More and More Chores

.gitignore

@@ -1,4 +1,5 @@
 .DS_Store
+.vscode
 __pycache__
 *.pyc
 env

GPT_SoVITS/inference_webui.py

@@ -18,12 +18,19 @@ import LangSegment, os, re, sys, json
 import pdb
 import torch
 
-if len(sys.argv)==1:sys.argv.append('v1')
+version=os.environ.get("version","v2")
-version=os.environ.get("version","v1")
+pretrained_sovits_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth", "GPT_SoVITS/pretrained_models/s2G488k.pth"]
-version="v2"if sys.argv[1]=="v2" else version
+pretrained_gpt_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"]
-os.environ['version']=version
+
-pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
+_ =[[],[]]
-pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
+for i in range(2):
+    if os.path.exists(pretrained_gpt_name[i]):
+        _[0].append(pretrained_gpt_name[i])
+    if os.path.exists(pretrained_sovits_name[i]):
+        _[-1].append(pretrained_sovits_name[i])
+pretrained_gpt_name,pretrained_sovits_name = _
+    
+        
 
 if os.path.exists(f"./weight.json"):
     pass
@@ -37,6 +44,10 @@ with open(f"./weight.json", 'r', encoding="utf-8") as file:
         "gpt_path", weight_data.get('GPT',{}).get(version,pretrained_gpt_name))
     sovits_path = os.environ.get(
         "sovits_path", weight_data.get('SoVITS',{}).get(version,pretrained_sovits_name))
+    if isinstance(gpt_path,list):
+        gpt_path = gpt_path[0]
+    if isinstance(sovits_path,list):
+        sovits_path = sovits_path[0]
 
 # gpt_path = os.environ.get(
 #     "gpt_path", pretrained_gpt_name
@@ -87,6 +98,29 @@ if torch.cuda.is_available():
 else:
     device = "cpu"
 
+dict_language_v1 = {
+    i18n("中文"): "all_zh",#全部按中文识别
+    i18n("英文"): "en",#全部按英文识别#######不变
+    i18n("日文"): "all_ja",#全部按日文识别
+    i18n("中英混合"): "zh",#按中英混合识别####不变
+    i18n("日英混合"): "ja",#按日英混合识别####不变
+    i18n("多语种混合"): "auto",#多语种启动切分识别语种
+}
+dict_language_v2 = {
+    i18n("中文"): "all_zh",#全部按中文识别
+    i18n("英文"): "en",#全部按英文识别#######不变
+    i18n("日文"): "all_ja",#全部按日文识别
+    i18n("粤语"): "all_yue",#全部按中文识别
+    i18n("韩文"): "all_ko",#全部按韩文识别
+    i18n("中英混合"): "zh",#按中英混合识别####不变
+    i18n("日英混合"): "ja",#按日英混合识别####不变
+    i18n("粤英混合"): "yue",#按粤英混合识别####不变
+    i18n("韩英混合"): "ko",#按韩英混合识别####不变
+    i18n("多语种混合"): "auto",#多语种启动切分识别语种
+    i18n("多语种混合(粤语)"): "auto_yue",#多语种启动切分识别语种
+}
+dict_language = dict_language_v1 if version =='v1' else dict_language_v2
+
 tokenizer = AutoTokenizer.from_pretrained(bert_path)
 bert_model = AutoModelForMaskedLM.from_pretrained(bert_path)
 if is_half == True:
@@ -146,8 +180,8 @@ else:
     ssl_model = ssl_model.to(device)
 
