diff --git a/GPT_SoVITS/text/chinese2.py b/GPT_SoVITS/text/chinese2.py
index 9570295c..053f6265 100644
--- a/GPT_SoVITS/text/chinese2.py
+++ b/GPT_SoVITS/text/chinese2.py
@@ -12,7 +12,7 @@ from text.zh_normalization.text_normlization import TextNormalizer
 
 normalizer = lambda x: cn2an.transform(x, "an2cn")
 
-current_file_path = os.path.dirname(__file__)
+current_file_path = os.path.abspath(os.path.dirname(__file__))
 pinyin_to_symbol_map = {
     line.split("\t")[0]: line.strip().split("\t")[1]
     for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
@@ -20,14 +20,16 @@ pinyin_to_symbol_map = {
 
 import jieba_fast.posseg as psg
 
+
 # is_g2pw_str = os.environ.get("is_g2pw", "True")##默认开启
 # is_g2pw = False#True if is_g2pw_str.lower() == 'true' else False
 is_g2pw = True#True if is_g2pw_str.lower() == 'true' else False
 if is_g2pw:
+
     print("当前使用g2pw进行拼音推理")
     from text.g2pw import G2PWPinyin, correct_pronunciation
     parent_directory = os.path.dirname(current_file_path)
-    g2pw = G2PWPinyin(model_dir="GPT_SoVITS/text/G2PWModel",model_source="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",v_to_u=False, neutral_tone_with_five=True)
+    g2pw = G2PWPinyin(model_dir=f"{parent_directory}/text/G2PWModel",model_source=f"{parent_directory}/pretrained_models/chinese-roberta-wwm-ext-large",v_to_u=False, neutral_tone_with_five=True)
 
 rep_map = {
     "：": ",",