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