 
-def change_sovits_weights(sovits_path):
+def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
-    global vq_model, hps
+    global vq_model, hps, version, dict_language
     dict_s2 = torch.load(sovits_path, map_location="cpu")
     hps = dict_s2["config"]
     hps = DictToAttrRecursive(hps)
@@ -156,6 +190,7 @@ def change_sovits_weights(sovits_path):
         hps.model.version = "v1"
     else:
         hps.model.version = "v2"
+    version = hps.model.version
     # print("sovits版本:",hps.model.version)
     vq_model = SynthesizerTrn(
         hps.data.filter_length // 2 + 1,
@@ -171,11 +206,25 @@ def change_sovits_weights(sovits_path):
         vq_model = vq_model.to(device)
     vq_model.eval()
     print(vq_model.load_state_dict(dict_s2["weight"], strict=False))
+    dict_language = dict_language_v1 if version =='v1' else dict_language_v2
     with open("./weight.json")as f:
-            data=f.read()
+        data=f.read()
-            data=json.loads(data)
+        data=json.loads(data)
-            data["SoVITS"][version]=sovits_path
+        data["SoVITS"][version]=sovits_path
     with open("./weight.json","w")as f:f.write(json.dumps(data))
+    if prompt_language is not None and text_language is not None:
+        if prompt_language in list(dict_language.keys()):
+            prompt_text_update, prompt_language_update = {'__type__':'update'},  {'__type__':'update', 'value':prompt_language}
+        else:
+            prompt_text_update = {'__type__':'update', 'value':''}
+            prompt_language_update = {'__type__':'update', 'value':i18n("中文")}
+        if text_language in list(dict_language.keys()):
+            text_update, text_language_update = {'__type__':'update'}, {'__type__':'update', 'value':text_language}
+        else:
+            text_update = {'__type__':'update', 'value':''}
+            text_language_update = {'__type__':'update', 'value':i18n("中文")}
+        return  {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update
+
 
 
 change_sovits_weights(sovits_path)
@@ -196,9 +245,9 @@ def change_gpt_weights(gpt_path):
     total = sum([param.nelement() for param in t2s_model.parameters()])
     print("Number of parameter: %.2fM" % (total / 1e6))
     with open("./weight.json")as f:
-            data=f.read()
+        data=f.read()
-            data=json.loads(data)
+        data=json.loads(data)
-            data["GPT"][version]=gpt_path
+        data["GPT"][version]=gpt_path
     with open("./weight.json","w")as f:f.write(json.dumps(data))
 
 
@@ -220,29 +269,6 @@ def get_spepc(hps, filename):
     )
     return spec
 
-dict_language_v1 = {
-    i18n("中文"): "all_zh",#全部按中文识别
-    i18n("英文"): "en",#全部按英文识别#######不变
-    i18n("日文"): "all_ja",#全部按日文识别
-    i18n("中英混合"): "zh",#按中英混合识别####不变
-    i18n("日英混合"): "ja",#按日英混合识别####不变
-    i18n("多语种混合"): "auto",#多语种启动切分识别语种
-}
-dict_language_v2 = {
-    i18n("中文"): "all_zh",#全部按中文识别
-    i18n("英文"): "en",#全部按英文识别#######不变
-    i18n("日文"): "all_ja",#全部按日文识别
-    i18n("粤语"): "all_yue",#全部按中文识别
-    i18n("韩文"): "all_ko",#全部按韩文识别
-    i18n("中英混合"): "zh",#按中英混合识别####不变
-    i18n("日英混合"): "ja",#按日英混合识别####不变
-    i18n("粤英混合"): "yue",#按粤英混合识别####不变
-    i18n("韩英混合"): "ko",#按韩英混合识别####不变
-    i18n("多语种混合"): "auto",#多语种启动切分识别语种
-    i18n("多语种混合(粤语)"): "auto_yue",#多语种启动切分识别语种
-}
-dict_language = dict_language_v1 if version =='v1' else dict_language_v2
-
 def clean_text_inf(text, language, version):
     phones, word2ph, norm_text = clean_text(text, language, version)
     phones = cleaned_text_to_sequence(phones, version)
@@ -609,21 +635,21 @@ def change_choices():
     return {"choices": sorted(SoVITS_names, key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names, key=custom_sort_key), "__type__": "update"}
 
