Update app.py

app.py

@@ -14,7 +14,7 @@ logging.getLogger('markdown_it').setLevel(logging.WARNING)
 logging.getLogger('urllib3').setLevel(logging.WARNING)
 logging.getLogger('matplotlib').setLevel(logging.WARNING)
 
-model = Svc("logs/44k/G_32000.pth", "configs/config.json", cluster_model_path="logs/44k/kmeans_10000.pt")
+model = Svc("logs/44k/G_29600.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):
     if input_audio is None:
@@ -38,7 +38,7 @@ def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, noise_scale):
                                    auto_predict_f0=auto_f0,
                                    noice_scale=noise_scale
                                    )
-    return "转换完成", (44100, out_audio.numpy())
+    return "转化完成", (44100, out_audio.numpy())
 
 
 app = gr.Blocks()
@@ -61,8 +61,8 @@ with app:
                  7、语音模型转换出的音频请勿用于商业化。
                 """)
             spks = list(model.spk2id.keys())
-            sid = gr.Dropdown(label="音色", choices=["XT3.0"], value="XT3.0")
-            vc_input3 = gr.Audio(label="上传音频（长度小于100秒）")
+            sid = gr.Dropdown(label="音色", choices=["ikaros"], value="ikaros")
+            vc_input3 = gr.Audio(label="上传音频（长度建议小于100秒）")
             vc_transform = gr.Number(label="变调（整数，可以正负，半音数量，升高八度就是12）", value=0)
             cluster_ratio = gr.Number(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）", value=0)
             auto_f0 = gr.Checkbox(label="自动f0预测，配合聚类模型f0预测效果更好,会导致变调功能失效（仅限转换语音，歌声不要勾选此项会究极跑调）", value=False)
@@ -72,4 +72,4 @@ with app:
             vc_output2 = gr.Audio(label="Output Audio")
         vc_submit.click(vc_fn, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, noise_scale], [vc_output1, vc_output2])
 
-    app.launch()
+    app.launch()