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This repository was archived by the owner on Jan 25, 2023. It is now read-only.

labteral/chatgpt-python

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ChatGPT Python SDK

Library that allows developers to easily integrate the ChatGPT into their Python projects.

PyPi PyPi License

Install or update

pip install -U chatgpt

Config

Create a file with your credentials

Create the file config.json in your working directory:

{
 "email": "email@example.org",
 "password": "xxx"
}

With proxy

{
 "email": "email@example.org",
 "password": "xxx",
 "proxy": "socks5://user:pass@host:port"
}

With other parameters

{
 "email": "email@example.org",
 "password": "xxx",
 "timeout":300,
 "cache_file_path":"/path/filename",
 "access_token_seconds_to_expire":1800
}

Environment variable

You can specify the default configuration folder for chatgpt by setting the CHATGPT_HOME environment variable to the desired directory path.

export CHATGPT_HOME="/home/$USER/.config/chatgpt"

Usage

CLI

You can launch the CLI with:

chatgpt

or

python -m chatgpt

These are the available commands:

  • reset: forget the context of the current conversation.
  • clear: clear the terminal.
  • exit: exit the CLI.


SDK

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from chatgpt import Conversation
conversation = Conversation()
# Stream the message as it arrives.
for chunk in conversation.stream("We are going to start a conversation. I will speak English and you will speak Portuguese."):
 print(chunk, end="")
 sys.stdout.flush()
# Wait until the message is fully received.
print(conversation.chat("What's the color of the sky?"))
# The AI will forget it was speaking Portuguese
conversation.reset()
print(conversation.chat("What's the color of the sun?"))

it is recommended to use stream instead of chat.

Exceptions:

from chatgpt import ChatgptError, ChatgptErrorCodes
try:
 for chunk in conversation.stream("Hello, world!"):
 print(chunk, end="")
 sys.stdout.flush()
except ChatgptError as chatgpt_error:
 message = chatgpt_error.message
 code = chatgpt_error.code
 if code == ChatgptErrorCodes.INVALID_ACCESS_TOKEN:
 print("Invalid token")

Chatgpt Error codes:

  • INVALID_ACCESS_TOKEN: This error code indicates that the access token provided to the chatbot's API is not valid or has expired.
  • CHATGPT_API_ERROR: This error code indicates that an error has occurred while making a request to the chatbot's API.
  • CONFIG_FILE_ERROR: This error code indicates that there is a problem with the configuration file for the chatbot.
  • UNKNOWN_ERROR: This error code is used when the cause of the error is unknown or cannot be determined.
  • LOGIN_ERROR: This error code indicates that there was a problem with the login process, such as an incorrect username or password.
  • TIMEOUT_ERROR: This error code indicates that a request to the chatbot's API has timed out.
  • CONNECTION_ERROR: This error code indicates that there is a problem with the connection to the chatbot's API.

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