重构了webui，提供了另一种风格？

config.py

@@ -26,6 +26,7 @@ webui_port_main = 9874
 webui_port_uvr5 = 9873
 webui_port_infer_tts = 9872
 webui_port_subfix = 9871
+webui_port_srt_slicer = 9870
 
 api_port = 9880
 
@@ -62,5 +63,6 @@ class Config:
         self.webui_port_uvr5 = webui_port_uvr5
         self.webui_port_infer_tts = webui_port_infer_tts
         self.webui_port_subfix = webui_port_subfix
+        self.webui_port_srt_slicer = webui_port_srt_slicer
 
         self.api_port = api_port

tools/srt_slicer/webui.py

@@ -15,6 +15,11 @@ from srt_utils import (
     merge_list_folders
 )
 
+port = 8991
+
+if len(sys.argv) > 1:
+    port = int(sys.argv[1])
+
 
 from i18n.i18n import I18nAuto
 
@@ -371,4 +376,4 @@ with gr.Blocks() as app:
             [save_folder, character],
             [character_warning],
         )
-app.launch(inbrowser=True, server_port=8991, debug=True)
+app.launch(inbrowser=True, server_port=port, debug=True)

webui.py

@@ -48,7 +48,7 @@ import pdb
 import gradio as gr
 from subprocess import Popen
 import signal
-from config import python_exec,infer_device,is_half,exp_root,webui_port_main,webui_port_infer_tts,webui_port_uvr5,webui_port_subfix,is_share
+from config import python_exec,infer_device,is_half,exp_root,webui_port_main,webui_port_infer_tts,webui_port_uvr5,webui_port_subfix,is_share,webui_port_srt_slicer
 from tools.i18n.i18n import I18nAuto
 i18n = I18nAuto()
 from scipy.io import wavfile
@@ -120,6 +120,7 @@ p_uvr5=None
 p_asr=None
 p_denoise=None
 p_tts_inference=None
+p_srt_slicer=None
 
 def kill_proc_tree(pid, including_parent=True):  
     try:
@@ -162,6 +163,18 @@ def change_label(if_label,path_list):
         p_label=None
         yield i18n("打标工具WebUI已关闭")
 
+def change_srt_slicer(if_srt_slicer):
+    global p_srt_slicer
+    if(if_srt_slicer==True and p_srt_slicer==None):
+        cmd = '"%s" tools/srt_slicer/webui.py %s'%(python_exec,webui_port_srt_slicer)
+        yield i18n("SRT切割工具WebUI已开启")
+        print(cmd)
+        p_srt_slicer = Popen(cmd, shell=True)
+    elif(if_srt_slicer==False and p_srt_slicer!=None):
+        kill_process(p_srt_slicer.pid)
+        p_srt_slicer=None
+        yield i18n("SRT切割工具WebUI已关闭")
+
 def change_uvr5(if_uvr5):
     global p_uvr5
     if(if_uvr5==True and p_uvr5==None):
@@ -680,14 +693,16 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             i18n("中文教程文档：https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e")
     )
 