 
-SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
+SoVITS_weight_root=["SoVITS_weights_v2","SoVITS_weights"]
-GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
+GPT_weight_root=["GPT_weights_v2","GPT_weights"]
-os.makedirs("SoVITS_weights",exist_ok=True)
+for path in SoVITS_weight_root+GPT_weight_root:
-os.makedirs("GPT_weights",exist_ok=True)
+    os.makedirs(path,exist_ok=True)
-os.makedirs("SoVITS_weights_v2",exist_ok=True)
-os.makedirs("GPT_weights_v2",exist_ok=True)
 
 
 def get_weights_names(GPT_weight_root, SoVITS_weight_root):
-    SoVITS_names = [pretrained_sovits_name]
+    SoVITS_names = [i for i in pretrained_sovits_name]
-    for name in os.listdir(SoVITS_weight_root):
+    for path in SoVITS_weight_root:
-        if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (SoVITS_weight_root, name))
+        for name in os.listdir(path):
-    GPT_names = [pretrained_gpt_name]
+            if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (path, name))
-    for name in os.listdir(GPT_weight_root):
+    GPT_names = [i for i in pretrained_gpt_name]
-        if name.endswith(".ckpt"): GPT_names.append("%s/%s" % (GPT_weight_root, name))
+    for path in GPT_weight_root:
+        for name in os.listdir(path):
+            if name.endswith(".ckpt"): GPT_names.append("%s/%s" % (path, name))
     return SoVITS_names, GPT_names
 
 
@@ -639,35 +665,6 @@ def html_left(text, label='p'):
                 <{label} style="margin: 0; padding: 0;">{text}</{label}>
                 </div>"""
 
-def switch_version(version_, prompt_language, text_language,inp_ref):
-    os.environ['version']=version_
-    global pretrained_sovits_name, pretrained_gpt_name, version
-    version = version_
-    print(version)
-    dict_language = dict_language_v1 if version =='v1' else dict_language_v2
-    if prompt_language in list(dict_language.keys()):
-        prompt_text_update, prompt_language_update = {'__type__':'update'},  {'__type__':'update', 'value':prompt_language}
-    else:
-        prompt_text_update = {'__type__':'update', 'value':''}
-        prompt_language_update = {'__type__':'update', 'value':i18n("中文")}
-    if text_language in list(dict_language.keys()):
-        text_update, text_language_update = {'__type__':'update'}, {'__type__':'update', 'value':text_language}
-    else:
-        text_update = {'__type__':'update', 'value':''}
-        text_language_update = {'__type__':'update', 'value':i18n("中文")}
-    SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
-    GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
-    pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
-    pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
-    SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
-    with open(f"./weight.json", 'r', encoding="utf-8") as file:
-        weight_data = file.read()
-        weight_data=json.loads(weight_data)
-        gpt_path = weight_data.get('GPT',{}).get(version,pretrained_gpt_name)
-        sovits_path = weight_data.get('SoVITS',{}).get(version,pretrained_sovits_name)
-    print(gpt_path,sovits_path)
-    return  {'__type__':'update', 'value':gpt_path, 'choices':GPT_names}, {'__type__':'update', 'value':sovits_path, 'choices':SoVITS_names}, {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update
-
 
