Update app.py

app.py

@@ -1,7 +1,7 @@
 import io
 import os
 
-os.system("wget -P cvec/ https://huggingface.co/spaces/MarcusSu1216/XingTong/blob/main/hubert/checkpoint_best_legacy_500.pt")
+# os.system("wget -P cvec/ https://huggingface.co/spaces/innnky/nanami/resolve/main/checkpoint_best_legacy_500.pt")
 import gradio as gr
 import librosa
 import numpy as np
@@ -19,7 +19,8 @@ config_path = "configs/config.json"
 model = Svc("logs/44k/G_99200.pth", "configs/config.json", cluster_model_path="logs/44k/kmeans_10000.pt")
 
 
-def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, noise_scale):
+
+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
     sampling_rate, audio = input_audio
@@ -37,13 +38,13 @@ def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, noise_scale):
     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 "转换成功", (44100, _audio)
+    return "Success", (44100, _audio)
 
 
 app = gr.Blocks()
 with app:
     with gr.Tabs():
-        with gr.TabItem("介绍"):
+        with gr.TabItem("Basic"):
             gr.Markdown(value="""
                 星瞳_Official的语音在线合成，基于so-vits-svc-4.0生成。\n
 
@@ -73,3 +74,6 @@ with app:
         vc_submit.click(vc_fn, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, slice_db, noise_scale], [vc_output1, vc_output2])
 
     app.launch()
+
+
+