mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-10-07 23:48:48 +08:00
626 lines
26 KiB
Python
626 lines
26 KiB
Python
import os,shutil,sys,pdb,re
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now_dir = os.getcwd()
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sys.path.append(now_dir)
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import json,yaml,warnings,torch
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import platform
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import psutil
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import signal
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warnings.filterwarnings("ignore")
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torch.manual_seed(233333)
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tmp = os.path.join(now_dir, "TEMP")
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os.makedirs(tmp, exist_ok=True)
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os.environ["TEMP"] = tmp
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if(os.path.exists(tmp)):
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for name in os.listdir(tmp):
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if(name=="jieba.cache"):continue
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path="%s/%s"%(tmp,name)
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delete=os.remove if os.path.isfile(path) else shutil.rmtree
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try:
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delete(path)
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except Exception as e:
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print(str(e))
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pass
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import site
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site_packages_roots = []
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for path in site.getsitepackages():
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if "packages" in path:
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site_packages_roots.append(path)
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if(site_packages_roots==[]):site_packages_roots=["%s/runtime/Lib/site-packages" % now_dir]
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#os.environ["OPENBLAS_NUM_THREADS"] = "4"
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os.environ["no_proxy"] = "localhost, 127.0.0.1, ::1"
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os.environ["all_proxy"] = ""
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for site_packages_root in site_packages_roots:
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if os.path.exists(site_packages_root):
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try:
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with open("%s/users.pth" % (site_packages_root), "w") as f:
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f.write(
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"%s\n%s/tools\n%s/tools/damo_asr\n%s/GPT_SoVITS\n%s/tools/uvr5"
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% (now_dir, now_dir, now_dir, now_dir, now_dir)
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)
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break
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except PermissionError:
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pass
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from tools import my_utils
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import traceback
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import shutil
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import pdb
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from subprocess import Popen
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import signal
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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
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from tools.i18n.i18n import I18nAuto
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i18n = I18nAuto()
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from scipy.io import wavfile
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from tools.my_utils import load_audio
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from multiprocessing import cpu_count
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os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # 当遇到mps不支持的步骤时使用cpu
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n_cpu=cpu_count()
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ngpu = torch.cuda.device_count()
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gpu_infos = []
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mem = []
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if_gpu_ok = False
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# 判断是否有能用来训练和加速推理的N卡
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if torch.cuda.is_available() or ngpu != 0:
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for i in range(ngpu):
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gpu_name = torch.cuda.get_device_name(i)
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if any(value in gpu_name.upper()for value in ["10","16","20","30","40","A2","A3","A4","P4","A50","500","A60","70","80","90","M4","T4","TITAN","L4","4060"]):
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# A10#A100#V100#A40#P40#M40#K80#A4500
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if_gpu_ok = True # 至少有一张能用的N卡
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gpu_infos.append("%s\t%s" % (i, gpu_name))
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mem.append(int(torch.cuda.get_device_properties(i).total_memory/ 1024/ 1024/ 1024+ 0.4))
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# 判断是否支持mps加速
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if torch.backends.mps.is_available():
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if_gpu_ok = True
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gpu_infos.append("%s\t%s" % ("0", "Apple GPU"))
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mem.append(psutil.virtual_memory().total/ 1024 / 1024 / 1024) # 实测使用系统内存作为显存不会爆显存
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if if_gpu_ok and len(gpu_infos) > 0:
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gpu_info = "\n".join(gpu_infos)
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default_batch_size = min(mem) // 2
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else:
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gpu_info = i18n("很遗憾您这没有能用的显卡来支持您训练")
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default_batch_size = 1
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gpus = "-".join([i[0] for i in gpu_infos])
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pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"
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pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
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def get_weights_names():
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SoVITS_names = [pretrained_sovits_name]
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for name in os.listdir(SoVITS_weight_root):
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if name.endswith(".pth"):SoVITS_names.append(name)
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GPT_names = [pretrained_gpt_name]
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for name in os.listdir(GPT_weight_root):
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if name.endswith(".ckpt"): GPT_names.append(name)
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return SoVITS_names,GPT_names
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SoVITS_weight_root="SoVITS_weights"
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GPT_weight_root="GPT_weights"
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os.makedirs(SoVITS_weight_root,exist_ok=True)
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os.makedirs(GPT_weight_root,exist_ok=True)
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SoVITS_names,GPT_names = get_weights_names()
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def custom_sort_key(s):
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# 使用正则表达式提取字符串中的数字部分和非数字部分
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parts = re.split('(\d+)', s)
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# 将数字部分转换为整数，非数字部分保持不变
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parts = [int(part) if part.isdigit() else part for part in parts]
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return parts
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def change_choices():
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SoVITS_names, GPT_names = get_weights_names()
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return {"choices": sorted(SoVITS_names,key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names,key=custom_sort_key), "__type__": "update"}
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p_label=None
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p_uvr5=None
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p_asr=None
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def kill_proc_tree(pid, including_parent=True):
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try:
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parent = psutil.Process(pid)
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except psutil.NoSuchProcess:
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# Process already terminated
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return
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children = parent.children(recursive=True)
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for child in children:
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try:
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os.kill(child.pid, signal.SIGTERM) # or signal.SIGKILL
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except OSError:
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pass
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if including_parent:
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try:
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os.kill(parent.pid, signal.SIGTERM) # or signal.SIGKILL
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except OSError:
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pass
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system=platform.system()
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def kill_process(pid):
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if(system=="Windows"):
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cmd = "taskkill /t /f /pid %s" % pid
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os.system(cmd)
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else:
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kill_proc_tree(pid)
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def change_label(if_label,path_list):
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global p_label
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if(if_label==True and p_label==None):
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path_list=my_utils.clean_path(path_list)
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cmd = '"%s" tools/subfix_webui.py --load_list "%s" --webui_port %s --is_share %s'%(python_exec,path_list,webui_port_subfix,is_share)
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yield i18n("打标工具WebUI已开启")
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print(cmd)
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p_label = Popen(cmd, shell=True)
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elif(if_label==False and p_label!=None):
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kill_process(p_label.pid)
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p_label=None
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yield i18n("打标工具WebUI已关闭")
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def change_uvr5(if_uvr5):
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global p_uvr5
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if(if_uvr5==True and p_uvr5==None):
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cmd = '"%s" tools/uvr5/webui.py "%s" %s %s %s'%(python_exec,infer_device,is_half,webui_port_uvr5,is_share)
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yield i18n("UVR5已开启")
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print(cmd)