+    # 重构前端WebUI的展示方式，by XTer: https://github.com/X-T-E-R
     with gr.Tabs():
-        with gr.TabItem(i18n("0-前置数据集获取工具")):#提前随机切片防止uvr5爆内存->uvr5->slicer->asr->打标
+        with gr.Tab(i18n("0-前置数据集获取工具")):#提前随机切片防止uvr5爆内存->uvr5->slicer->asr->打标
-            gr.Markdown(value=i18n("0a-UVR5人声伴奏分离&去混响去延迟工具"))
             with gr.Row():
+                with gr.Column(scale=2):
+                    with gr.Tabs():
+                        with gr.Tab(i18n("0a-UVR5人声伴奏分离&去混响去延迟工具")):
                             if_uvr5 = gr.Checkbox(label=i18n("是否开启UVR5-WebUI"),show_label=True)
                             uvr5_info = gr.Textbox(label=i18n("UVR5进程输出信息"))
-            gr.Markdown(value=i18n("0b-语音切分工具"))
+                        with gr.Tab(i18n("0b-语音切分工具")):
-            with gr.Row():
                             with gr.Row():
                                 slice_inp_path=gr.Textbox(label=i18n("音频自动切分输入路径，可文件可文件夹"),value="")
                                 slice_opt_root=gr.Textbox(label=i18n("切分后的子音频的输出根目录"),value="output/slicer_opt")
@@ -697,23 +712,28 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                 hop_size=gr.Textbox(label=i18n("hop_size:怎么算音量曲线，越小精度越大计算量越高（不是精度越大效果越好）"),value="10")
                                 max_sil_kept=gr.Textbox(label=i18n("max_sil_kept:切完后静音最多留多长"),value="500")
                             with gr.Row():
-                    open_slicer_button=gr.Button(i18n("开启语音切割"), variant="primary",visible=True)
-                    close_slicer_button=gr.Button(i18n("终止语音切割"), variant="primary",visible=False)
                                 _max=gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("max:归一化后最大值多少"),value=0.9,interactive=True)
                                 alpha=gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("alpha_mix:混多少比例归一化后音频进来"),value=0.25,interactive=True)
                                 n_process=gr.Slider(minimum=1,maximum=n_cpu,step=1,label=i18n("切割使用的进程数"),value=4,interactive=True)
-                    slicer_info = gr.Textbox(label=i18n("语音切割进程输出信息"))
-            gr.Markdown(value=i18n("0bb-语音降噪工具"))
                             with gr.Row():
-                open_denoise_button = gr.Button(i18n("开启语音降噪"), variant="primary",visible=True)
+                                with gr.Group():
-                close_denoise_button = gr.Button(i18n("终止语音降噪进程"), variant="primary",visible=False)
+                                    slicer_info = gr.Textbox(label=i18n("语音切割进程输出信息"))
+                                    open_slicer_button=gr.Button(i18n("开启语音切割"), variant="primary",visible=True)
+                                    close_slicer_button=gr.Button(i18n("终止语音切割"), variant="primary",visible=False)
+                        with gr.Tab(i18n("0bb-语音降噪工具")):
+                            with gr.Row():
+                                
                                 denoise_input_dir=gr.Textbox(label=i18n("降噪音频文件输入文件夹"),value="")
                                 denoise_output_dir=gr.Textbox(label=i18n("降噪结果输出文件夹"),value="output/denoise_opt")
-                denoise_info = gr.Textbox(label=i18n("语音降噪进程输出信息"))
-            gr.Markdown(value=i18n("0c-中文批量离线ASR工具"))
                             with gr.Row():
-                open_asr_button = gr.Button(i18n("开启离线批量ASR"), variant="primary",visible=True)
+                                with gr.Group():
-                close_asr_button = gr.Button(i18n("终止ASR进程"), variant="primary",visible=False)
+                                    denoise_info = gr.Textbox(label=i18n("语音降噪进程输出信息"))
+                                    open_denoise_button = gr.Button(i18n("开启语音降噪"), variant="primary",visible=True)
+                                    close_denoise_button = gr.Button(i18n("终止语音降噪进程"), variant="primary",visible=False)
+                with gr.Column(scale=2):
+                    with gr.Tabs():
+                        with gr.Tab(i18n("0c-离线批量ASR工具")):
+                            
                             with gr.Column():
                                 with gr.Row():
                                     asr_inp_dir = gr.Textbox(
@@ -746,7 +766,10 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                         value="zh"
                                     )
                                 with gr.Row():
+                                    with gr.Group():
                                         asr_info = gr.Textbox(label=i18n("ASR进程输出信息"))
+                                        open_asr_button = gr.Button(i18n("开启离线批量ASR"), variant="primary",visible=True)
+                                        close_asr_button = gr.Button(i18n("终止ASR进程"), variant="primary",visible=False)
 
                             def change_lang_choices(key): #根据选择的模型修改可选的语言
                                 # return gr.Dropdown(choices=asr_dict[key]['lang'])
@@ -757,8 +780,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                             asr_model.change(change_lang_choices, [asr_model], [asr_lang])
                             asr_model.change(change_size_choices, [asr_model], [asr_size])
                     
-            gr.Markdown(value=i18n("0d-语音文本校对标注工具"))
+                        with gr.Tab(i18n("0d-语音文本校对标注工具")):
-            with gr.Row():
                             if_label = gr.Checkbox(label=i18n("是否开启打标WebUI"),show_label=True)
                             path_list = gr.Textbox(
                                 label=i18n(".list标注文件的路径"),
@@ -766,7 +788,12 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                 interactive=True,
                             )
                             label_info = gr.Textbox(label=i18n("打标工具进程输出信息"))
+                            
+                        with gr.Tab(i18n("0c-基于SRT的音频切分工具")):
+                            if_srt_slicer = gr.Checkbox(label=i18n("是否开启SRT切分工具"),show_label=True)
+                            srt_slicer_info = gr.Textbox(label=i18n("SRT切分工具进程输出信息"))
         if_label.change(change_label, [if_label,path_list], [label_info])
+        if_srt_slicer.change(change_srt_slicer, [if_srt_slicer], [srt_slicer_info])
         if_uvr5.change(change_uvr5, [if_uvr5], [uvr5_info])
         open_asr_button.click(open_asr, [asr_inp_dir, asr_opt_dir, asr_model, asr_size, asr_lang], [asr_info,open_asr_button,close_asr_button])
         close_asr_button.click(close_asr, [], [asr_info,open_asr_button,close_asr_button])
@@ -775,16 +802,17 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
         open_denoise_button.click(open_denoise, [denoise_input_dir,denoise_output_dir], [denoise_info,open_denoise_button,close_denoise_button])
         close_denoise_button.click(close_denoise, [], [denoise_info,open_denoise_button,close_denoise_button])
 
