f0=auto_f0,
+                                        )
         return "Success", (44100, out_audio.cpu().numpy())
+
     return vc_fn
 
 
@@ -80,11 +85,11 @@ if __name__ == '__main__':
                         gr.Markdown(
                             '<div align="center">'
                             f'<img style="width:auto;height:300px;" src="file/{cover}">' if cover else ""
-                            '</div>'
+                                                                                                       '</div>'
                         )
                     with gr.Row():
                         with gr.Column():
-                            vc_input = gr.Audio(label="输入干声"+' (小于 20 秒)' if limitation else '')
+                            vc_input = gr.Audio(label="输入干声" + ' (小于 20 秒)' if limitation else '')
                             vc_transform = gr.Number(label="音高调整(支持正负半音，12为一个八度)", value=0)
                             auto_f0 = gr.Checkbox(label="自动音高预测（说话模式）", value=False)
                             vc_submit = gr.Button("生成", variant="primary")