Updated to allow OPENAI_MODEL to be gpt-3.5-turbo.

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: chatgpt
 Type: Package
 Title: Interface to 'ChatGPT' from R
-Version: 0.1.5
+Version: 0.2.0
 Authors@R: c(
     person(
       given = "Juan Cruz", family = "Rodriguez", role = c("aut", "cre"), 
@@ -16,7 +16,7 @@ URL: https://github.com/jcrodriguez1989/chatgpt
 BugReports: https://github.com/jcrodriguez1989/chatgpt/issues
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 7.2.0
+RoxygenNote: 7.2.3
 Imports:
   httr,
   jsonlite,

R/addins.R

@@ -70,10 +70,7 @@ run_addin_ask_chatgpt <- function() {
   ))
   server <- function(input, output, session) {
     observeEvent(input$ask_button, {
-      chatgpt_reply <- trimws(sapply(
-        getFromNamespace("gpt_get_completions", "chatgpt")(input$question)$choices,
-        function(x) x$text
-      ))
+      chatgpt_reply <- ask_chatgpt(input$question)
       if (as.logical(Sys.getenv("OPENAI_VERBOSE", TRUE))) {
         cat(paste0("\n*** ChatGPT output:\n\n", chatgpt_reply, "\n"))
       }

R/ask_chatgpt.R

@@ -12,5 +12,5 @@
 #' @export
 #'
 ask_chatgpt <- function(question) {
-  trimws(sapply(gpt_get_completions(question)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(question))
 }

R/comment_code.R

@@ -13,5 +13,5 @@
 #'
 comment_code <- function(code) {
   prompt <- paste0('Add inline comments to the following R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/create_unit_tests.R

@@ -17,5 +17,5 @@ create_unit_tests <- function(code) {
   prompt <- paste0(
     'Create a full testthat file, with test cases for the following R code: "', code, '"'
   )
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/create_variable_name.R

@@ -13,5 +13,5 @@
 #'
 create_variable_name <- function(code) {
   prompt <- paste0('Give a good variable name to the result of the following R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/document_code.R

@@ -13,5 +13,5 @@
 #'
 document_code <- function(code) {
   prompt <- paste0('Document, in roxygen2 format, this R function: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/explain_code.R

@@ -13,5 +13,5 @@
 #'
 explain_code <- function(code) {
   prompt <- paste0('Explain the following R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/find_issues_in_code.R

@@ -13,5 +13,5 @@
 #'
 find_issues_in_code <- function(code) {
   prompt <- paste0('Find issues or bugs in the following R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/gpt_get_completions.R

@@ -11,21 +11,35 @@ gpt_get_completions <- function(prompt, openai_api_key = Sys.getenv("OPENAI_API_
     stop("`OPENAI_API_KEY` not provided.")
   }
   # See https://beta.openai.com/docs/api-reference/completions/create
+  model <- Sys.getenv("OPENAI_MODEL", "text-davinci-003")
   params <- list(
-    model = Sys.getenv("OPENAI_MODEL", "text-davinci-003"),
-    max_tokens = as.numeric(Sys.getenv("OPENAI_MAX_TOKENS", 256)),
-    temperature = as.numeric(Sys.getenv("OPENAI_TEMPERATURE", 0.7)),
-    top_p = as.numeric(Sys.getenv("OPENAI_TOP_P", 1)),
-    frequency_penalty = as.numeric(Sys.getenv("OPENAI_FREQUENCY_PENALTY", 0)),
-    presence_penalty = as.numeric(Sys.getenv("OPENAI_PRESENCE_PENALTY", 0))
+    model = model,
+    max_tokens = as.numeric(Sys.getenv("OPENAI_MAX_TOKENS",256)),
+    temperature = as.numeric(Sys.getenv("OPENAI_TEMPERATURE",0.7)),
+    top_p = as.numeric(Sys.getenv("OPENAI_TOP_P",1)),
+    frequency_penalty = as.numeric(Sys.getenv("OPENAI_FREQUENCY_PENALTY",0)),
+    presence_penalty = as.numeric(Sys.getenv("OPENAI_PRESENCE_PENALTY",0))
   )
   if (as.logical(Sys.getenv("OPENAI_VERBOSE", TRUE))) {
     cat(paste0("\n*** ChatGPT input:\n\n", prompt, "\n"))
   }
-  content(POST(
-    "https://api.openai.com/v1/completions",
-    add_headers("Authorization" = paste("Bearer", openai_api_key)),
-    content_type_json(),
-    body = toJSON(c(params, list(prompt = prompt)), auto_unbox = TRUE)
-  ))
+  if (model == "gpt-3.5-turbo") {
+    messages = list(
+      list(role = "system", content = "You are a helpful assistant."),
+      list(role = "user", content = prompt)
+    )
+    content(POST(
+      "https://api.openai.com/v1/chat/completions",
+      add_headers("Authorization" = paste("Bearer", openai_api_key)),
+      content_type_json(),
+      body = toJSON(c(params, list(messages = messages)), auto_unbox = TRUE)
+    ))
+  } else {
+    content(POST(
+      "https://api.openai.com/v1/completions",
+      add_headers("Authorization" = paste("Bearer", openai_api_key)),
+      content_type_json(),
+      body = toJSON(c(params, list(prompt = prompt)), auto_unbox = TRUE)
+    ))
+  }
 }

R/optimize_code.R

@@ -13,5 +13,5 @@
 #'
 optimize_code <- function(code) {
   prompt <- paste0('Optimize the following R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }

R/parse_response.R

@@ -0,0 +1,17 @@
+#' Parse OpenAI API Response
+#'
+#' Takes the raw response from the OpenAI API and extracts the text content from it.
+#' This function is currently designed to differentiate between gpt-3.5-turbo and
+#' others.
+#'
+#' @param raw_response The raw response object returned by the OpenAI API.
+#' @return Returns a character vector containing the text content of the response.
+#'
+parse_response <- function(raw_response){
+  if(Sys.getenv("OPENAI_MODEL", "text-davinci-003") == "gpt-3.5-turbo"){
+    out <- trimws(sapply(raw_response$choices, function(x) x$message$content))
+  } else {
+    out <- trimws(sapply(raw_response$choices, function(x) x$text))
+  }
+  return(out)
+}

R/refactor_code.R

@@ -13,5 +13,5 @@
 #'
 refactor_code <- function(code) {
   prompt <- paste0('Refactor the following R code, returning valid R code: "', code, '"')
-  trimws(sapply(gpt_get_completions(prompt)$choices, function(x) x$text))
+  parse_response(gpt_get_completions(prompt))
 }