security: replace eval() with safe boolean parsing

Replace all uses of eval() on environment variables and command-line
arguments with safe string comparison. eval() allows arbitrary code
execution when given untrusted input, making it a security risk.

The fix uses .lower() in ("true", "1", "yes") which produces
identical behavior for all valid boolean inputs while preventing
code injection. This pattern is already used in config.py.

Affected files (10 call sites):
- GPT_SoVITS/inference_webui.py (is_share, is_half)
- GPT_SoVITS/inference_webui_fast.py (is_share, is_half)
- GPT_SoVITS/prepare_datasets/1-get-text.py (is_half)
- GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py (is_half)
- GPT_SoVITS/prepare_datasets/2-get-sv.py (is_half)
- GPT_SoVITS/prepare_datasets/3-get-semantic.py (is_half)
- tools/uvr5/webui.py (is_half, is_share)
- tools/subfix_webui.py (is_share)

GPT_SoVITS/inference_webui.py

@@ -83,11 +83,10 @@ cnhubert_base_path = os.environ.get("cnhubert_base_path", "GPT_SoVITS/pretrained
 bert_path = os.environ.get("bert_path", "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large")
 infer_ttswebui = os.environ.get("infer_ttswebui", 9872)
 infer_ttswebui = int(infer_ttswebui)
-is_share = os.environ.get("is_share", "False")
-is_share = eval(is_share)
+is_share = os.environ.get("is_share", "False").lower() in ("true", "1", "yes")
 if "_CUDA_VISIBLE_DEVICES" in os.environ:
     os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 # is_half=False
 punctuation = set(["!", "?", "…", ",", ".", "-", " "])
 import gradio as gr

GPT_SoVITS/inference_webui_fast.py

@@ -44,12 +44,11 @@ logging.getLogger("torchaudio._extension").setLevel(logging.ERROR)
 
 infer_ttswebui = os.environ.get("infer_ttswebui", 9872)
 infer_ttswebui = int(infer_ttswebui)
-is_share = os.environ.get("is_share", "False")
-is_share = eval(is_share)
+is_share = os.environ.get("is_share", "False").lower() in ("true", "1", "yes")
 if "_CUDA_VISIBLE_DEVICES" in os.environ:
     os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
 
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 gpt_path = os.environ.get("gpt_path", None)
 sovits_path = os.environ.get("sovits_path", None)
 cnhubert_base_path = os.environ.get("cnhubert_base_path", None)

GPT_SoVITS/prepare_datasets/1-get-text.py

@@ -13,7 +13,7 @@ opt_dir = os.environ.get("opt_dir")
 bert_pretrained_dir = os.environ.get("bert_pretrained_dir")
 import torch
 
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 version = os.environ.get("version", None)
 import traceback
 import os.path

GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py

@@ -16,7 +16,7 @@ opt_dir = os.environ.get("opt_dir")
 cnhubert.cnhubert_base_path = os.environ.get("cnhubert_base_dir")
 import torch
 
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 
 import traceback
 import numpy as np

GPT_SoVITS/prepare_datasets/2-get-sv.py

@@ -15,7 +15,7 @@ opt_dir = os.environ.get("opt_dir")
 sv_path = os.environ.get("sv_path")
 import torch
 
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 
 import traceback
 import torchaudio

GPT_SoVITS/prepare_datasets/3-get-semantic.py

@@ -28,7 +28,7 @@ else:
     version = "v3"
 import torch
 
-is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+is_half = os.environ.get("is_half", "True").lower() in ("true", "1", "yes") and torch.cuda.is_available()
 import traceback
 import sys
 

tools/subfix_webui.py

@@ -420,6 +420,6 @@ if __name__ == "__main__":
         server_name="0.0.0.0",
         inbrowser=True,
         # quiet=True,
-        share=eval(args.is_share),
+        share=args.is_share.lower() in ("true", "1", "yes"),
         server_port=int(args.webui_port_subfix),
     )

tools/uvr5/webui.py

@@ -25,9 +25,9 @@ for name in os.listdir(weight_uvr5_root):
         uvr5_names.append(name.replace(".pth", "").replace(".ckpt", ""))
 
 device = sys.argv[1]
-is_half = eval(sys.argv[2])
+is_half = sys.argv[2].lower() in ("true", "1", "yes")
 webui_port_uvr5 = int(sys.argv[3])
-is_share = eval(sys.argv[4])
+is_share = sys.argv[4].lower() in ("true", "1", "yes")
 
 
 def html_left(text, label="p"):