GPT机器人可以通过API连接谷歌文档，让我们进行文字创作和编辑。可以通过它，提供写作思路，创建标题，起草文章介绍和大纲，编写段落，最后总结全文。同时，在一篇文章里，还能帮我们插入图片。

写作流程：

• 想法 (idea)
• 标题 (title)
• 介绍 (introduction)
• 大纲 (outline)
• 段落（内容）(content)
• 结论 (conclusion)

• // 建立一个下拉菜单
  function onOpen() {DocumentApp.getUi().createMenu("AI Editor").addItem("Generate Ideas", "generateIdeas").addItem("Generate Image", "generateImage").addToUi();
  }
  // ****菜单****// 输入API,模型选择text-davinci-003
  var apiKey = "xxxxxxxxxxxxx";
  var model = "text-davinci-003"
  // ****变量****// 生成指示，把xxxxxxx替换为具体功能
  function xxxxxxx() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "xxxxxxxxxxxx " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****指示****// 图片生成工具 - 尺寸 '256x256', '512x512', '1024x1024'
  function generateImage() {
  var doc = DocumentApp.getActiveDocument()var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()var body = doc.getBody()temperature= 0maxTokens = 2000
  var prompt2 = "Generate images for " + selectedText;const requestBody2 = {"prompt": prompt2,"n": 1,"size": "512x512"};const requestOptions2 = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody2)}const response2 = UrlFetchApp.fetch("https://api.openai.com/v1/images/generations", requestOptions2);var responseText = response2.getContentText();var json = JSON.parse(responseText);var url1=json['data'][0]['url']body.appendImage(UrlFetchApp.fetch(url1).getBlob());
  }
  // ****图片****

  第一步打开Google文档，在工具栏寻找扩展程序，apps脚本

• 

  修改function函数：1.先建立下拉表单。

  // 建立一个下拉菜单
  function onOpen() {DocumentApp.getUi().createMenu("AI Editor").addItem("Generate Ideas", "generateIdeas").addItem("Generate Title", "generateTitle").addItem("Generate Introduction", "generateIntroduction").addItem("Generate Outline", "generateOutline").addItem("Generate Paragraph", "generateParagraph").addItem("Generate Conclusion", "generateConclusion").addItem("Generate Image", "generateImage").addToUi();
  }
  // ****菜单****

   

   

  // 输入API"XXXXXXXXXXXXXXXX",模型选择text-davinci-003
  var apiKey = "XXXXXXXXXXXXXXXXX";
  var model = "text-davinci-003"
  // ****变量****
  //api的key，去openai的用户那里建立apikey：sk-************;
  

  效果如下：

   

  // 建立一个下拉菜单
  function onOpen() {DocumentApp.getUi().createMenu("AI Editor").addItem("Generate Ideas", "generateIdeas").addItem("Generate Title", "generateTitle").addItem("Generate Introduction", "generateIntroduction").addItem("Generate Outline", "generateOutline").addItem("Generate Paragraph", "generateParagraph").addItem("Generate Conclusion", "generateConclusion").addItem("Generate Image", "generateImage").addToUi();
  }
  // ****菜单****// 输入API"XXXXXXXXXXXXXXXX",模型选择text-davinci-003
  var apiKey = "XXXXXXXXXXXXXXXXX";
  var model = "text-davinci-003"
  // ****变量****// 给出5个想法
  function GenerateIdeas() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "Please generate 5 ideas for " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****指示****// 生成标题
  function generateTitle() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "please choose and generate one article title only in Chinese out of " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****标题****// 文章介绍
  function generateIntroduction() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "please generate an introduction in Chinese for this article talking about " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****文章介绍****// 文章大纲
  function generateOutline() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "please generate outline in Chinese for " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****大纲****// 段落
  function generateParagraph() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "please write a paragraph in Chinese for " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****段落****// 结论
  function generateConclusion() {
  var doc = DocumentApp.getActiveDocument()
  var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()
  var body = doc.getBody()
  var prompt = "please summarize as the conclusion for " + selectedText;
  temperature= 0
  maxTokens = 2060const requestBody = {"model": model,"prompt": prompt,"temperature": temperature,"max_tokens": maxTokens,};const requestOptions = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody)}
  const response = UrlFetchApp.fetch("https://api.openai.com/v1/completions", requestOptions);
  var responseText = response.getContentText();
  var json = JSON.parse(responseText);
  Logger.log(json['choices'][0]['text'])
  para = body.appendParagraph(json['choices'][0]['text'])
  }
  // ****结论****// 图片生成工具 - 尺寸 '256x256', '512x512', '1024x1024'
  function generateImage() {
  var doc = DocumentApp.getActiveDocument()var selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText()var body = doc.getBody()temperature= 0maxTokens = 2000
  var prompt2 = "Generate one piece of colorful picture for " + selectedText;const requestBody2 = {"prompt": prompt2,"n": 1,"size": "512x512"};const requestOptions2 = {"method": "POST","headers": {"Content-Type": "application/json","Authorization": "Bearer "+apiKey},"payload": JSON.stringify(requestBody2)}const response2 = UrlFetchApp.fetch("https://api.openai.com/v1/images/generations", requestOptions2);var responseText = response2.getContentText();var json = JSON.parse(responseText);var url1=json['data'][0]['url']body.appendImage(UrlFetchApp.fetch(url1).getBlob());
  }
  // ****图片****