fix: prevent concurrent access to BERT model with thread lock

Added thread lock to protect get_phones_and_bert method from potential race conditions during concurrent access. This addresses issue #1844 where multiple threads accessing the BERT model simultaneously could cause data inconsistency or crashes.

GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py

@@ -1,5 +1,6 @@
 
 import os, sys
+import threading
 
 from tqdm import tqdm
 now_dir = os.getcwd()
@@ -54,6 +55,7 @@ class TextPreprocessor:
         self.bert_model = bert_model
         self.tokenizer = tokenizer
         self.device = device
+        self.bert_lock = threading.RLock()
 
     def preprocess(self, text:str, lang:str, text_split_method:str, version:str="v2")->List[Dict]:
         print(f'############ {i18n("切分文本")} ############')
@@ -117,6 +119,7 @@ class TextPreprocessor:
         return self.get_phones_and_bert(text, language, version)
 
     def get_phones_and_bert(self, text:str, language:str, version:str, final:bool=False):
+        with self.bert_lock:
             if language in {"en", "all_zh", "all_ja", "all_ko", "all_yue"}:
                 language = language.replace("all_","")
                 formattext = text