revChatGPT 0.0.13

ChatGPT is a reverse engineering of OpenAI's ChatGPT API

ChatGPT

Reverse Engineered ChatGPT by OpenAI. Extensible for chatbots etc.

Note: This is a proof of concept. The goal here is to be able to write bots using the API.

Features

• Scientific knowledge
• Has memory. It remembers the chat history and context
• No moderation
• Programmable

Setup

Install

pip3 install revChatGPT

Get your session token

Go to https://chat.openai.com/chat and log in or sign up

1. Open console with F12
2. Open Application tab > Cookies
3. Copy the value for __Secure-next-auth.session-token and paste it into config.json.example under session_token. You do not need to fill out Authorization
4. Save the modified file to config.json (In the current working directory)

Running

 $ python3 -m revChatGPT            

    ChatGPT - A command-line interface to OpenAI's ChatGPT (https://chat.openai.com/chat)
    Repo: github.com/acheong08/ChatGPT
    
Type '!help' to show commands
Press enter twice to submit your question.

You: !help


                !help - Show this message
                !reset - Forget the current conversation
                !refresh - Refresh the session authentication
                !exit - Exit the program

Make sure you run !refresh if you are only using the session_token.

Refresh every so often in case the token expires.

Arguments

You can pass the output through a processor using command line arguments.

Example:

Use python3 -m revChatGPT say to make a Mac speak the output

Development:

pip3 install revChatGPT

from revChatGPT.revChatGPT import Chatbot
import json

# Get your config in JSON
config = {
        "Authorization": "<Your Bearer Token Here>", # This is optional
        "session_token": "<Your Session Token here>" # This is used to refresh the authentication
}

chatbot = Chatbot(config, conversation_id=None)
chatbot.reset_chat() # Forgets conversation
refresh_session() # Uses the session_token to get a new bearer token
resp = get_chat_response(prompt) # Sends a request to the API and returns the response by OpenAI
resp['message'] # The message sent by the response
resp['conversation_id'] # The current conversation id
resp['parent_id'] # The ID of the response

This can be imported to projects for bots and much more. You can have multiple independent conversations by keeping track of the conversation_id.

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