mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-16 16:25:55 +08:00
@@ -129,10 +129,13 @@ pip3 install --upgrade openai
|
||||
**4.其他配置**
|
||||
|
||||
+ `model`: 模型名称,目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k` (其中gpt-4 api暂未开放)
|
||||
+ `temperature`,`frequency_penalty`,`presence_penalty`: Chat API接口参数,详情参考[OpenAI官方文档。](https://platform.openai.com/docs/api-reference/chat)
|
||||
+ `proxy`:由于目前 `openai` 接口国内无法访问,需配置代理客户端的地址,详情参考 [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
|
||||
+ 对于图像生成,在满足个人或群组触发条件外,还需要额外的关键词前缀来触发,对应配置 `image_create_prefix `
|
||||
+ 关于OpenAI对话及图片接口的参数配置(内容自由度、回复字数限制、图片大小等),可以参考 [对话接口](https://beta.openai.com/docs/api-reference/completions) 和 [图像接口](https://beta.openai.com/docs/api-reference/completions) 文档直接在 [代码](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/bot/openai/open_ai_bot.py) `bot/openai/open_ai_bot.py` 中进行调整。
|
||||
+ `conversation_max_tokens`:表示能够记忆的上下文最大字数(一问一答为一组对话,如果累积的对话字数超出限制,就会优先移除最早的一组对话)
|
||||
+ `clear_memory_commands`: 对话内指令,主动清空前文记忆,字符串数组可自定义指令别名。
|
||||
+ `hot_reload`: 程序退出后,暂存微信扫码状态,默认关闭。
|
||||
+ `character_desc` 配置中保存着你对机器人说的一段话,他会记住这段话并作为他的设定,你可以为他定制任何人格 (关于会话上下文的更多内容参考该 [issue](https://github.com/zhayujie/chatgpt-on-wechat/issues/43))
|
||||
|
||||
|
||||
|
||||
@@ -27,7 +27,8 @@ class ChatGPTBot(Bot):
|
||||
if not context or not context.get('type') or context.get('type') == 'TEXT':
|
||||
logger.info("[OPEN_AI] query={}".format(query))
|
||||
session_id = context.get('session_id') or context.get('from_user_id')
|
||||
if query == '#清除记忆':
|
||||
clear_memory_commands = conf().get('clear_memory_commands', ['#清除记忆'])
|
||||
if query in clear_memory_commands:
|
||||
Session.clear_session(session_id)
|
||||
return '记忆已清除'
|
||||
elif query == '#清除所有':
|
||||
@@ -65,11 +66,11 @@ class ChatGPTBot(Bot):
|
||||
response = openai.ChatCompletion.create(
|
||||
model= conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
|
||||
messages=session,
|
||||
temperature=0.9, # 值在[0,1]之间,越大表示回复越具有不确定性
|
||||
temperature=conf().get('temperature', 0.9), # 值在[0,1]之间,越大表示回复越具有不确定性
|
||||
#max_tokens=4096, # 回复最大的字符数
|
||||
top_p=1,
|
||||
frequency_penalty=0.0, # [-2,2]之间,该值越大则更倾向于产生不同的内容
|
||||
presence_penalty=0.0, # [-2,2]之间,该值越大则更倾向于产生不同的内容
|
||||
frequency_penalty=conf().get('frequency_penalty', 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
|
||||
presence_penalty=conf().get('presence_penalty', 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
|
||||
)
|
||||
# logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
|
||||
return {"total_tokens": response["usage"]["total_tokens"],
|
||||
|
||||
@@ -42,7 +42,7 @@ class WechatChannel(Channel):
|
||||
|
||||
def startup(self):
|
||||
# login by scan QRCode
|
||||
itchat.auto_login(enableCmdQR=2)
|
||||
itchat.auto_login(enableCmdQR=2, hotReload=conf().get('hot_reload', False))
|
||||
|
||||
# start message listener
|
||||
itchat.run()
|
||||
|
||||
@@ -1,50 +1,26 @@
|
||||
import time
|
||||
from collections import OrderedDict
