移除情感评分函数中tokenizer调用的线程锁，简化代码逻辑

preprocess.py

@@ -310,8 +310,7 @@ def get_sentiment_score(text):
         # 处理每个段落 - 模型一
         for segment in segments_one:
             with torch.no_grad():
-                with _tokenizer_lock:
-                    inputs = tokenizer_one(segment, return_tensors="pt", truncation=True, max_length=512)
+                inputs = tokenizer_one(segment, return_tensors="pt", truncation=True, max_length=512)
                 outputs = sa_model_one(**inputs)
                 predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
                 
@@ -334,8 +333,7 @@ def get_sentiment_score(text):
         # 处理每个段落 - 模型二
         for segment in segments_two:
             with torch.no_grad():
-                with _tokenizer_lock:
-                    inputs = tokenizer_two(segment, return_tensors="pt", truncation=True, max_length=512)
+                inputs = tokenizer_two(segment, return_tensors="pt", truncation=True, max_length=512)
                 outputs = sa_model_two(**inputs)
                 predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)