Upload app.py

app.py

@@ -117,15 +117,8 @@ def vc_fn(output_format,sid, input_audio, vc_transform, auto_f0,cluster_ratio, s
     out_wav_path1 = 'output_'+f'{sid}_{vc_transform}.{output_format}'
     soundfile.write(out_wav_path1, _audio, 44100, format=output_format)
     used_time = round(time.time() - start_time, 2)
-    if auto_f0:
-        out_str = "你开启了自动f0预测，仅限转换语音，歌声不要勾选此项会究极跑调"
-        out_str = out_str+ ("Success! total use time:{}s".format(
-            used_time))
-    else:
-        out_str = (base64.b64decode( b'U3VjY2VzcyEgdG90YWwgdXNlIHRpbWU6e31z' ).decode().format(
-            used_time))
+    out_str = ("Success! total use time:{}s".format(used_time))
     return out_str ,out_wav_path1
-    #return out_str ,out_wav_path1, gr.Image.update("temp.svg")
 
 def change_audio(audio,vc):
     new_audio = audio
@@ -187,10 +180,10 @@ with app:
                     vc_tts_submit = gr.Button("文本转语音", variant="primary")
             spks = list(model.spk2id.keys())
   
-            sid = gr.Dropdown(label="音色", choices=spks, value=base64.b64decode( b'SE9TSElOT19NSU5BTUk=' ).decode())
+            sid = gr.Dropdown(label="音色", choices=spks, value="HOSHINO_MINAMI")
             #sid.change(fn=update_dropdown,inputs=[sid],outputs=[sid])
             sid.update(interactive=True)
-            with gr.Accordion(label="↓切换模型(音色具有抽奖性质，可切换尝试)", open=False):
+            with gr.Accordion(label="↓切换模型(默认58v1,音色具有抽奖性质，可切换尝试)", open=False):
                 modelstrs = gr.Dropdown(label = "模型", choices = modelPaths, value = modelPaths[0], type = "value")
                 btnMod = gr.Button("载入模型")
                 statusa = gr.TextArea()
@@ -201,10 +194,10 @@ with app:
             f0_predictor = gr.Radio(label="f0预测器(如遇哑音可以尝试更换f0)凭干声干净程度选择。推荐fcpe和rmvpe", choices=["pm","dio","harvest","fcpe","rmvpe"], value="fcpe")
             with gr.Row():    
                 cluster_ratio = gr.Slider(label="聚类模型混合比例，0-1之间，默认为0不启用聚类，能提升音色相似度，但会导致咬字下降（如果使用建议0.5左右）",maximum=0, minimum=1, step=0.1, value=0)   
-                output_format = gr.Radio(label=base64.b64decode( b'6Z+z6aKR6L6T5Ye65qC85byPKE1QM+S8muWvvOiHtOaXtumXtOi9tOWkmjI3bXMs6ZyA5ZCI5oiQ6K+36YCJZmxhYyk=' ).decode(), choices=["flac", "mp3"], value = "mp3")#格式
+                output_format = gr.Radio(label="音频输出格式(MP3会导致时间轴多27ms,需合成请选flac)", choices=["flac", "mp3"], value = "flac")#格式
             vc_submit = gr.Button("音频转换", variant="primary")
 
-            vc_output1 = gr.Textbox(label=base64.b64decode( b'6Z+z6auY5bmz5Z2H5YGP5beu5Y2K6Z+z5pWw6YeP77yM5L2T546w6L2s5o2i6Z+z6aKR55qE6LeR6LCD5oOF5Ya177yI5LiA6Iis5bCP5LqOMC4177yJ' ).decode())
+            vc_output1 = gr.Textbox(label=b'音高平均偏差半音数量，体现转换音频的跑调情况（一般小于0.5）')
             vc_output2 = gr.Audio(label="Output Audio")
 
         vc_submit.click(vc_fn, [output_format,sid, vc_input3, vc_transform,auto_f0,cluster_ratio, slice_db,f0_predictor], [vc_output1, vc_output2])