 with gr.Blocks(title="GPT-SoVITS WebUI") as app:
     gr.Markdown(
@@ -678,11 +675,8 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
         with gr.Row():
             GPT_dropdown = gr.Dropdown(label=i18n("GPT模型列表"), choices=sorted(GPT_names, key=custom_sort_key), value=gpt_path, interactive=True, scale=14)
             SoVITS_dropdown = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=sorted(SoVITS_names, key=custom_sort_key), value=sovits_path, interactive=True, scale=14)
-            refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary", scale=7)
+            refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary", scale=14)
-            version_dropdown = gr.Dropdown(label=i18n("切换模型版本"), choices=['v1','v2'], value=version, scale=7)
             refresh_button.click(fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown])
-            SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown], [])
-            GPT_dropdown.change(change_gpt_weights, [GPT_dropdown], [])
         gr.Markdown(html_center(i18n("*请上传并填写参考信息"),'h3'))
         with gr.Row():
             inp_ref = gr.Audio(label=i18n("请上传3~10秒内参考音频，超过会报错！"), type="filepath", scale=13)
@@ -727,7 +721,8 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             [inp_ref, prompt_text, prompt_language, text, text_language, how_to_cut, top_k, top_p, temperature, ref_text_free,speed,if_freeze],
             [output],
         )
-        version_dropdown.change(switch_version,[version_dropdown,prompt_language,text_language,inp_ref],[GPT_dropdown,SoVITS_dropdown,prompt_language,text_language,prompt_text,prompt_language,text,text_language])
+        SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown,prompt_language,text_language], [prompt_language,text_language,prompt_text,prompt_language,text,text_language])
+        GPT_dropdown.change(change_gpt_weights, [GPT_dropdown], [])
 
         # gr.Markdown(value=i18n("文本切分工具。太长的文本合成出来效果不一定好，所以太长建议先切。合成会根据文本的换行分开合成再拼起来。"))
         # with gr.Row():

webui.py

@@ -1,6 +1,6 @@
 import os,shutil,sys,pdb,re
-if len(sys.argv)==1:sys.argv.append('v1')
+if len(sys.argv)==1:sys.argv.append('v2')
-version="v2"if sys.argv[1]=="v2" else"v1"
+version="v1"if sys.argv[1]=="v1" else"v2"
 os.environ["version"]=version
 now_dir = os.getcwd()
 sys.path.insert(0, now_dir)
@@ -62,8 +62,6 @@ else:
 from scipy.io import wavfile
 from tools.my_utils import load_audio
 from multiprocessing import cpu_count
-from text.g2pw import G2PWPinyin
-g2pw = G2PWPinyin(model_dir="GPT_SoVITS/text/G2PWModel",model_source="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",v_to_u=False, neutral_tone_with_five=True)
 # os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # 当遇到mps不支持的步骤时使用cpu
 
 n_cpu=cpu_count()
@@ -113,23 +111,43 @@ def fix_gpu_numbers(inputs):
         return ",".join(output)
     except:
         return inputs
-pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
+
-pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
+def get_weights_names(GPT_weight_root, SoVITS_weight_root):
-def get_weights_names():
+    SoVITS_names = [i for i in pretrained_sovits_name]
-    SoVITS_names = [pretrained_sovits_name]
+    for path in SoVITS_weight_root:
-    for name in os.listdir(SoVITS_weight_root):
+        for name in os.listdir(path):
-        if name.endswith(".pth"):SoVITS_names.append(name)
+            if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (path, name))
-    GPT_names = [pretrained_gpt_name]
+    GPT_names = [i for i in pretrained_gpt_name]
-    for name in os.listdir(GPT_weight_root):
+    for path in GPT_weight_root:
-        if name.endswith(".ckpt"): GPT_names.append(name)
+        for name in os.listdir(path):
-    return SoVITS_names,GPT_names
+            if name.endswith(".ckpt"): GPT_names.append("%s/%s" % (path, name))
-SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
+    return SoVITS_names, GPT_names
-GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
+
-os.makedirs("SoVITS_weights",exist_ok=True)
+pretrained_sovits_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth", "GPT_SoVITS/pretrained_models/s2G488k.pth"]
-os.makedirs("GPT_weights",exist_ok=True)
+pretrained_gpt_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"]
-os.makedirs("SoVITS_weights_v2",exist_ok=True)
+
-os.makedirs("GPT_weights_v2",exist_ok=True)
+pretrained_model_list = (pretrained_sovits_name[-int(version[-1])+2],pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D"),pretrained_gpt_name[-int(version[-1])+2],"GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large","GPT_SoVITS/pretrained_models/chinese-hubert-base")
-SoVITS_names,GPT_names = get_weights_names()
+
+_=''
+for i in pretrained_model_list:
+    if os.path.exists(i):...
+    else:_+=f'\n    {i}'
+if _:raise FileExistsError(i18n('以下模型不存在:')+_)
+
+_ =[[],[]]
+for i in range(2):
+    if os.path.exists(pretrained_gpt_name[i]):
+        _[0].append(pretrained_gpt_name[i])
+    if os.path.exists(pretrained_sovits_name[i]):
+        _[-1].append(pretrained_sovits_name[i])
+pretrained_gpt_name,pretrained_sovits_name = _
+
+SoVITS_weight_root=["SoVITS_weights_v2","SoVITS_weights"]
+GPT_weight_root=["GPT_weights_v2","GPT_weights"]
+SoVITS_names,GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
+for path in SoVITS_weight_root+GPT_weight_root:
+    os.makedirs(path,exist_ok=True)
+
 
