| import sys,os
|
|
|
| import torch
|
|
|
|
|
| sovits_path = ""
|
| gpt_path = ""
|
| is_half_str = os.environ.get("is_half", "True")
|
| is_half = True if is_half_str.lower() == 'true' else False
|
| is_share_str = os.environ.get("is_share","False")
|
| is_share= True if is_share_str.lower() == 'true' else False
|
|
|
| cnhubert_path = "GPT_SoVITS/pretrained_models/chinese-hubert-base"
|
| bert_path = "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large"
|
| pretrained_sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth"
|
| pretrained_gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
|
|
|
| exp_root = "logs"
|
| python_exec = sys.executable or "python"
|
| if torch.cuda.is_available():
|
| infer_device = "cuda"
|
| else:
|
| infer_device = "cpu"
|
|
|
| webui_port_main = 9874
|
| webui_port_uvr5 = 9873
|
| webui_port_infer_tts = 9872
|
| webui_port_subfix = 9871
|
|
|
| api_port = 9880
|
|
|
| if infer_device == "cuda":
|
| gpu_name = torch.cuda.get_device_name(0)
|
| if (
|
| ("16" in gpu_name and "V100" not in gpu_name.upper())
|
| or "P40" in gpu_name.upper()
|
| or "P10" in gpu_name.upper()
|
| or "1060" in gpu_name
|
| or "1070" in gpu_name
|
| or "1080" in gpu_name
|
| ):
|
| is_half=False
|
|
|
| if(infer_device=="cpu"):is_half=False
|
|
|
| class Config:
|
| def __init__(self):
|
| self.sovits_path = sovits_path
|
| self.gpt_path = gpt_path
|
| self.is_half = is_half
|
|
|
| self.cnhubert_path = cnhubert_path
|
| self.bert_path = bert_path
|
| self.pretrained_sovits_path = pretrained_sovits_path
|
| self.pretrained_gpt_path = pretrained_gpt_path
|
|
|
| self.exp_root = exp_root
|
| self.python_exec = python_exec
|
| self.infer_device = infer_device
|
|
|
| self.webui_port_main = webui_port_main
|
| self.webui_port_uvr5 = webui_port_uvr5
|
| self.webui_port_infer_tts = webui_port_infer_tts
|
| self.webui_port_subfix = webui_port_subfix
|
|
|
| self.api_port = api_port
|
|
|
