diff --git a/webui.py b/webui.py index 74a2f6a5..199dcc19 100644 --- a/webui.py +++ b/webui.py @@ -195,34 +195,34 @@ def kill_process(pid): kill_proc_tree(pid) -def change_label(if_label,path_list): +def change_label(path_list): global p_label - if(if_label==True and p_label==None): + if(p_label==None): path_list=my_utils.clean_path(path_list) cmd = '"%s" tools/subfix_webui.py --load_list "%s" --webui_port %s --is_share %s'%(python_exec,path_list,webui_port_subfix,is_share) - yield i18n("打标工具WebUI已开启") + yield i18n("打标工具WebUI已开启"), {'__type__':'update','visible':False}, {'__type__':'update','visible':True} print(cmd) p_label = Popen(cmd, shell=True) - elif(if_label==False and p_label!=None): + elif(p_label!=None): kill_process(p_label.pid) p_label=None - yield i18n("打标工具WebUI已关闭") + yield i18n("打标工具WebUI已关闭"), {'__type__':'update','visible':True}, {'__type__':'update','visible':False} -def change_uvr5(if_uvr5): +def change_uvr5(): global p_uvr5 - if(if_uvr5==True and p_uvr5==None): + if(p_uvr5==None): cmd = '"%s" tools/uvr5/webui.py "%s" %s %s %s'%(python_exec,infer_device,is_half,webui_port_uvr5,is_share) - yield i18n("UVR5已开启") + yield i18n("UVR5已开启"), {'__type__':'update','visible':False}, {'__type__':'update','visible':True} print(cmd) p_uvr5 = Popen(cmd, shell=True) - elif(if_uvr5==False and p_uvr5!=None): + elif(p_uvr5!=None): kill_process(p_uvr5.pid) p_uvr5=None - yield i18n("UVR5已关闭") + yield i18n("UVR5已关闭"), {'__type__':'update','visible':True}, {'__type__':'update','visible':False} -def change_tts_inference(if_tts,bert_path,cnhubert_base_path,gpu_number,gpt_path,sovits_path): +def change_tts_inference(bert_path,cnhubert_base_path,gpu_number,gpt_path,sovits_path): global p_tts_inference - if(if_tts==True and p_tts_inference==None): + if(p_tts_inference==None): os.environ["gpt_path"]=gpt_path if "/" in gpt_path else "%s/%s"%(GPT_weight_root,gpt_path) os.environ["sovits_path"]=sovits_path if "/"in sovits_path else "%s/%s"%(SoVITS_weight_root,sovits_path) os.environ["cnhubert_base_path"]=cnhubert_base_path @@ -232,13 +232,13 @@ def change_tts_inference(if_tts,bert_path,cnhubert_base_path,gpu_number,gpt_path os.environ["infer_ttswebui"]=str(webui_port_infer_tts) os.environ["is_share"]=str(is_share) cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"'%(python_exec, language) - yield i18n("TTS推理进程已开启") + yield i18n("TTS推理进程已开启"), {'__type__':'update','visible':False}, {'__type__':'update','visible':True} print(cmd) p_tts_inference = Popen(cmd, shell=True) - elif(if_tts==False and p_tts_inference!=None): + elif(p_tts_inference!=None): kill_process(p_tts_inference.pid) p_tts_inference=None - yield i18n("TTS推理进程已关闭") + yield i18n("TTS推理进程已关闭"), {'__type__':'update','visible':True}, {'__type__':'update','visible':False} from tools.asr.config import asr_dict def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang, asr_precision): @@ -775,6 +775,8 @@ else: p = Popen(cmd, shell=True) p.wait() +def sync(text): + return {'__type__':'update','value':text} with gr.Blocks(title="GPT-SoVITS WebUI") as app: gr.Markdown( value= @@ -789,8 +791,11 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app: 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 gr.Markdown(value=i18n("0a-UVR5人声伴奏分离&去混响去延迟工具")) with gr.Row(): - 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")) + with gr.Column(scale=3): + with gr.Row(): + uvr5_info = gr.Textbox(label=i18n("UVR5进程输出信息")) + open_uvr5 = gr.Button(value=i18n("开启UVR5-WebUI"),variant="primary",visible=True) + close_uvr5 = gr.Button(value=i18n("关闭UVR5-WebUI"),variant="primary",visible=False) gr.Markdown(value=i18n("0b-语音切分工具")) with gr.Row(): with gr.Column(scale=3): @@ -805,9 +810,9 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app: 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(): _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) + 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) with gr.Row(): + 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")) 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) @@ -890,60 +895,86 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app: gr.Markdown(value=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"), - value="D:\\RVC1006\\GPT-SoVITS\\raw\\xxx.list", - interactive=True, - ) - label_info = gr.Textbox(label=i18n("打标工具进程输出信息")) - if_label.change(change_label, [if_label,path_list], [label_info]) - if_uvr5.change(change_uvr5, [if_uvr5], [uvr5_info]) + with gr.Column(scale=3): + with gr.Row(): + path_list = gr.Textbox( + label=i18n(".list标注文件的路径"), + value="D:\\RVC1006\\GPT-SoVITS\\raw\\xxx.list", + interactive=True, + ) + label_info = gr.Textbox(label=i18n("打标工具进程输出信息")) + + open_label = gr.Button(value=i18n("开启打标WebUI"),variant="primary",visible=True) + close_label = gr.Button(value=i18n("关闭打标WebUI"),variant="primary",visible=False) + open_label.click(change_label, [path_list], [label_info,open_label,close_label]) + close_label.click(change_label, [path_list], [label_info,open_label,close_label]) + open_uvr5.click(change_uvr5, [], [uvr5_info,open_uvr5,close_uvr5]) + close_uvr5.click(change_uvr5, [], [uvr5_info,open_uvr5,close_uvr5]) with gr.TabItem(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) - version_checkbox = gr.Radio(label=i18n("版本"),value=version,choices=['v1','v2']) - pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[-int(version[-1])+2], interactive=True) - pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D"), interactive=True) - pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name[-int(version[-1])+2], interactive=True) + 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) + version_checkbox = gr.Radio(label=i18n("版本"),value=version,choices=['v1','v2']) + with gr.Row(): + pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[-int(version[-1])+2], interactive=True, lines=2, max_lines=3,scale=9) + pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D"), interactive=True, lines=2, max_lines=3,scale=9) + pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name[-int(version[-1])+2], interactive=True, lines=2, max_lines=3,scale=10) with