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#' Chat4R Function
#'
#' @title Chat4R: Interact with gpt-4o-mini (default) using OpenAI API
#' @description This function uses the OpenAI API to interact with the
#' gpt-4o-mini model (default) and generates responses based on user input.
#' In this function, currently, "gpt-4o-mini", "gpt-4o", "gpt-4", "gpt-4-turbo" and "gpt-3.5-turbo"
#' can be selected as OpenAI's LLM model.
#' @param content A string containing the user's input message.
#' @param api_key A string containing the user's OpenAI API key.
#' Defaults to the value of the environment variable "OPENAI_API_KEY".
#' @param Model A string specifying the GPT model to use (default: "gpt-4o-mini").
#' @param temperature A numeric value controlling the randomness of the model's output (default: 1).
#' @param simple Logical, if TRUE, only the content of the model's message will be returned.
#' @param fromJSON_parsed Logical, if TRUE, content will be parsed from JSON.
#' @importFrom httr POST add_headers content
#' @importFrom jsonlite toJSON
#' @return A data frame containing the response from the GPT model.
#' @export chat4R
#' @author Satoshi Kume
#' @examples
#' \dontrun{
#' Sys.setenv(OPENAI_API_KEY = "Your API key")
#' response <- chat4R(content = "What is the capital of France?")
#' response
#' }
chat4R <- function(content,
Model = "gpt-4o-mini",
temperature = 1,
simple=TRUE,
fromJSON_parsed=FALSE,
api_key = Sys.getenv("OPENAI_API_KEY")) {
# Define parameters
api_url <- "https://api.openai.com/v1/chat/completions"
n <- 1
top_p <- 1
# Configure headers for the API request
headers <- httr::add_headers(`Content-Type` = "application/json",
`Authorization` = paste("Bearer", api_key))
# Define the body of the API request
body <- list(model = Model,
messages = list(list(role = "user", content = content)),
temperature = temperature, top_p = top_p, n = n)
# Send a POST request to the OpenAI server
response <- httr::POST(url = api_url,
body = jsonlite::toJSON(body, auto_unbox = TRUE),
encode = "json", config = headers)
# Extract and return the response content
if(simple){
return(data.frame(content=httr::content(response, "parsed")$choices[[1]]$message$content))
}else{
if(fromJSON_parsed){
raw_content <- httr::content(response, "raw")
char_content <- rawToChar(raw_content)
parsed_data <- jsonlite::fromJSON(char_content)
return(parsed_data)
}else{
return(data.frame(httr::content(response, "parsed")))
}
}
}
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