Update app.py

app.py

@@ -75,7 +75,7 @@ def tts_fn(text, speaker, sdp_ratio, noise_scale, noise_scale_w, length_scale):
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
-    parser.add_argument("--model_dir", default="./logs/nine/G_11800.pth", help="path of your model")
+    parser.add_argument("--model_dir", default="./logs/Carol/G_12600.pth", help="path of your model")
     parser.add_argument("--config_dir", default="./configs/config.json", help="path of your config file")
     parser.add_argument("--share", default=False, help="make link public")
     parser.add_argument("-d", "--debug", action="store_true", help="enable DEBUG-LEVEL log")
@@ -113,19 +113,19 @@ if __name__ == "__main__":
         with gr.Row():
             with gr.Column():
                 gr.Markdown(value="""
-                【AI尼奈】①在线语音合成（Bert-Vits2）\n
+                【AI珈乐】在线语音合成（Bert-Vits2）\n
                 作者：Xz乔希 https://space.bilibili.com/5859321\n
-                声音归属：尼奈nine_Official https://space.bilibili.com/163653\n
+                声音归属：珈乐Carol https://space.bilibili.com/351609538\n
                 Bert-VITS2项目：https://github.com/Stardust-minus/Bert-VITS2\n
-                【AI尼奈】② https://huggingface.co/spaces/XzJosh/nine2-Bert-VITS2\n
                 【AI塔菲】https://huggingface.co/spaces/XzJosh/Taffy-Bert-VITS2\n
                 【AI东雪莲】https://huggingface.co/spaces/XzJosh/Azuma-Bert-VITS2\n
                 【AI奶绿】https://huggingface.co/spaces/XzJosh/LAPLACE-Bert-VITS2\n
+                【AI尼奈】https://huggingface.co/spaces/XzJosh/nine1-Bert-VITS2\n
                 使用本模型请严格遵守法律法规！\n
                 发布二创作品请标注本项目作者及链接、作品使用Bert-VITS2 AI生成！\n                
                 """)
                 text = gr.TextArea(label="Text", placeholder="Input Text Here",
-                                      value="大家好，啊，我是白兰公主尼奈，是一只米虫，快点把米交出来！")
+                                      value="你好自我介绍一下，我是王力口乐。")
                 speaker = gr.Dropdown(choices=speakers, value=speakers[0], label='Speaker')
                 sdp_ratio = gr.Slider(minimum=0.1, maximum=1, value=0.2, step=0.1, label='SDP/DP混合比')
                 noise_scale = gr.Slider(minimum=0.1, maximum=1, value=0.5, step=0.1, label='感情调节')