ChatGPT Wrapper is an open-source unofficial Power CLI, Python API and Flask API that lets you interact programmatically with ChatGPT.
🤖 Programmable ChatGPT. The ChatGPT Wrapper lets you use the powerful ChatGPT bot in your Python scripts or on the command line, making it easy to leverage its functionality into your projects.
💬 Runs in Shell. You can call and interact with ChatGPT in the terminal.
🐍 Python API. The ChatGPT Wrapper is a Python library that lets you use ChatGPT in your Python scripts.
🐳 Docker image. The ChatGPT Wrapper is also available as a docker image. (experimental)
🧪 Flask API. You can use the ChatGPT Wrapper as an API. (experimental)
- Fix broken
ChatGPTsync class - Removed nest_asyncio dependency
- Convert CLI to use
AsyncChatGPTclass - Initial implementation of stop generating text response
- REVERT BREAKING CHANGE: Asyncio module requirement removed from usage of ChatGPT class, it is now a sync wrapper around the async class
- Command leader changed from '!' to '/'
- Asyncio module is now required to use ChatGPT class directly (refer to Python usage)
- Added '/quit' command
- Added '/delete' support for history IDs/UUIDs
- Added '/chat' command
- Added '/switch' command
- Added '/title' command
- Added limit/offset support for '/history'
- Migrated to async Playwright
- Initial API in Flask (see How to use the API)
- Added tab completion for commands
- Added '/tmp' volume for saving Playwright session
- Added CI and CodeQL workflows
- Added simple developer debug module
- Improved session refreshing (/session now works!)
- Migrated to Prompt Toolkit
See commit log for previous updates
Run an interactive CLI in the terminal:
Or just get a quick response for one question:
See below for details on using ChatGPT as an API from Python.
To use this repository, you need setuptools installed. You can install it using pip install setuptools. Make sure that you have the last version of pip: pip install --upgrade pip
To use the /write command, you need to install vipe. In ubuntu, you can install it with sudo apt install moreutils, in macos with brew install moreutils
- Install the latest version of this software directly from github with pip:
pip install git+https://github.com/mmabrouk/chatgpt-wrapper- Install a browser in playwright (if you haven't already). The program will use firefox by default.
playwright install firefox
- Start up the program in
installmode. This opens up a browser window. Log in to ChatGPT in the browser window, then stop the program.
chatgpt install- Restart the program without the
installparameter to begin using it.
- Youtube Tutorial: How To Use ChatGPT With Unity: Python And API Setup #2 includes a step by step guide to installing this repository on a windows machine
- This Blog post provides a visual step-by-step guide for installing this library.
Run chatgpt --help
To run the CLI in one-shot mode, simply follow the command with the prompt you want to send to ChatGPT:
chatgpt Hello World!
To run the CLI in interactive mode, execute it with no additional arguments:
chatgpt
Once the interactive shell is running, you can see a list of all commands with:
/help
...or get help for a specific command with:
/help <command>
To use the ChatGPT class as an API for talking to ChatGPT, create an instance of the class and use the ask method to send a message to OpenAI and receive the response. For example:
from chatgpt_wrapper import ChatGPT
bot = ChatGPT()
response = bot.ask("Hello, world!")
print(response) # prints the response from chatGPTThe say method takes a string argument representing the message to send to ChatGPT, and returns a string representing the response received from ChatGPT.
You may also stream the response as it comes in from ChatGPT in chunks using the ask_stream generator.
- Run
python chatgpt_wrapper/gpt_api.py --port 5000(default port is 5000) to start the server - Test whether it is working using
python -m unittest tests/api_test.py - See an example of interaction with api in
tests/example_api_call.py
Build a image for testing chatgpt-wrapper with following commands.
docker-compose build && docker-compose up -d
docker exec -it chatgpt-wrapper-container /bin/bash -c "chatgpt install"Then, visit http://localhost:6901/vnc.html with password headless and login ChatGPT.
Then, turn back to terminal and enjoy the chat!
- 21/02/2023: v0.3.17
- Added debug mode (visible browser window).
- @thehunmonkgroup fixed chat naming.
- @thehunmonkgroup added !delete command to remove/hide conversations.
- @thehunmonkgroup added --model flag to select model ('default' or 'legacy-paid' or 'legacy-free').
- @thehunmonkgroup added !editor command to open the current prompt in an editor and send the edited prompt to ChatGPT.
- @thehunmonkgroup added !history command to show the list of the last 20 conversations.
- @NatLee added docker support.
- 17/02/2023: v0.3.16
- Ability to open multiple sessions in parallel.
- Code now works with ChatGPT Plus subscription.
- 14/02/2023: v0.3.15 - Updated model to text-davinci-002-render-sha (turbo model).
- 14/02/2023: v0.3.11
- Fixed many bugs with installation. Code is refactored.
- Now able to use the python wrapper with a proxy.
- 18/01/2023: v0.3.8 - Commands now are run only using !. For instance to enable read mode (for copy-paste and long prompts) you need to write now
!readinstead ofread. This is to avoid conflicts with the chatgpt prompts. Fixed timeout issue. - 17/01/2023: v0.3.7 - Added timeout to
askmethod to prevent hanging. Fixed return to terminal breakdown. Streaming output now is activated by default.
We welcome contributions to ChatGPT Wrapper! If you have an idea for a new feature or have found a bug, please open an issue on the GitHub repository.
This project is licensed under the MIT License - see the LICENSE file for details.
- This project is a modification from Taranjeet code which is a modification of Daniel Gross code.