ChatGpt结合Google文档完成自动化写作流程--1

news/2024/12/21 8:09:47/

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****


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