Add Simplified Chinese

README.MD

@@ -1,3 +1,4 @@
+Language : English [简体中文](README.zh-cn.md)
 # Description
 
 Bing chat Telegram bot implemented in Python that utilizes unofficial [EdgeChat](https://github.com/acheong08/EdgeGPT) API

README.zh-cn.md

@@ -0,0 +1,85 @@
+语言：[English](README.MD) 简体中文
+# 介绍
+
+使用非官方 [EdgeChat](https://github.com/acheong08/EdgeGPT) API 的 Python 实现的 Bing 聊天 Telegram 机器人
+
+## 已知问题
+
+- ~~不同用户会使用同一个对话~~（已修复）
+
+## 截图
+
+![](assets/screenshot.zh-cn.png)
+
+## 命令列表
+
+```
+help - 帮助信息
+reset - 重置对话
+switch - 切换对话风格 ( creative , balanced , precise )
+```
+
+# 安装
+
+## 需求
+
+- python 3.8+
+- 一个能访问 http://bing.com/chat的微软账号 (必须！)
+
+## 检查访问权限
+
+- 安装最新版本的 Microsoft Edge
+- 访问 http://bing.com/chat
+- 如果你能看到聊天界面，说明你有访问权限
+
+ ## 获取cookie
+
+- 安装cookie插件：Chrome](https://chrome.google.com/webstore/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) ， [Firefox](https://addons.mozilla.org/en-US/firefox/addon/cookie-editor/)
+- 访问 http://bing.com/chat
+- 打开插件
+- 点击底部的Export按钮 (cookie将会复制到你的剪贴板)
+- 粘贴你的cookie到 `cookies.json`. json的格式参见 `cookie.exaple.json`(中间部分省略)
+
+## 安装依赖
+
+```shell
+pip install -r requirements.txt
+```
+
+## 设置环境变量
+
+### 必须变量
+
+```shell
+export BOT_TOKEN='REPLACE YOUR BOT TOKEN'
+export ALLOWED_USER_IDS='XXXXXXXXX,XXXXXXXX,XXXXXXXX'
+```
+
+### 可选变量
+
+```shell
+#默认值为 './cookie.json'
+export COOKIE_PATH='xxxxxx' 
+
+#默认值为 False , 如果你设置为True，任何人都可以使用bot
+export PUBLIC_MODE=True
+
+
+#如果你想将bot添加至群聊，请设置这些环境变量，并授予bot管理员权限
+export BOT_ID='@YOURBOTID' #别忘了@
+export GROUP_MODE=True #默认值为 False
+```
+如果  GROUP_MODE 为True ，bot将会回复群组里所有消息 , 否则bot只会回复@它的消息
+私聊消息一直会回复
+
+## 运行
+
+```shell
+python bing.py 
+```
+
+
+
+
+
+

bing.py

@@ -81,7 +81,8 @@ def switch_style(message):
             bot.reply_to(
                 message, "Parameter error , please choose one of (creative,balanced,precise)\n(e.g./switch balanced")
     else:
-        bot.reply_to(message, not_allow_info)
+        bot.reply_to(
+            message, '⚠️You are not authorized to switch conversation style ⚠️')
 
 
 @bot.message_handler(func=lambda msg: True)
@@ -109,7 +110,8 @@ def callback_all(callback_query):
     if len(response_list[0]) > 4095:
         for x in range(0, len(response_list[0]), 4095):
             bot.reply_to(
-                callback_query.message, response_list[0][x:x + 4095], parse_mode='Markdown',
+                callback_query.message, response_list[0][x:x +
+                                                         4095], parse_mode='Markdown',
                 reply_markup=response_list[1])
 
     else:
@@ -153,7 +155,8 @@ async def bing_chat(message_text, message):
             response_dict['item']['throttling']:
         max_num_user_messages_in_conversation = response_dict['item'][
             'throttling']['maxNumUserMessagesInConversation']
-        num_user_messages_in_conversation = response_dict['item']['throttling']['numUserMessagesInConversation']
+        num_user_messages_in_conversation = response_dict[
+            'item']['throttling']['numUserMessagesInConversation']
         response = response + "\n----------\n"
         response = response + "Messages In Conversation : %d / %d" % (
             num_user_messages_in_conversation, max_num_user_messages_in_conversation)
@@ -177,11 +180,11 @@ async def bing_chat(message_text, message):
             r'\[\^\d\^]', '', response_dict['item']['messages'][1]['sourceAttributions'][2]['seeMoreUrl'])
         response = response + "\n----------\nReference:\n"
         response = response + \
-                   "1.[%s](%s)\n" % (provider_display_name0, see_more_url0)
+            "1.[%s](%s)\n" % (provider_display_name0, see_more_url0)
         response = response + \
-                   "2.[%s](%s)\n" % (provider_display_name1, see_more_url1)
+            "2.[%s](%s)\n" % (provider_display_name1, see_more_url1)
         response = response + \
-                   "3.[%s](%s)\n" % (provider_display_name2, see_more_url2)
+            "3.[%s](%s)\n" % (provider_display_name2, see_more_url2)
 
     markup = quick_markup({
         suggested_responses0: {'callback_data': suggested_responses0[0:21]},