若干杂项，界面优化 (#1388)

现支持直接启动inference_webui,支持选择version和i18n
将不同版本模型放在两个文件夹中,启动inference_webui后将根据version选择模型文件夹
训练保存文件夹也将根据verison变化

.gitignore

@@ -10,5 +10,4 @@ reference
 GPT_weights
 SoVITS_weights
 TEMP
-gweight.txt
-sweight.txt
+weight.json

GPT_SoVITS/inference_webui.py

@@ -14,30 +14,32 @@ logging.getLogger("httpx").setLevel(logging.ERROR)
 logging.getLogger("asyncio").setLevel(logging.ERROR)
 logging.getLogger("charset_normalizer").setLevel(logging.ERROR)
 logging.getLogger("torchaudio._extension").setLevel(logging.ERROR)
-import LangSegment, os, re, sys
+import LangSegment, os, re, sys, json
 import pdb
 import torch
 
+if len(sys.argv)==1:sys.argv.append('v1')
 version=os.environ.get("version","v1")
+version="v2"if sys.argv[1]=="v2" else version
+os.environ['version']=version
 language=os.environ.get("language","auto")
+language=sys.argv[-1] if len(sys.argv[-1])==5 else language
 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"
 
-if os.path.exists("./gweight.txt"):
-    with open("./gweight.txt", 'r', encoding="utf-8") as file:
-        gweight_data = file.read()
-        gpt_path = os.environ.get(
-            "gpt_path", gweight_data)
+if os.path.exists(f"./weight.json"):
+    pass
 else:
+    with open(f"./weight.json", 'w', encoding="utf-8") as file:json.dump({'GPT':{},'SoVITS':{}},file)
+
+with open(f"./weight.json", 'r', encoding="utf-8") as file:
+    weight_data = file.read()
+    weight_data=json.loads(weight_data)
     gpt_path = os.environ.get(
-        "gpt_path", pretrained_gpt_name)
+        "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 os.path.exists("./sweight.txt"):
-    with open("./sweight.txt", 'r', encoding="utf-8") as file:
-        sweight_data = file.read()
-        sovits_path = os.environ.get("sovits_path", sweight_data)
-else:
-    sovits_path = os.environ.get("sovits_path", pretrained_sovits_name)
 # gpt_path = os.environ.get(
 #     "gpt_path", pretrained_gpt_name
 # )
@@ -164,8 +166,11 @@ 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))
-    with open("./sweight.txt", "w", encoding="utf-8") as f:
-        f.write(sovits_path)
+    with open("./weight.json")as f:
+            data=f.read()
+            data=json.loads(data)
+            data["SoVITS"][version]=sovits_path
+    with open("./weight.json","w")as f:f.write(json.dumps(data))
 
 
 change_sovits_weights(sovits_path)
@@ -185,7 +190,11 @@ def change_gpt_weights(gpt_path):
     t2s_model.eval()
     total = sum([param.nelement() for param in t2s_model.parameters()])
     print("Number of parameter: %.2fM" % (total / 1e6))
-    with open("./gweight.txt", "w", encoding="utf-8") as f: f.write(gpt_path)
+    with open("./weight.json")as f:
+            data=f.read()
+            data=json.loads(data)
+            data["GPT"][version]=gpt_path
+    with open("./weight.json","w")as f:f.write(json.dumps(data))
 
 
 change_gpt_weights(gpt_path)
@@ -586,10 +595,12 @@ 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"
-GPT_weight_root = "GPT_weights"
-os.makedirs(SoVITS_weight_root, exist_ok=True)
-os.makedirs(GPT_weight_root, exist_ok=True)
+SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
+GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
+os.makedirs("SoVITS_weights",exist_ok=True)
+os.makedirs("GPT_weights",exist_ok=True)
+os.makedirs("SoVITS_weights_v2",exist_ok=True)
+os.makedirs("GPT_weights_v2",exist_ok=True)
 
 
 def get_weights_names():

webui.py

@@ -1,6 +1,7 @@
 import os,shutil,sys,pdb,re
-version="v2"if sys.argv[0]=="v2" else"v1"
-language=sys.argv[-1] if sys.argv[-1]!='v2' and sys.argv[-1]!='v1' else 'auto'
+if len(sys.argv)==1:sys.argv.append('v1')
+version="v2"if sys.argv[1]=="v2" else"v1"
+language=sys.argv[-1] if len(sys.argv[-1])==5 else "auto"
 os.environ["version"]=version
 os.environ["language"]=language
 now_dir = os.getcwd()
@@ -121,10 +122,12 @@ def get_weights_names():
     for name in os.listdir(GPT_weight_root):
         if name.endswith(".ckpt"): GPT_names.append(name)
     return SoVITS_names,GPT_names
-SoVITS_weight_root="SoVITS_weights"
-GPT_weight_root="GPT_weights"
-os.makedirs(SoVITS_weight_root,exist_ok=True)
-os.makedirs(GPT_weight_root,exist_ok=True)
+SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
+GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
+os.makedirs("SoVITS_weights",exist_ok=True)
+os.makedirs("GPT_weights",exist_ok=True)
+os.makedirs("SoVITS_weights_v2",exist_ok=True)
+os.makedirs("GPT_weights_v2",exist_ok=True)
 SoVITS_names,GPT_names = get_weights_names()
 
 def custom_sort_key(s):
@@ -208,7 +211,7 @@ def change_tts_inference(if_tts,bert_path,cnhubert_base_path,gpu_number,gpt_path
         os.environ["is_half"]=str(is_half)
         os.environ["infer_ttswebui"]=str(webui_port_infer_tts)
         os.environ["is_share"]=str(is_share)
-        cmd = '"%s" GPT_SoVITS/inference_webui.py'%(python_exec)
+        cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"'%(python_exec, language)
         yield i18n("TTS推理进程已开启")
         print(cmd)
         p_tts_inference = Popen(cmd, shell=True)