diff --git a/crazy_functions/代码重写为全英文_多线程.py b/crazy_functions/代码重写为全英文_多线程.py
index bfcbec3..7f62088 100644
--- a/crazy_functions/代码重写为全英文_多线程.py
+++ b/crazy_functions/代码重写为全英文_多线程.py
@@ -10,16 +10,13 @@ def extract_code_block_carefully(txt):
     txt_out = '```'.join(splitted[1:-1])
     return txt_out
 
-def breakdown_txt_to_satisfy_token_limit(txt, limit, must_break_at_empty_line=True):
-    from transformers import GPT2TokenizerFast
-    tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
-    get_token_cnt = lambda txt: len(tokenizer(txt)["input_ids"])
+def breakdown_txt_to_satisfy_token_limit(txt, get_token_fn, limit, must_break_at_empty_line=True):
     def cut(txt_tocut, must_break_at_empty_line): # 递归
-        if get_token_cnt(txt_tocut) <= limit:
+        if get_token_fn(txt_tocut) <= limit:
             return [txt_tocut]
         else:
             lines = txt_tocut.split('\n')
-            estimated_line_cut = limit / get_token_cnt(txt_tocut)  * len(lines)
+            estimated_line_cut = limit / get_token_fn(txt_tocut)  * len(lines)
             estimated_line_cut = int(estimated_line_cut)
             for cnt in reversed(range(estimated_line_cut)):
                 if must_break_at_empty_line: 
@@ -27,7 +24,7 @@ def breakdown_txt_to_satisfy_token_limit(txt, limit, must_break_at_empty_line=Tr
                 print(cnt)
                 prev = "\n".join(lines[:cnt])
                 post = "\n".join(lines[cnt:])
-                if get_token_cnt(prev) < limit: break
+                if get_token_fn(prev) < limit: break
             if cnt == 0:
                 print('what the f?')
                 raise RuntimeError("存在一行极长的文本！")
@@ -86,12 +83,12 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
 
 
     # 第5步：Token限制下的截断与处理
-    MAX_TOKEN = 2500
-    # from transformers import GPT2TokenizerFast
-    # print('加载tokenizer中')
-    # tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
-    # get_token_cnt = lambda txt: len(tokenizer(txt)["input_ids"])
-    # print('加载tokenizer结束')
+    MAX_TOKEN = 3000
+    from transformers import GPT2TokenizerFast
+    print('加载tokenizer中')
+    tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
+    get_token_fn = lambda txt: len(tokenizer(txt)["input_ids"])
+    print('加载tokenizer结束')
 
 
     # 第6步：任务函数
@@ -107,7 +104,7 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
         try:
             gpt_say = ""
             # 分解代码文件
-            file_content_breakdown = breakdown_txt_to_satisfy_token_limit(file_content, MAX_TOKEN)
+            file_content_breakdown = breakdown_txt_to_satisfy_token_limit(file_content, get_token_fn, MAX_TOKEN)
             for file_content_partial in file_content_breakdown:
                 i_say = i_say_template(fp, file_content_partial)
                 # # ** gpt request **