This (standalone, no external dependencies required) extension allows you to use ChatGPT directly from your Jupyter Notebook or IPython Shell (Demo).
Important! This is a very early and raw version, I have a lot of things to improve regarding code quality and missing functionality. Check this issue for a rough "roadmap".
!pip install ipython-gpt
Then in your notebook or ipython shell:
%load_ext ipython_gpt
You must first generate an API key at OpenAI (https://platform.openai.com/account/api-keys) and set is an environment variable OPENAI_API_KEY
. You can do it by modifying your .bashrc/.zshrc
or starting jupyter with it:
$ OPENAI_API_KEY=[YOUR-KEY] jupyter lab
# ...
$ OPENAI_API_KEY=[YOUR-KEY] ipython
There are a few other ways to set the API KEY, but the envvar is the recommended one.
The command %%chat
interfaces with ChatGPT. It accepts multiple parameters (see Usage). Here's an example:
%%chat --max-tokens=25
What's the purpose of life?
...
>>> CHAT RESPONSE
Important by default, the %%chat
command preserves the conversation to give the Agent some context, in the same way that ChatGPT works. You can "reset" its status passing the flag --reset-conversation
.
%%chat --reset-conversation
How can I avoid pandas using scientific notation in outputs, and do it globally?
...
...
>>> CHAT RESPONSE
By default, the Chat is started with the role: "You're a python data science coding assistant". You can change that by passing something different in your first %%chat
:
%%chat --system-message="You're a R Data Science assistant"
Your message...
Once the conversation has started, you can't change the original message, as the context is preserved. To do so, you must reset the conversation:
%%chat --system-message="You're a R Data Science assistant" --reset-conversation
Your message...
You can change the defaults using the %chat_config
line magic:
%chat_config --system-message="You're an R data scientist coding assistant specialized in visualizations" --model "other model" --reset-conversation
Invoke it without parameters to see the defaults set:
%chat_config
...
>>>
##### Conf set:
* **Default model**: gpt-3.5-turbo
* **Default system message**: You're a python data science coding assistant
* **Chat history length**: 0
Usage:
%chat_models [--all-models]
%chat_models
- gpt-3.5-turbo-0301
- gpt-3.5-turbo
%reload_ext ipython_gpt
%chat_help
...
usage: ipykernel_launcher.py [-h] [--openai-api-key OPENAI_API_KEY]
[--reset-conversation]
[--system-message SYSTEM_MESSAGE]
[--no-system-message] [--model MODEL]
[--temperature TEMPERATURE]
[--max-tokens MAX_TOKENS] [--all-models]
Aside from setting the environment variable, you can also set OPENAI_API_KEY
as a global variable in your notebook, or pass it directly as a parameter in any method --openai-api-key=YOUR-KEY
.
These alternative methods are NOT recommended, as you might leak your API Key in the notebooks' history, stored in .ipynb_checkpoints
.