|
||||
|
||||
|
||||
class ExpiredDict(OrderedDict):
|
||||
class ExpiredDict(dict):
|
||||
def __init__(self, expires_in_seconds):
|
||||
super().__init__()
|
||||
# 存储键值对的生存时间
|
||||
self.expires_in_seconds = expires_in_seconds
|
||||
# 获取当前时间的函数
|
||||
self.now = time.monotonic
|
||||
|
||||
def __getitem__(self, key):
|
||||
# 检查键是否存在
|
||||
if key not in self:
|
||||
raise KeyError(key)
|
||||
# 获取值和过期时间
|
||||
value, expiry_time = self[key]
|
||||
# 如果过期时间早于当前时间,删除该键值对并引发 KeyError
|
||||
if expiry_time is not None and self.now() > expiry_time:
|
||||
value, expiry_time = super().__getitem__(key)
|
||||
# 如果元素已过期,则从字典中删除该元素并抛出 KeyError 异常
|
||||
if time.monotonic() > expiry_time:
|
||||
del self[key]
|
||||
raise KeyError(key)
|
||||
# 如果存活时间不为 None,更新该键值对的过期时间
|
||||
if self.expires_in_seconds is not None:
|
||||
self[key] = value, self.now() + self.expires_in_seconds
|
||||
# 删除过期的键值对
|
||||
self._delete_expired_items()
|
||||
# 返回值
|
||||
raise KeyError("expired {}".format(key))
|
||||
self.__setitem__(key, value)
|
||||
return value
|
||||
|
||||
def __setitem__(self, key, value):
|
||||
# 如果存活时间不为 None,设置该键值对的过期时间
|
||||
if self.expires_in_seconds is not None:
|
||||
self[key] = value, self.now() + self.expires_in_seconds
|
||||
else:
|
||||
self[key] = value, None
|
||||
# 删除过期的键值对
|
||||
self._delete_expired_items()
|
||||
# 刷新元素缓存时间
|
||||
super().__setitem__(key, (value, time.monotonic() + self.expires_in_seconds))
|
||||
|
||||
def get(self, key, default=None):
|
||||
try:
|
||||
return self[key]
|
||||
except KeyError:
|
||||
return default
|
||||
|
||||
def _delete_expired_items(self):
|
||||
# 遍历所有键值对,删除过期的键值对
|
||||
for key, (value, expiry_time) in list(self.items()):
|
||||
if expiry_time is not None and self.now() > expiry_time:
|
||||
del self[key]
|
||||
|
||||
@@ -1,15 +1,16 @@
|
||||
{
|
||||
"open_ai_api_key": "YOUR API KEY",
|
||||
"model": "gpt-3.5-turbo",
|
||||
"proxy": "",
|
||||
"single_chat_prefix": ["bot", "@bot"],
|
||||
"single_chat_reply_prefix": "[bot] ",
|
||||
"group_chat_prefix": ["@bot"],
|
||||
"group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"],
|
||||
"image_create_prefix": ["画", "看", "找"],
|
||||
"speech_recognition": false,
|
||||
"voice_reply_voice": false,
|
||||
"conversation_max_tokens": 1000,
|
||||
"expires_in_seconds": 3600,
|
||||
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。"
|
||||
}
|
||||
{
|
||||
"open_ai_api_key": "YOUR API KEY",
|
||||
"model": "gpt-3.5-turbo",
|
||||
"proxy": "",
|
||||
"single_chat_prefix": ["bot", "@bot"],
|
||||
"single_chat_reply_prefix": "[bot] ",
|
||||
"group_chat_prefix": ["@bot"],
|
||||
"group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"],
|
||||
"image_create_prefix": ["画", "看", "找"],
|
||||
"speech_recognition": false,
|
||||
"voice_reply_voice": false,
|
||||
"conversation_max_tokens": 1000,
|
||||
"expires_in_seconds": 3600,
|
||||
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。"
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user