ChatGpt结合Google文档完成自动化写作流程--1-Toy模板网

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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 = 2060
  const 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= 0
 maxTokens = 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

ChatGpt结合Google文档完成自动化写作流程--1

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****

ChatGpt结合Google文档完成自动化写作流程--1

文章来源地址https://www.toymoban.com/news/detail-410231.html

// 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： ChatGpt结合Google文档完成自动化写作流程--1

// 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 = 2060
  const 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 = 2060
  const 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 = 2060
  const 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 = 2060
  const 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 = 2060
  const 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 = 2060
  const 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= 0
 maxTokens = 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****

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