-        with gr.TabItem(i18n("1-GPT-SoVITS-TTS")):
+        with gr.Tab(i18n("1-GPT-SoVITS-TTS")):
             with gr.Row():
                 exp_name = gr.Textbox(label=i18n("*实验/模型名"), value="xxx", interactive=True)
                 gpu_info = gr.Textbox(label=i18n("显卡信息"), value=gpu_info, visible=True, interactive=False)
                 pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value="GPT_SoVITS/pretrained_models/s2G488k.pth", interactive=True)
                 pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value="GPT_SoVITS/pretrained_models/s2D488k.pth", interactive=True)
                 pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt", interactive=True)
-            with gr.TabItem(i18n("1A-训练集格式化工具")):
+            with gr.Tab(i18n("1A-训练集格式化工具")):
-                gr.Markdown(value=i18n("输出logs/实验名目录下应有23456开头的文件和文件夹"))
+                with gr.Tabs():
-                with gr.Row():
+                    with gr.Tab(i18n("输出logs/实验名目录下应有23456开头的文件和文件夹")):
+                        with gr.Group():
                             inp_text = gr.Textbox(label=i18n("*文本标注文件"),value=r"D:\RVC1006\GPT-SoVITS\raw\xxx.list",interactive=True)
                             inp_wav_dir = gr.Textbox(
                                 label=i18n("*训练集音频文件目录"),
@@ -792,31 +820,41 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                 interactive=True,
                                 placeholder=i18n("填切割后音频所在目录！读取的音频文件完整路径=该目录-拼接-list文件里波形对应的文件名（不是全路径）。如果留空则使用.list文件里的绝对全路径。")
                             )
-                gr.Markdown(value=i18n("1Aa-文本内容"))
+                with gr.Tabs():
-                with gr.Row():
+                    with gr.Tab(i18n("1Aabc-训练集格式化一键三连")):
-                    gpu_numbers1a = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
+                        with gr.Group():
-                    bert_pretrained_dir = gr.Textbox(label=i18n("预训练的中文BERT模型路径"),value="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",interactive=False)
+                            info1abc=gr.Textbox(label=i18n("一键三连进程输出信息"))
-                    button1a_open = gr.Button(i18n("开启文本获取"), variant="primary",visible=True)
-                    button1a_close = gr.Button(i18n("终止文本获取进程"), variant="primary",visible=False)
-                    info1a=gr.Textbox(label=i18n("文本进程输出信息"))
-                gr.Markdown(value=i18n("1Ab-SSL自监督特征提取"))
-                with gr.Row():
-                    gpu_numbers1Ba = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
-                    cnhubert_base_dir = gr.Textbox(label=i18n("预训练的SSL模型路径"),value="GPT_SoVITS/pretrained_models/chinese-hubert-base",interactive=False)
-                    button1b_open = gr.Button(i18n("开启SSL提取"), variant="primary",visible=True)
-                    button1b_close = gr.Button(i18n("终止SSL提取进程"), variant="primary",visible=False)
-                    info1b=gr.Textbox(label=i18n("SSL进程输出信息"))
-                gr.Markdown(value=i18n("1Ac-语义token提取"))
-                with gr.Row():
-                    gpu_numbers1c = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
-                    button1c_open = gr.Button(i18n("开启语义token提取"), variant="primary",visible=True)
-                    button1c_close = gr.Button(i18n("终止语义token提取进程"), variant="primary",visible=False)
-                    info1c=gr.Textbox(label=i18n("语义token提取进程输出信息"))
-                gr.Markdown(value=i18n("1Aabc-训练集格式化一键三连"))
-                with gr.Row():
                             button1abc_open = gr.Button(i18n("开启一键三连"), variant="primary",visible=True)
                             button1abc_close = gr.Button(i18n("终止一键三连"), variant="primary",visible=False)
-                    info1abc=gr.Textbox(label=i18n("一键三连进程输出信息"))
+                with gr.Row():
+                    with gr.Column():
+                        with gr.Tabs():
+                            with gr.Tab(i18n("1Aa-文本内容")):
+                                gpu_numbers1a = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
+                                bert_pretrained_dir = gr.Textbox(label=i18n("预训练的中文BERT模型路径"),value="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",interactive=False)
+                                with gr.Group():
+                                    info1a=gr.Textbox(label=i18n("文本进程输出信息"))
+                                    button1a_open = gr.Button(i18n("开启文本获取"), variant="primary",visible=True)
