指挥chatgpt写一个调用自己api并回复问题的shiny程序

自从chatgpt开放了gpt-3.5-turbo的API后，调用API的成本大大降低，今天使用网页版chatgpt写一个调用gpt-3.5-turbo进行聊天的shiny程序。成品shiny代码如下：

# 加载必要的包和库
library(shiny)
library(openssl)
library(openai)
library(httr)
library(jsonlite)
library(htmltools)
library(markdown)
Sys.setenv("OPENAI_API_KEY"="你自己的API")
set_config(use_proxy(url="代理服务器ip或者是开了代理服务器的本地ip", port="代理服务器提供的sock端口"))

# 使用 Shiny 库构建用户界面
ui <- fluidPage(
  titlePanel("ChatGPT"),
  sidebarLayout(
    sidebarPanel(
      div(
        tags$textarea(
          id = "message", 
          class = "form-control",
          rows = 2,
          maxlength = 5000,
          onkeypress = "if (event.keyCode == 13) { event.preventDefault(); $('#send').click(); }",
          placeholder = "Type here..."),
        style = "width:100%;"
      ),
      actionButton("send", "Send"),
      actionButton("clear", "Clear")
    ),
    mainPanel(
      uiOutput("chat_history")
    )
  )
)


# 定义服务器逻辑
server <- function(input, output) {
  response_finally <- reactiveValues(chat_history = data.frame(
    timestamp = character(),
    role = character(),
    content = character()
  ))
  
  send_message <- function() {
    new_message <- list(
      list(
        "role" = "user",
        "content" = input$message
      )
    )
    # 加入缓冲提示
    showNotification(id = "wait","正在等待API响应...", type = "error", duration = NULL)
    response <- create_chat_completion(messages = new_message,model = "gpt-3.5-turbo")$choices$message.content
    # 移除缓冲提示
    removeNotification(id = "wait")
    timestamp <- format(Sys.time(), "%Y-%m-%d %H:%M:%S")
    role <- "ChatGPT"
    content <- response
    new_row <- data.frame(timestamp, role, content, stringsAsFactors = FALSE)
    response_finally$chat_history <- rbind(response_finally$chat_history, new_row)
  }
  
  observeEvent(input$send, {
    send_message()
  })
  
  
  observeEvent(input$message, {
    if (nchar(input$message) >= 50) {
      send_message()
      updateTextInput(session, "message", "")
    }
  })
  
  observeEvent(input$clear, {
    response_finally$chat_history <- data.frame(
      timestamp = character(),
      role = character(),
      content = character(),
      stringsAsFactors = FALSE
    )
  })
  
  output$chat_history <- renderUI({
    chat_md <- apply(response_finally$chat_history, 1, function(row) {
      content <- row["content"]
      
      # 生成Markdown输出
      paste0("**[", row["timestamp"], "] ", row["role"], ":** ", content, "\n\n")
    })
    
    chat_html <- markdownToHTML(paste(chat_md, collapse = ""))
    HTML(chat_html)
  })
}

# 运行 Shiny 应用
shinyApp(ui = ui, server = server)