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ChatGPT & Google Doc

Amir Banihashemi

Creating our own AI Content Writer in Google Doc

// Creates our custom menu in our doc

function onOpen() {

DocumentApp.getUi().createMenu("ChatGPT")

.addItem("Generate Twitter Post", "generateTwitterPost")

.addItem("Generate Linkedin Post", "generateLinkedinPost")

.addItem("Marketing Post", "marketingPost")

.addToUi();

}

// API Key & model type

const API_KEY = "sk-xxxx"

const MODEL_TYPE = "gpt-3.5-turbo";

function marketingPost() {

const doc = DocumentApp.getActiveDocument();

const selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText();

const body = doc.getBody();

const prompt = "Help me create a marketing post on " + selectedText;

const temperature = 0;

const maxTokens = 2060;

const requestBody = {

model: MODEL_TYPE,

messages: [{role: "user", content: prompt}],

temperature,

max_tokens: maxTokens,

};

const requestOptions = {

method: "POST",

headers: {

"Content-Type": "application/json",

Authorization: "Bearer " + API_KEY,

payload: JSON.stringify(requestBody),

};

const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", requestOptions);

const responseText = response.getContentText();

const json = JSON.parse(responseText);

const generatedText = json['choices'][0]['message']['content'];

Logger.log(generatedText);

body.appendParagraph(generatedText.toString());

}

// Generate Linkedin Post

function generateLinkedinPost() {

const doc = DocumentApp.getActiveDocument();

const selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText();

const body = doc.getBody();

const prompt = "Help me write a Linkedin post on " + selectedText;

const temperature = 0;

const maxTokens = 2060;

const requestBody = {

model: MODEL_TYPE,

messages: [{role: "user", content: prompt}],

temperature,

max_tokens: maxTokens,

};

const requestOptions = {

method: "POST",

headers: {

"Content-Type": "application/json",

Authorization: "Bearer " + API_KEY,

payload: JSON.stringify(requestBody),

};

const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", requestOptions);

const responseText = response.getContentText();

const json = JSON.parse(responseText);

const generatedText = json['choices'][0]['message']['content'];

Logger.log(generatedText);

body.appendParagraph(generatedText.toString());

}

// Generate Twitter Post

function generateTwitterPost() {

const doc = DocumentApp.getActiveDocument();

const selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText();

const body = doc.getBody();

const prompt = "Generate an essay on " + selectedText;

const temperature = 0;

const maxTokens = 2060;

const requestBody = {

model: MODEL_TYPE,

messages: [{role: "user", content: prompt}],

temperature,

max_tokens: maxTokens,

};

const requestOptions = {

method: "POST",

headers: {

"Content-Type": "application/json",

Authorization: "Bearer " + API_KEY,

payload: JSON.stringify(requestBody),

};

const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", requestOptions);

const responseText = response.getContentText();

const json = JSON.parse(responseText);

const generatedText = json['choices'][0]['message']['content'];

Logger.log(generatedText);

body.appendParagraph(generatedText.toString());

}

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