 def custom_sort_key(s):
     # 使用正则表达式提取字符串中的数字部分和非数字部分
@@ -300,6 +318,7 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
         data["data"]["exp_dir"]=data["s2_ckpt_dir"]=s2_dir
         data["save_weight_dir"]=SoVITS_weight_root
         data["name"]=exp_name
+        data["version"]=version
         tmp_config_path="%s/tmp_s2.json"%tmp
         with open(tmp_config_path,"w")as f:f.write(json.dumps(data))
 
@@ -344,6 +363,7 @@ def open1Bb(batch_size,total_epoch,exp_name,if_dpo,if_save_latest,if_save_every_
         data["train_semantic_path"]="%s/6-name2semantic.tsv"%s1_dir
         data["train_phoneme_path"]="%s/2-name2text.txt"%s1_dir
         data["output_dir"]="%s/logs_s1"%s1_dir
+        data["version"]=version
 
         os.environ["_CUDA_VISIBLE_DEVICES"]=fix_gpu_numbers(gpu_numbers.replace("-",","))
         os.environ["hz"]="25hz"
@@ -703,6 +723,20 @@ def close1abc():
         ps1abc=[]
     return "已终止所有一键三连进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
 
+def switch_version(version_):
+    os.environ['version']=version_
+    global version
+    version = version_
+
+    if len(pretrained_gpt_name) > 1 and len(pretrained_sovits_name) > 1:
+        return  {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D")}, {'__type__':'update', 'value':pretrained_gpt_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_gpt_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2]}
+    else:
+        raise gr.Error(i18n('未下载V1模型'))
+
+
+from text.g2pw import G2PWPinyin
+g2pw = G2PWPinyin(model_dir="GPT_SoVITS/text/G2PWModel",model_source="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",v_to_u=False, neutral_tone_with_five=True)
+
 with gr.Blocks(title="GPT-SoVITS WebUI") as app:
     gr.Markdown(
         value=
@@ -832,9 +866,10 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             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=pretrained_sovits_name, interactive=True)
+                version_checkbox = gr.Radio(label=i18n("版本"),value='v2',choices=['v1','v2'])
-                pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name.replace("s2G","s2D"), interactive=True)
+                pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[0], interactive=True)
-                pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name, interactive=True)
+                pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name[0].replace("s2G","s2D"), interactive=True)
+                pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name[0], interactive=True)
             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():
@@ -877,7 +912,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             close_slicer_button.click(close_slice, [], [slicer_info,open_slicer_button,close_slicer_button])
             open_denoise_button.click(open_denoise, [denoise_input_dir,denoise_output_dir], [denoise_info,open_denoise_button,close_denoise_button,asr_inp_dir,inp_wav_dir])
             close_denoise_button.click(close_denoise, [], [denoise_info,open_denoise_button,close_denoise_button])
-
+            
             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])
@@ -920,8 +955,8 @@ 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,interactive=True)
+                    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,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")
                     refresh_button.click(fn=change_choices,inputs=[],outputs=[SoVITS_dropdown,GPT_dropdown])
@@ -929,6 +964,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                     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])
+            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(
         server_name="0.0.0.0",