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p_uvr5 = Popen(cmd, shell=True)
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elif(if_uvr5==False and p_uvr5!=None):
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kill_process(p_uvr5.pid)
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p_uvr5=None
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yield i18n("UVR5已关闭")
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from tools.asr.config import asr_dict
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def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang):
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global p_asr
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if(p_asr==None):
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asr_inp_dir=my_utils.clean_path(asr_inp_dir)
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cmd = f'"{python_exec}" tools/asr/{asr_dict[asr_model]["path"]}'
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cmd += f' -i "{asr_inp_dir}"'
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cmd += f' -o "{asr_opt_dir}"'
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cmd += f' -s {asr_model_size}'
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cmd += f' -l {asr_lang}'
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cmd += " -p %s"%("float16"if is_half==True else "float32")
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yield "ASR任务开启：%s"%cmd,{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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print(cmd)
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p_asr = Popen(cmd, shell=True)
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p_asr.wait()
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p_asr=None
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yield f"ASR任务完成, 查看终端进行下一步",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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else:
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yield "已有正在进行的ASR任务，需先终止才能开启下一次任务",{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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# return None
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def close_asr():
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global p_asr
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if(p_asr!=None):
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kill_process(p_asr.pid)
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p_asr=None
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return "已终止ASR进程",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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p_train_SoVITS=None
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def 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):
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global p_train_SoVITS
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if(p_train_SoVITS==None):
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with open("GPT_SoVITS/configs/s2.json")as f:
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data=f.read()
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data=json.loads(data)
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s2_dir="%s/%s"%(exp_root,exp_name)
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os.makedirs("%s/logs_s2"%(s2_dir),exist_ok=True)
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if(is_half==False):
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data["train"]["fp16_run"]=False
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batch_size=max(1,batch_size//2)
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data["train"]["batch_size"]=batch_size
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data["train"]["epochs"]=total_epoch
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data["train"]["text_low_lr_rate"]=text_low_lr_rate
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data["train"]["pretrained_s2G"]=pretrained_s2G
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data["train"]["pretrained_s2D"]=pretrained_s2D
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data["train"]["if_save_latest"]=if_save_latest
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data["train"]["if_save_every_weights"]=if_save_every_weights
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data["train"]["save_every_epoch"]=save_every_epoch
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data["train"]["gpu_numbers"]=gpu_numbers1Ba
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data["data"]["exp_dir"]=data["s2_ckpt_dir"]=s2_dir
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data["save_weight_dir"]=SoVITS_weight_root
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data["name"]=exp_name
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tmp_config_path="%s/tmp_s2.json"%tmp
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with open(tmp_config_path,"w")as f:f.write(json.dumps(data))
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cmd = '"%s" GPT_SoVITS/s2_train.py --config "%s"'%(python_exec,tmp_config_path)
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yield "SoVITS训练开始：%s"%cmd,{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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print(cmd)
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p_train_SoVITS = Popen(cmd, shell=True)
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p_train_SoVITS.wait()
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p_train_SoVITS=None
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yield "SoVITS训练完成",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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else:
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yield "已有正在进行的SoVITS训练任务，需先终止才能开启下一次任务",{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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def close1Ba():
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global p_train_SoVITS
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if(p_train_SoVITS!=None):
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kill_process(p_train_SoVITS.pid)
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p_train_SoVITS=None
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return "已终止SoVITS训练",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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p_train_GPT=None
