Added backtracking chat on the basis of terry3041/pyChatGPT
停止更新，移至
new planChatGPT
- Implement asynchronous use
- can go back to a conversational moment in the past
- increase the function of initializing personality
- set local chromedriver
- optimized the output, removing two newlines
- added reply failure handling
- added GPT-ToolBoxGPT-ToolBox
This library is using only the
undetected_chromedriverto bypass Cloudflare's anti-bot protection. Please make sure you have Google Chrome / Chromium before using this wrapper.
git clone https://github.com/nek0us/pyChatGPTLoop.git
pip install .
# or
pip install pyChatGPTLoop --upgrade- Go to https://chat.openai.com/chat and open the developer tools by
F12. - Find the
__Secure-next-auth.session-tokencookie inApplication>Storage>Cookies>https://chat.openai.com. - Copy the value in the
Cookie Valuefield.
python3 -m pyChatGPTLoopfrom pyChatGPTLoop.pyChatGPTLoop import ChatGPT
import asyncio
session_token = 'abc123' # `__Secure-next-auth.session-token` cookie from https://chat.openai.com/chat
api = ChatGPT(session_token) # auth with session token
api = ChatGPT(session_token, conversation_id='some-random-uuid') # specify conversation id
api = ChatGPT(session_token, proxy='https://proxy.example.com:8080') # specify proxy
api = ChatGPT(session_token, chrome_args=['--window-size=1920,768']) # specify chrome args
api = ChatGPT(session_token, moderation=False) # disable moderation
api = ChatGPT(session_token, verbose=True) # verbose mode (print debug messages)
api = ChatGPT(session_token, driver_path="C:\\yourdriverpath\\chromedriver.exe") # set local chromedriver if you don't wish it update in windows
api = ChatGPT(session_token, driver_path="/yourpath/chromedriver") # set local chromedriver if you don't wish it update in linux
api = ChatGPT(session_token, personality_definition=your List) # the words list of init personality
api = ChatGPT(session_token, toolbox=True) # use GPT-ToolBox
# auth with google login
api = ChatGPT(auth_type='google', email='example@gmail.com', password='password')
# auth with microsoft login
api = ChatGPT(auth_type='microsoft', email='example@gmail.com', password='password')
# auth with openai login (captcha solving using speech-to-text engine)
api = ChatGPT(auth_type='openai', email='example@gmail.com', password='password')
# auth with openai login (manual captcha solving)
api = ChatGPT(
auth_type='openai', captcha_solver=None,
email='example@gmail.com', password='password'
)
# auth with openai login (2captcha for captcha solving)
api = ChatGPT(
auth_type='openai', captcha_solver='2captcha', solver_apikey='abc',
email='example@gmail.com', password='password'
)
# reuse cookies generated by successful login before login,
# if `login_cookies_path` does not exist, it will process logining with `auth_type`, and save cookies to `login_cookies_path`
# only works when `auth_type` is `openai` or `google`
api = ChatGPT(auth_type='openai', email='example@xxx.com', password='password',
login_cookies_path='your_cookies_path',
)
api.reset_conversation() # reset the conversation
api.clear_conversations() # clear all conversations
# send message
resp = asyncio(api.async_send_message('Hello, world!'))
print(resp['message'])
# if in an async function
resp = await api.async_send_message('Hello, world!',msg_type="loop")
print(resp['message'])
# refresh the chat page
await api.refresh_chat_page()
# return the loop_text conversation
loop_text = "some words"
resp = await api.async_send_message(loop_text,msg_type="loop")
#You can pass the conversation id to the right
resp = await api.async_send_message('Hello, world!',conversation_id,msg_type="msg")
personality_definition = [{"content":r'Now you are going to pretend to be a math teacher called "nothing" to help me with my math',"AI_verify":True}]
await api.init_personality(True,"",personality_definition)
#or
resp = await api.async_send_message(personality_definition,conversation_id,msg_type="init")
#update session_toekn when chrome running
resp = await api.async_send_message(new_cookie,conversation_id,msg_type="update_cookie")
#all of resp:
resp: dict == {"status":bool,any}# An example of initializing the vocabulary format, the vocabulary content is not representative
personality_definition = [
{
"content":r'Now you are going to pretend to be a math teacher called "nothing" to help me with my math',
"AI_verify":True
},
{
"content":r"You will be very strict in pointing out my mistakes",
"AI_verify":False
}
]
new_conversation = True
await api.backtrack_chat(new_conversation,"",personality_definition)
# new_conversation : Whether to open a new session for personality initialization, the default is true
# personality_definition: Personality initialization phrase is a list, a single element is a dict,
# content is the content of the phrase, and AI_verify is a successful detection of personality
# returns a boolean result# You said some words to chatGPT
loop_text = 'some words'
# Go back to the dialogue where these words last appeared
await api.backtrack_chat(loop_text)
#You can pass the conversation id to the right of loop_text
#return an boolen result
# if you use an async method
resp = await api.async_send_message(loop_text,msg_type="loop")# install chromium & X virtual framebuffer
sudo apt install chromium-browser xvfb
# start your script
python3 your_script.py
It is normal for the seession to be crashed when installing dependencies. Just ignore the error and run your script.
# install dependencies
!apt install chromium-browser xvfb
!pip install -U selenium_profiles pyChatGPT
# install chromedriver
from selenium_profiles.utils.installer import install_chromedriver
install_chromedriver()# start your script as normal
!python3 -m pyChatGPTLoopThis project is inspired by
This project is not affiliated with OpenAI in any way. Use at your own risk. I am not responsible for any damage caused by this project. Please read the OpenAI Terms of Service before using this project.
This project is licensed under the GPLv3 License - see the LICENSE file for details.