gr.TabItem(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.Row(): - 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"), - # value=r"D:\RVC1006\GPT-SoVITS\raw\xxx", - 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。") - ) + with gr.Row(): + inp_text = gr.Textbox(label=i18n("*文本标注文件"),value=r"D:\RVC1006\GPT-SoVITS\raw\xxx.list",interactive=True,scale=10) + with gr.Row(): + inp_wav_dir = gr.Textbox( + label=i18n("*训练集音频文件目录"), + # value=r"D:\RVC1006\GPT-SoVITS\raw\xxx", + 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。"), scale=10 + ) gr.Markdown(value=i18n("1Aa-文本内容")) with gr.Row(): - 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) - 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")) + with gr.Row(): + 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.Row(): + 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,lines=2) + with gr.Row(): + 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.Row(): + 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")) + 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) + with gr.Row(): + 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,lines=2) + with gr.Row(): + 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.Row(): + 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")) + 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) + with gr.Row(): + pretrained_s2G_ = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[-int(version[-1])+2], interactive=False,lines=2) + with gr.Row(): + 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) + with gr.Row(): + 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(): + 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) + with gr.Row(): + info1abc=gr.Textbox(label=i18n("一键三连进程输出信息")) + pretrained_s2G.change(sync,[pretrained_s2G],[pretrained_s2G_]) open_asr_button.click(open_asr, [asr_inp_dir, asr_opt_dir, asr_model, asr_size, asr_lang, asr_precision], [asr_info,open_asr_button,close_asr_button,path_list,inp_text,inp_wav_dir]) close_asr_button.click(close_asr, [], [asr_info,open_asr_button,close_asr_button]) open_slicer_button.click(open_slice, [slice_inp_path,slice_opt_root,threshold,min_length,min_interval,hop_size,max_sil_kept,_max,alpha,n_process], [slicer_info,open_slicer_button,close_slicer_button,asr_inp_dir,denoise_input_dir,inp_wav_dir]) @@ -962,30 +993,46 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app: with gr.TabItem(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(): - 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) - save_every_epoch = gr.Slider(minimum=1,maximum=25,step=1,label=i18n("保存频率save_every_epoch"),value=4,interactive=True) - 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.Column(): + with gr.Row(): + 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) + with gr.Row(): + 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) + save_every_epoch = gr.Slider(minimum=1,maximum=25,step=1,label=i18n("保存频率save_every_epoch"),value=4,interactive=True) + with gr.Column(): + with gr.Column(): + 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) + 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" % (gpus), interactive=True) with gr.Row(): - 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.Row(): + 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) + with gr.Row(): + info1Ba=gr.Textbox(label=i18n("SoVITS训练进程输出信息")) 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.Row(): - 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) - if_save_latest1Bb = 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_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.Column(): + with gr.Row(): + 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) + with gr.Row(): + save_every_epoch1Bb = gr.Slider(minimum=1,maximum=50,step=1,label=i18n("保存频率save_every_epoch"),value=5,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) + with gr.Column(): + with gr.Column(): + if_save_latest1Bb = 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_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) + with gr.Row(): + 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(): - 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")) + with gr.Row(): + 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) + with gr.Row(): + 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]) @@ -993,15 +1040,21 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app: with gr.TabItem(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(): - GPT_dropdown = gr.Dropdown(label=i18n("*GPT模型列表"), choices=sorted(GPT_names,key=custom_sort_key),value=pretrained_gpt_name[0],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[0],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") + with gr.Row(): + GPT_dropdown = gr.Dropdown(label=i18n("*GPT模型列表"), choices=sorted(GPT_names,key=custom_sort_key),value=pretrained_gpt_name[0],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[0],interactive=True) + with gr.Row(): + 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(): - 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.Row(): + open_tts = gr.Button(value=i18n("开启TTS推理WebUI"),variant='primary',visible=True) + close_tts = gr.Button(value=i18n("关闭TTS推理WebUI"),variant='primary',visible=False) + with gr.Row(): + tts_info = gr.Textbox(label=i18n("TTS推理WebUI进程输出信息")) + open_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown], [tts_info,open_tts,close_tts]) + close_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown], [tts_info,open_tts,close_tts]) version_checkbox.change(switch_version,[version_checkbox],[pretrained_s2G,pretrained_s2D,pretrained_s1,GPT_dropdown,SoVITS_dropdown]) with gr.TabItem(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音")) app.queue(concurrency_count=511, max_size=1022).launch(