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def open1Bb(batch_size,total_epoch,exp_name,if_dpo,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers,pretrained_s1):
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global p_train_GPT
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if(p_train_GPT==None):
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with open("GPT_SoVITS/configs/s1longer.yaml")as f:
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data=f.read()
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data=yaml.load(data, Loader=yaml.FullLoader)
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s1_dir="%s/%s"%(exp_root,exp_name)
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os.makedirs("%s/logs_s1"%(s1_dir),exist_ok=True)
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if(is_half==False):
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data["train"]["precision"]="32"
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batch_size = max(1, batch_size // 2)
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data["train"]["batch_size"]=batch_size
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data["train"]["epochs"]=total_epoch
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data["pretrained_s1"]=pretrained_s1
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data["train"]["save_every_n_epoch"]=save_every_epoch
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data["train"]["if_save_every_weights"]=if_save_every_weights
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data["train"]["if_save_latest"]=if_save_latest
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data["train"]["if_dpo"]=if_dpo
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data["train"]["half_weights_save_dir"]=GPT_weight_root
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data["train"]["exp_name"]=exp_name
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data["train_semantic_path"]="%s/6-name2semantic.tsv"%s1_dir
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data["train_phoneme_path"]="%s/2-name2text.txt"%s1_dir
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data["output_dir"]="%s/logs_s1"%s1_dir
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os.environ["_CUDA_VISIBLE_DEVICES"]=gpu_numbers.replace("-",",")
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os.environ["hz"]="25hz"
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tmp_config_path="%s/tmp_s1.yaml"%tmp
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with open(tmp_config_path, "w") as f:f.write(yaml.dump(data, default_flow_style=False))
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# cmd = '"%s" GPT_SoVITS/s1_train.py --config_file "%s" --train_semantic_path "%s/6-name2semantic.tsv" --train_phoneme_path "%s/2-name2text.txt" --output_dir "%s/logs_s1"'%(python_exec,tmp_config_path,s1_dir,s1_dir,s1_dir)
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cmd = '"%s" GPT_SoVITS/s1_train.py --config_file "%s" '%(python_exec,tmp_config_path)
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yield "GPT训练开始：%s"%cmd,{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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print(cmd)
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p_train_GPT = Popen(cmd, shell=True)
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p_train_GPT.wait()
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p_train_GPT=None
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yield "GPT训练完成",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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else:
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yield "已有正在进行的GPT训练任务，需先终止才能开启下一次任务",{"__type__":"update","visible":False},{"__type__":"update","visible":True}
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def close1Bb():
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global p_train_GPT
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if(p_train_GPT!=None):
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kill_process(p_train_GPT.pid)
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p_train_GPT=None
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return "已终止GPT训练",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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ps_slice=[]
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def open_slice(inp,opt_root,threshold,min_length,min_interval,hop_size,max_sil_kept,_max,alpha,n_parts):
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global ps_slice
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inp = my_utils.clean_path(inp)
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opt_root = my_utils.clean_path(opt_root)
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if(os.path.exists(inp)==False):
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yield "输入路径不存在",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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return
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if os.path.isfile(inp):n_parts=1
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elif os.path.isdir(inp):pass
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else:
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yield "输入路径存在但既不是文件也不是文件夹",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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return
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if (ps_slice == []):
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for i_part in range(n_parts):
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cmd = '"%s" tools/slice_audio.py "%s" "%s" %s %s %s %s %s %s %s %s %s''' % (python_exec,inp, opt_root, threshold, min_length, min_interval, hop_size, max_sil_kept, _max, alpha, i_part, n_parts)
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print(cmd)
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p = Popen(cmd, shell=True)
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ps_slice.append(p)
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yield "切割执行中", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
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for p in ps_slice:
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p.wait()
