The Smart Chef

ChatGPT from R

Utilizing ChatGPT from R can be very useful in various applications as it provides advanced natural language processing capabilities through OpenAI's GPT-3 technology. By making API requests to ChatGPT from R, you can obtain dynamically generated text, which can then be used in various ways.

To utilize ChatGPT from R, you would first make API requests to ChatGPT from your R code. Then, you could use the generated responses in your R application or output.

In summary, utilizing ChatGPT from R can provide a powerful way to enhance your script or application with advanced natural language processing capabilities and dynamic content generation.

Here's an example of how to make a request of chatGPT utilizing R code.

In order to utilize this API, you will need to request an API endpoint from chatGPT. This can easily be completed by following the documentation (https://platform.openai.com/docs/quickstart/build-your-application)

Chat GPT from R

  

library(httr)

# Replace YOUR_API_KEY with your actual API key from OpenAI
api_key <- "YOUR_API_KEY"

# Define the API endpoint URL
url <- "https://api.openai.com/v1/engines/text-davinci-002/jobs"

# Define the prompt or question you want to ask ChatGPT
prompt <- "What is the capital of France?"

# Define the API request body
body <- list(
  prompt=prompt,
  max_tokens=100,
  n=1,
  temperature=0.5
)

# Make the API request
response <- POST(url,
                 add_headers("Content-Type" = "application/json",
                             "Authorization" = paste0("Bearer ", api_key)),
                 body=body,
                 encode="json")

# Check the response status code
if (response$status_code == 200) {
  # Extract the response data
  response_data <- content(response)

  # Extract the generated response text
  response_text <- response_data$choices[[1]]$text

  # Print the response text
  print(response_text)
} else {
  # Print the error message
  print(paste("Request failed with status code:", response$status_code))
}