Update app.py

app.py

@@ -22,7 +22,7 @@ model = Svc("logs/44k/G_90400.pth", "configs/config.json", cluster_model_path="l
 
 def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, slice_db, noise_scale):
     if input_audio is None:
-        return "You need to upload an audio", None
+        return "没有上传待处理的音频哦", None
     sampling_rate, audio = input_audio
     # print(audio.shape,sampling_rate)
     duration = audio.shape[0] / sampling_rate
@@ -38,7 +38,7 @@ def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, slice_db, noise
     soundfile.write(out_wav_path, audio, 16000, format="wav")
     print( cluster_ratio, auto_f0, noise_scale)
     _audio = model.slice_inference(out_wav_path, sid, vc_transform, slice_db, cluster_ratio, auto_f0, noise_scale)
-    return "Success", (44100, _audio)
+    return "转换完成", (44100, _audio)
 
 
 app = gr.Blocks()
@@ -70,7 +70,7 @@ with app:
             slice_db = gr.Number(label="切片阈值", value=-40)
             noise_scale = gr.Number(label="noise_scale 建议不要动，会影响音质，玄学参数", value=0.4)
             vc_submit = gr.Button("转换", variant="primary")
-            vc_output1 = gr.Textbox(label="Output Message")
+            vc_output1 = gr.Textbox(label="输出结果")
             vc_output2 = gr.Audio(label="Output Audio")
         vc_submit.click(vc_fn, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, slice_db, noise_scale], [vc_output1, vc_output2])