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ps_slice=[]
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yield "切割结束",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
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else:
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yield "已有正在进行的切割任务，需先终止才能开启下一次任务", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
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def close_slice():
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global ps_slice
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if (ps_slice != []):
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for p_slice in ps_slice:
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try:
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kill_process(p_slice.pid)
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except:
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traceback.print_exc()
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ps_slice=[]
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return "已终止所有切割进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
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ps1a=[]
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def open1a(inp_text,inp_wav_dir,exp_name,gpu_numbers,bert_pretrained_dir):
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global ps1a
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inp_text = my_utils.clean_path(inp_text)
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inp_wav_dir = my_utils.clean_path(inp_wav_dir)
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if (ps1a == []):
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opt_dir="%s/%s"%(exp_root,exp_name)
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config={
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"inp_text":inp_text,
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"inp_wav_dir":inp_wav_dir,
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"exp_name":exp_name,
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"opt_dir":opt_dir,
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"bert_pretrained_dir":bert_pretrained_dir,
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}
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gpu_names=gpu_numbers.split("-")
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all_parts=len(gpu_names)
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for i_part in range(all_parts):
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config.update(
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{
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"i_part": str(i_part),
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"all_parts": str(all_parts),
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"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
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"is_half": str(is_half)
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}
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)
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os.environ.update(config)
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cmd = '"%s" GPT_SoVITS/prepare_datasets/1-get-text.py'%python_exec
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print(cmd)
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p = Popen(cmd, shell=True)
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ps1a.append(p)
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yield "文本进程执行中", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
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for p in ps1a:
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p.wait()
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opt = []
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for i_part in range(all_parts):
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txt_path = "%s/2-name2text-%s.txt" % (opt_dir, i_part)
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with open(txt_path, "r", encoding="utf8") as f:
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opt += f.read().strip("\n").split("\n")
|
||
os.remove(txt_path)
|
||
path_text = "%s/2-name2text.txt" % opt_dir
|
||
with open(path_text, "w", encoding="utf8") as f:
|
||
f.write("\n".join(opt) + "\n")
|
||
ps1a=[]
|
||
yield "文本进程结束",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
|
||
else:
|
||
yield "已有正在进行的文本任务，需先终止才能开启下一次任务", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
|
||
def close1a():
|
||
global ps1a
|
||
if (ps1a != []):
|
||
for p1a in ps1a:
|
||
try:
|
||
kill_process(p1a.pid)
|
||
except:
|
||
traceback.print_exc()
|
||
ps1a=[]
|
||
return "已终止所有1a进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||
|
||
ps1b=[]
|
||
def open1b(inp_text,inp_wav_dir,exp_name,gpu_numbers,ssl_pretrained_dir):
|
||
global ps1b
|
||
inp_text = my_utils.clean_path(inp_text)
|
||
inp_wav_dir = my_utils.clean_path(inp_wav_dir)
|
||
if (ps1b == []):
|
||
config={
|
||
"inp_text":inp_text,
|
||
"inp_wav_dir":inp_wav_dir,
|
||
"exp_name":exp_name,
|
||
"opt_dir":"%s/%s"%(exp_root,exp_name),
|
||
"cnhubert_base_dir":ssl_pretrained_dir,
|
||
"is_half": str(is_half)
|
||
}
|
||
gpu_names=gpu_numbers.split("-")
|
||
all_parts=len(gpu_names)
|
||
for i_part in range(all_parts):
|
||
config.update(
|
||
{
|
||
"i_part": str(i_part),
|
||
"all_parts": str(all_parts),
|
||
"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
|
||
}
|
||
)
|
||
os.environ.update(config)
|
||
cmd = '"%s" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py'%python_exec
|
||
print(cmd)
|
||
p = Popen(cmd, shell=True)
|
||
ps1b.append(p)
|
||
yield "SSL提取进程执行中", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
for p in ps1b:
|
||
p.wait()
|
||
ps1b=[]
|
||
yield "SSL提取进程结束",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
|
||
else:
|
||
yield "已有正在进行的SSL提取任务，需先终止才能开启下一次任务", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
|
||
def close1b():
|
||
global ps1b
|
||
if (ps1b != []):
|
||
for p1b in ps1b:
|
||
try:
|
||
kill_process(p1b.pid)
|
||
except:
|
||
traceback.print_exc()
|
||
ps1b=[]
|
||
return "已终止所有1b进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||
|
||
ps1c=[]
|
||
def open1c(inp_text,exp_name,gpu_numbers,pretrained_s2G_path):
|
||
global ps1c
|
||
inp_text = my_utils.clean_path(inp_text)
|
||
if (ps1c == []):
|
||
opt_dir="%s/%s"%(exp_root,exp_name)
|
||
config={
|
||
