From 6a268e17cd676f76b6bc26281dcba231cdb7ce6b Mon Sep 17 00:00:00 2001
From: binary-husky <505030475@qq.com>
Date: Sat, 29 Apr 2023 00:48:48 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E5=85=AC=E5=BC=8F=E9=87=8D?=
 =?UTF-8?q?=E5=A4=8D=E6=98=BE=E7=A4=BA=E7=9A=84bug?=
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---
 request_llm/bridge_newbing.py | 5 ++++-
 toolbox.py                    | 6 +++++-
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/request_llm/bridge_newbing.py b/request_llm/bridge_newbing.py
index 0c48752..66db8b6 100644
--- a/request_llm/bridge_newbing.py
+++ b/request_llm/bridge_newbing.py
@@ -15,6 +15,7 @@ load_message = "等待NewBing响应。"
 import time
 import json
 import re
+import logging
 import asyncio
 import importlib
 import threading
@@ -26,7 +27,7 @@ def preprocess_newbing_out(s):
     sub = lambda m: '\['+m.group(1)+'\]' # 将匹配到的数字作为替换值
     result = re.sub(pattern, sub, s) # 替换操作
     if '[1]' in result:
-        result += '\n\n```\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
+        result += '\n\n<hr style="border-top: dotted 1px #44ac5c;">\n\n' + "\n\n".join(['`'+r+'`' for r in result.split('\n') if r.startswith('[')])
     return result
 
 def preprocess_newbing_out_simple(result):
@@ -247,5 +248,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。")
     if response == "[Local Message]: 等待NewBing响应中 ...": response = "[Local Message]: NewBing响应异常，请刷新界面重试 ..."
     history.extend([inputs, response])
+    logging.info(f'[raw_input] {inputs}')
+    logging.info(f'[response] {response}')
     yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应，请提交新问题。")
 
diff --git a/toolbox.py b/toolbox.py
index 565a87b..af28e8d 100644
--- a/toolbox.py
+++ b/toolbox.py
@@ -217,13 +217,17 @@ def text_divide_paragraph(text):
         text = "</br>".join(lines)
         return text
 
-
+@lru_cache(maxsize=128) # 使用 lru缓存 加快转换速度
 def markdown_convertion(txt):
     """
     将Markdown格式的文本转换为HTML格式。如果包含数学公式，则先将公式转换为HTML格式。
     """
     pre = '<div class="markdown-body">'
     suf = '</div>'
+    if txt.startswith(pre) and txt.endswith(suf):
+        # print('警告，输入了已经经过转化的字符串，二次转化可能出问题')
+        return txt # 已经被转化过，不需要再次转化
+    
     markdown_extension_configs = {
         'mdx_math': {
             'enable_dollar_delimiter': True,