+                                    button1a_close = gr.Button(i18n("终止文本获取进程"), variant="primary",visible=False)
+                    with gr.Column():
+                        with gr.Tabs():
+                            with gr.Tab(i18n("1Ab-SSL自监督特征提取")):
+                                gpu_numbers1Ba = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
+                                cnhubert_base_dir = gr.Textbox(label=i18n("预训练的SSL模型路径"),value="GPT_SoVITS/pretrained_models/chinese-hubert-base",interactive=False)
+                                with gr.Group():
+                                    info1b=gr.Textbox(label=i18n("SSL进程输出信息"))
+                                    button1b_open = gr.Button(i18n("开启SSL提取"), variant="primary",visible=True)
+                                    button1b_close = gr.Button(i18n("终止SSL提取进程"), variant="primary",visible=False)
+                    with gr.Column():
+                        with gr.Tabs():
+                            with gr.Tab(i18n("1Ac-语义token提取")):
+                
+                                gpu_numbers1c = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
+                                with gr.Group():    
+                                    info1c=gr.Textbox(label=i18n("语义token提取进程输出信息"))
+                                    button1c_open = gr.Button(i18n("开启语义token提取"), variant="primary",visible=True)
+                                    button1c_close = gr.Button(i18n("终止语义token提取进程"), variant="primary",visible=False)
+                
             button1a_open.click(open1a, [inp_text,inp_wav_dir,exp_name,gpu_numbers1a,bert_pretrained_dir], [info1a,button1a_open,button1a_close])
             button1a_close.click(close1a, [], [info1a,button1a_open,button1a_close])
             button1b_open.click(open1b, [inp_text,inp_wav_dir,exp_name,gpu_numbers1Ba,cnhubert_base_dir], [info1b,button1b_open,button1b_close])
@@ -825,9 +863,12 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             button1c_close.click(close1c, [], [info1c,button1c_open,button1c_close])
             button1abc_open.click(open1abc, [inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numbers1c,bert_pretrained_dir,cnhubert_base_dir,pretrained_s2G], [info1abc,button1abc_open,button1abc_close])
             button1abc_close.click(close1abc, [], [info1abc,button1abc_open,button1abc_close])
-            with gr.TabItem(i18n("1B-微调训练")):
+            with gr.Tab(i18n("1B-微调训练")):
-                gr.Markdown(value=i18n("1Ba-SoVITS训练。用于分享的模型文件输出在SoVITS_weights下。"))
                 with gr.Row():
+                    with gr.Column():     
+                        with gr.Tabs():
+                            with gr.Tab(i18n("1Ba-SoVITS训练。用于分享的模型文件输出在SoVITS_weights下。")):
+                                with gr.Group():
                                     batch_size = gr.Slider(minimum=1,maximum=40,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size,interactive=True)
                                     total_epoch = gr.Slider(minimum=1,maximum=25,step=1,label=i18n("总训练轮数total_epoch，不建议太高"),value=8,interactive=True)
                                     text_low_lr_rate = gr.Slider(minimum=0.2,maximum=0.6,step=0.05,label=i18n("文本模块学习率权重"),value=0.4,interactive=True)
@@ -835,12 +876,14 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                     if_save_latest = gr.Checkbox(label=i18n("是否仅保存最新的ckpt文件以节省硬盘空间"), value=True, interactive=True, show_label=True)
                                     if_save_every_weights = gr.Checkbox(label=i18n("是否在每次保存时间点将最终小模型保存至weights文件夹"), value=True, interactive=True, show_label=True)
                                     gpu_numbers1Ba = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"), value="%s" % (gpus), interactive=True)
-                with gr.Row():
+                                with gr.Group():
+                                    info1Ba=gr.Textbox(label=i18n("SoVITS训练进程输出信息"))
                                     button1Ba_open = gr.Button(i18n("开启SoVITS训练"), variant="primary",visible=True)
                                     button1Ba_close = gr.Button(i18n("终止SoVITS训练"), variant="primary",visible=False)
-                    info1Ba=gr.Textbox(label=i18n("SoVITS训练进程输出信息"))
+                    with gr.Column():
-                gr.Markdown(value=i18n("1Bb-GPT训练。用于分享的模型文件输出在GPT_weights下。"))
