gptstudio

The goal of gptstudio is for R programmers to easily incorporate use of large language models (LLMs) into their project workflows. These models appear to be a step change in our use of text for knowledge work, but you should carefully consider ethical implications of using these models. Ethics of LLMs (also called Foundation Models) is an area of very active discussion.

For further addins, tailored for R developers, also see the sister package: gpttools

Install the addins from this package:

install.packages("gptstudio")

To get a bug fix or to use a feature from the development version, you can install the development version of this package from GitHub.

# install.packages("pak")
pak::pak("MichelNivard/gptstudio")

Privacy Notice for gptstudio

This privacy notice is applicable to the R package that utilizes the GPT-3 and GPT-3.5 API provided by OpenAI. By using this package, you agree to adhere to the privacy terms and conditions set by OpenAI.

Data Sharing with OpenAI

When using this R package, the text or code that you highlight/select with your cursor, or the prompt you enter within the built-in applications, will be sent to OpenAI as part of an API request. This data sharing is governed by the privacy notice, rules, and exceptions that you agreed to with OpenAI when creating an account.

Security and Data Usage by OpenAI

We cannot guarantee the security of the data you send to OpenAI via the API, nor can we provide details on how OpenAI processes or uses your data. However, OpenAI has stated that they utilize prompts and results to enhance their AI models, as outlined in their terms of use. You can opt-out of this data usage by contacting OpenAI directly and making an explicit request.

Limiting Data Sharing

The R package is designed to share only the text or code that you specifically highlight/select or include in a prompt through our built-in applications. No other elements of your R environment will be shared. It is your responsibility to ensure that you do not accidentally share sensitive data with OpenAI.

IMPORTANT: To maintain the privacy of your data, do not highlight, include in a prompt, or otherwise upload any sensitive data, code, or text that should remain confidential.

Prerequisites

1. Make an OpenAI account.

2. Create an OpenAI API key to use with the package.

3. Set the API key up in Rstudio

Configuring OpenAI API Key

To interact with the OpenAI API, it’s required to have a valid OPENAI_API_KEY environment variable. Here are the steps to configure it.

You can establish this environment variable globally by including it in your project’s .Renviron file. This approach ensures that the environment variable persists across all sessions as the Shiny app runs in the background.

Here is a set of commands to open the .Renviron file for modification:

require(usethis)
edit_r_environ()

If you wish to set the variable temporarily for a single session, use this command, substituting "<APIKEY>" with your actual OpenAI API key:

Sys.setenv(OPENAI_API_KEY = "<APIKEY>")

For a persistent setting that loads every time you launch this project, add the following line to .Renviron, replacing "<APIKEY>" with your actual API key:

OPENAI_API_KEY="<APIKEY>"

Caution: If you’re using version control systems like GitHub or GitLab, remember to include .Renviron in your .gitignore file to prevent exposing your API key!

Important Note: OpenAI API will not function without valid payment details entered into your OpenAI account. This is a restriction imposed by OpenAI and is unrelated to this package.

Usage

Some examples of use.

ChatGPT in RStudio

1. Addins > gptstudio > ChatGPT
2. Type your question.
3. Click “Send” button or press “Enter”
4. Ask more questions
5. Copy and try code

The ChatGPT addin supports internationalization. You can set the “GPTSTUDIO_LANGUAGE” environmental variable to the language of your preference (i.e. GPTSTUDIO_LANGUAGE="es" for spanish). See the full list of supported languages in the translation file ("inst/translations/translation.json").

Using Other Models

We’re excited to announce that our service now includes models from HuggingFace’s inference API, Anthropic’s claude models, and Google’s MakerSuite, and Azure OpenAI service broadening the range of AI solutions you can use. You can set the model using the setting (gear) button in the ChatGPT addin app.

Persistent User Settings & Custom Prompt

You can now save your app settings across sessions. These are saved in a user config file. The easiest way to change these settings is the “Save as Default” button in the add-in app. This also allows you to specify your own custom prompt to pass to the model as instructions.

Provide your own instructions in R, R Markdown, or Quarto files

Addins > GPTSTUDIO > ChatGPT in Source: Apply any edit what YOU desire or can dream up to a selection of code or text.

Spelling ang grammar check

Addins > GPTSTUDIO > Spelling and Grammar: Takes the selected text sends it to OpenAI’s best model and instructs it to return a spelling and grammar checked version.

Comment your code:

Addins > GPTSTUDIO > Comment your code: Takes the selected text sends it to OpenAI as a prompt for a code specific model to work with, asks for a version with a comment added explaining the code line by line.

Azure OpenAI Service

To configure gptstudio to work using Azure OpenAI service, you need to provide some configuration details in your .Renviron file. Specifically, gptstudio looks for five environment variables:

• AZURE_OPENAI_TASK
• AZURE_OPENAI_ENDPOINT
• AZURE_OPENAI_DEPLOYMENT_NAME
• AZURE_OPENAI_KEY
• AZURE_OPENAI_API_VERSION

Here’s how you can add these details to your .Renviron file:

1. Locate your .Renviron file with usethis::edit_r_environ().
2. Add environment variable details: Add a new line for each variable you need to set in the following format: VARIABLE_NAME=“YOUR_VALUE”. Replace VARIABLE_NAME with the name of the environment variable and YOUR_VALUE with the actual value that you want to set. For example, to set the API key you would have a line like this:

AZURE_OPENAI_KEY="your_actual_key_goes_here"

You need to do this for each of the environment variables expected by the function. Your .Renviron file should look something like this:

AZURE_OPENAI_TASK="your_task_code"
AZURE_OPENAI_ENDPOINT="your_endpoint_url"
AZURE_OPENAI_DEPLOYMENT_NAME="your_deployment_name"
AZURE_OPENAI_KEY="your_api_key"
AZURE_OPENAI_API_VERSION="your_api_version"

3. Save and Close .Renviron: After adding your environment variables, save your .Renviron file and close it. You will need to restart your R session to make sure the new environment variables are loaded properly.

Remember to replace your_task_code, your_endpoint_url, your_deployment_name, your_api_key, and your_api_version with your actual Azure OpenAI details. You can retrieve these details from your Azure OpenAI service account. For more information about Azure OpenAI configuration, refer to the Microsoft quickstart guide.

Code of Conduct

Please note that the gptstudio project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.