"inp_text":inp_text,
|
||
"exp_name":exp_name,
|
||
"opt_dir":opt_dir,
|
||
"pretrained_s2G":pretrained_s2G_path,
|
||
"s2config_path":"GPT_SoVITS/configs/s2.json",
|
||
"is_half": str(is_half)
|
||
}
|
||
gpu_names=gpu_numbers.split("-")
|
||
all_parts=len(gpu_names)
|
||
for i_part in range(all_parts):
|
||
config.update(
|
||
{
|
||
"i_part": str(i_part),
|
||
"all_parts": str(all_parts),
|
||
"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
|
||
}
|
||
)
|
||
os.environ.update(config)
|
||
cmd = '"%s" GPT_SoVITS/prepare_datasets/3-get-semantic.py'%python_exec
|
||
print(cmd)
|
||
p = Popen(cmd, shell=True)
|
||
ps1c.append(p)
|
||
yield "语义token提取进程执行中", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
for p in ps1c:
|
||
p.wait()
|
||
opt = ["item_name\tsemantic_audio"]
|
||
path_semantic = "%s/6-name2semantic.tsv" % opt_dir
|
||
for i_part in range(all_parts):
|
||
semantic_path = "%s/6-name2semantic-%s.tsv" % (opt_dir, i_part)
|
||
with open(semantic_path, "r", encoding="utf8") as f:
|
||
opt += f.read().strip("\n").split("\n")
|
||
os.remove(semantic_path)
|
||
with open(path_semantic, "w", encoding="utf8") as f:
|
||
f.write("\n".join(opt) + "\n")
|
||
ps1c=[]
|
||
yield "语义token提取进程结束",{"__type__":"update","visible":True},{"__type__":"update","visible":False}
|
||
else:
|
||
yield "已有正在进行的语义token提取任务，需先终止才能开启下一次任务", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
|
||
def close1c():
|
||
global ps1c
|
||
if (ps1c != []):
|
||
for p1c in ps1c:
|
||
try:
|
||
kill_process(p1c.pid)
|
||
except:
|
||
traceback.print_exc()
|
||
ps1c=[]
|
||
return "已终止所有语义token进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||
#####inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numbers1c,bert_pretrained_dir,cnhubert_base_dir,pretrained_s2G
|
||
ps1abc=[]
|
||
def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numbers1c,bert_pretrained_dir,ssl_pretrained_dir,pretrained_s2G_path):
|
||
global ps1abc
|
||
inp_text = my_utils.clean_path(inp_text)
|
||
inp_wav_dir = my_utils.clean_path(inp_wav_dir)
|
||
if (ps1abc == []):
|
||
opt_dir="%s/%s"%(exp_root,exp_name)
|
||
try:
|
||
#############################1a
|
||
path_text="%s/2-name2text.txt" % opt_dir
|
||
if(os.path.exists(path_text)==False or (os.path.exists(path_text)==True and len(open(path_text,"r",encoding="utf8").read().strip("\n").split("\n"))<2)):
|
||
config={
|
||
"inp_text":inp_text,
|
||
"inp_wav_dir":inp_wav_dir,
|
||
"exp_name":exp_name,
|
||
"opt_dir":opt_dir,
|
||
"bert_pretrained_dir":bert_pretrained_dir,
|
||
"is_half": str(is_half)
|
||
}
|
||
gpu_names=gpu_numbers1a.split("-")
|
||
all_parts=len(gpu_names)
|
||
for i_part in range(all_parts):
|
||
config.update(
|
||
{
|
||
"i_part": str(i_part),
|
||
"all_parts": str(all_parts),
|
||
"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
|
||
}
|
||
)
|
||
os.environ.update(config)
|
||
cmd = '"%s" GPT_SoVITS/prepare_datasets/1-get-text.py'%python_exec
|
||
print(cmd)
|
||
p = Popen(cmd, shell=True)
|
||
ps1abc.append(p)
|
||
yield "进度：1a-ing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
for p in ps1abc:p.wait()
|
||
|
||
opt = []
|
||
for i_part in range(all_parts):#txt_path="%s/2-name2text-%s.txt"%(opt_dir,i_part)
|
||
txt_path = "%s/2-name2text-%s.txt" % (opt_dir, i_part)
|
||
with open(txt_path, "r",encoding="utf8") as f:
|
||
opt += f.read().strip("\n").split("\n")
|
||
os.remove(txt_path)
|
||
with open(path_text, "w",encoding="utf8") as f:
|
||
f.write("\n".join(opt) + "\n")
|
||
|
||
yield "进度：1a-done", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
ps1abc=[]
|
||
#############################1b
|
||
config={
|
||
"inp_text":inp_text,
|
||
"inp_wav_dir":inp_wav_dir,
|
||
"exp_name":exp_name,
|
||
"opt_dir":opt_dir,
|
||
"cnhubert_base_dir":ssl_pretrained_dir,
|
||
}
|
||
gpu_names=gpu_numbers1Ba.split("-")
|
||
all_parts=len(gpu_names)
|
||
for i_part in range(all_parts):
|
||
config.update(
|
||
{
|
||
"i_part": str(i_part),
|
||
"all_parts": str(all_parts),
|
||
"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
|
||
}
|
||
)
|
||
os.environ.update(config)
|
||
cmd = '"%s" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py'%python_exec
|
||
print(cmd)
|
||
p = Popen(cmd, shell=True)
|
||
ps1abc.append(p)
|
||
yield "进度：1a-done, 1b-ing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
for p in ps1abc:p.wait()
|
||
yield "进度：1a1b-done", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
ps1abc=[]
|
||
#############################1c
|
||
path_semantic = "%s/6-name2semantic.tsv" % opt_dir
|
||
if(os.path.exists(path_semantic)==False or (os.path.exists(path_semantic)==True and os.path.getsize(path_semantic)<31)):
|
||
config={
|
||
"inp_text":inp_text,
|
||
"exp_name":exp_name,
|
||
"opt_dir":opt_dir,
|
||
"pretrained_s2G":pretrained_s2G_path,
|
||
"s2config_path":"GPT_SoVITS/configs/s2.json",
|
||
}
|
||
gpu_names=gpu_numbers1c.split("-")
|
||
all_parts=len(gpu_names)
|
||
for i_part in range(all_parts):
|
||
config.update(
|
||
{
|
||
"i_part": str(i_part),
|
||
"all_parts": str(all_parts),
|
||
"_CUDA_VISIBLE_DEVICES": gpu_names[i_part],
|
||
}
|
||
)
|
||
os.environ.update(config)
|
||
cmd = '"%s" GPT_SoVITS/prepare_datasets/3-get-semantic.py'%python_exec
|
||
print(cmd)
|
||
p = Popen(cmd, shell=True)
|
||
ps1abc.append(p)
|
||
yield "进度：1a1b-done, 1cing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
for p in ps1abc:p.wait()
|
||
|
||
opt = ["item_name\tsemantic_audio"]
|
||
for i_part in range(all_parts):
|
||
semantic_path = "%s/6-name2semantic-%s.tsv" % (opt_dir, i_part)
|
||
with open(semantic_path, "r",encoding="utf8") as f:
|
||
opt += f.read().strip("\n").split("\n")
|
||
os.remove(semantic_path)
|
||
with open(path_semantic, "w",encoding="utf8") as f:
|
||
f.write("\n".join(opt) + "\n")
|
||
yield "进度：all-done", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
ps1abc = []
|
||
yield "一键三连进程结束", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||
except:
|
||
traceback.print_exc()
|
||
close1abc()
|
||
yield "一键三连中途报错", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||
else:
|
||
yield "已有正在进行的一键三连任务，需先终止才能开启下一次任务", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||
|
||
def close1abc():
|
||
global ps1abc
|
||
if (ps1abc != []):
|
||
for p1abc in ps1abc:
|
||
try:
|
||
kill_process(p1abc.pid)
|
||
except:
|
||
traceback.print_exc()
|
||
ps1abc=[]
|
||
return "已终止所有一键三连进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|