+                        with gr.Tabs():
-                with gr.Row():
+                            with gr.Tab(i18n("1Bb-GPT训练。用于分享的模型文件输出在GPT_weights下。")):
+                                with gr.Group():
                                     batch_size1Bb = gr.Slider(minimum=1,maximum=40,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size,interactive=True)
                                     total_epoch1Bb = gr.Slider(minimum=2,maximum=50,step=1,label=i18n("总训练轮数total_epoch"),value=15,interactive=True)
                                     if_dpo = gr.Checkbox(label=i18n("是否开启dpo训练选项(实验性)"), value=False, interactive=True, show_label=True)
@@ -848,27 +891,39 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                                     if_save_every_weights1Bb = gr.Checkbox(label=i18n("是否在每次保存时间点将最终小模型保存至weights文件夹"), value=True, interactive=True, show_label=True)
                                     save_every_epoch1Bb = gr.Slider(minimum=1,maximum=50,step=1,label=i18n("保存频率save_every_epoch"),value=5,interactive=True)
                                     gpu_numbers1Bb = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"), value="%s" % (gpus), interactive=True)
-                with gr.Row():
+                                with gr.Group():
+                                    info1Bb=gr.Textbox(label=i18n("GPT训练进程输出信息"))
                                     button1Bb_open = gr.Button(i18n("开启GPT训练"), variant="primary",visible=True)
                                     button1Bb_close = gr.Button(i18n("终止GPT训练"), variant="primary",visible=False)
-                    info1Bb=gr.Textbox(label=i18n("GPT训练进程输出信息"))
             button1Ba_open.click(open1Ba, [batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers1Ba,pretrained_s2G,pretrained_s2D], [info1Ba,button1Ba_open,button1Ba_close])
             button1Ba_close.click(close1Ba, [], [info1Ba,button1Ba_open,button1Ba_close])
             button1Bb_open.click(open1Bb, [batch_size1Bb,total_epoch1Bb,exp_name,if_dpo,if_save_latest1Bb,if_save_every_weights1Bb,save_every_epoch1Bb,gpu_numbers1Bb,pretrained_s1],   [info1Bb,button1Bb_open,button1Bb_close])
             button1Bb_close.click(close1Bb, [], [info1Bb,button1Bb_open,button1Bb_close])
-            with gr.TabItem(i18n("1C-推理")):
+            with gr.Tab(i18n("1C-推理")):
                 gr.Markdown(value=i18n("选择训练完存放在SoVITS_weights和GPT_weights下的模型。默认的一个是底模，体验5秒Zero Shot TTS用。"))
                 with gr.Row():
+                    with gr.Column():
+                        gpu_number_1C=gr.Textbox(label=i18n("GPU卡号,只能填1个整数"), value=gpus, interactive=True)
+                        with gr.Group():
                             GPT_dropdown = gr.Dropdown(label=i18n("*GPT模型列表"), choices=sorted(GPT_names,key=custom_sort_key),value=pretrained_gpt_name,interactive=True)
                             SoVITS_dropdown = gr.Dropdown(label=i18n("*SoVITS模型列表"), choices=sorted(SoVITS_names,key=custom_sort_key),value=pretrained_sovits_name,interactive=True)
-                    gpu_number_1C=gr.Textbox(label=i18n("GPU卡号,只能填1个整数"), value=gpus, interactive=True)
                             refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary")
                             refresh_button.click(fn=change_choices,inputs=[],outputs=[SoVITS_dropdown,GPT_dropdown])
-                with gr.Row():
+                    with gr.Column():
                         if_tts = gr.Checkbox(label=i18n("是否开启TTS推理WebUI"), show_label=True)
                         tts_info = gr.Textbox(label=i18n("TTS推理WebUI进程输出信息"))
                         if_tts.change(change_tts_inference, [if_tts,bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown], [tts_info])
-        with gr.TabItem(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音"))
+        with gr.Tab(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音"))
+    
+    if gr.__version__.split(".")[0] == "4":
+        app.launch(
+            server_name="0.0.0.0",
+            inbrowser=True,
+            share=is_share,
+            server_port=webui_port_main,
+            quiet=True,
+        )
+    else:
         app.queue(concurrency_count=511, max_size=1022).launch(
             server_name="0.0.0.0",
             inbrowser=True,
@@ -876,3 +931,4 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             server_port=webui_port_main,
             quiet=True,
         )
+