mirror of
https://github.com/ikechan8370/chatgpt-plugin.git
synced 2025-12-16 21:37:11 +00:00
feat: support dalle image variation
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parent
38de2ce714
commit
5fceef37ec
5 changed files with 127 additions and 6 deletions
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@ -279,7 +279,7 @@ export class chatgpt extends plugin {
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}
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}
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if (reply) {
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if (reply) {
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for (let val of reply) {
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for (let val of reply) {
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if (val.type == 'image') {
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if (val.type === 'image') {
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e.img = [val.url]
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e.img = [val.url]
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break
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break
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}
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}
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56
apps/draw.js
56
apps/draw.js
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@ -1,7 +1,7 @@
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import plugin from '../../../lib/plugins/plugin.js'
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import plugin from '../../../lib/plugins/plugin.js'
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import { segment } from 'oicq'
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import { segment } from 'oicq'
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import { createImage } from '../utils/dalle.js'
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import { createImage, imageVariation } from '../utils/dalle.js'
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import { makeForwardMsg} from "../utils/common.js";
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import { makeForwardMsg } from '../utils/common.js'
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import _ from 'lodash'
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import _ from 'lodash'
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export class dalle extends plugin {
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export class dalle extends plugin {
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@ -15,6 +15,10 @@ export class dalle extends plugin {
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{
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{
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reg: '#(chatgpt|ChatGPT|dalle|Dalle)(绘图|画图)',
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reg: '#(chatgpt|ChatGPT|dalle|Dalle)(绘图|画图)',
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fnc: 'draw'
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fnc: 'draw'
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},
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{
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reg: '#(chatgpt|ChatGPT|dalle|Dalle)(修图|图片变形|改图)',
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fnc: 'variation'
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}
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}
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]
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]
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})
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})
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@ -37,7 +41,7 @@ export class dalle extends plugin {
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this.reply('大小不符合要求,必须是256x256/512x512/1024x1024中的一个')
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this.reply('大小不符合要求,必须是256x256/512x512/1024x1024中的一个')
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return false
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return false
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}
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}
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await redis.set(`CHATGPT:DRAW:${e.sender.user_id}`, 'c', {EX: 30})
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await redis.set(`CHATGPT:DRAW:${e.sender.user_id}`, 'c', { EX: 30 })
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let priceMap = {
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let priceMap = {
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'1024x1024': 0.02,
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'1024x1024': 0.02,
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'512x512': 0.018,
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'512x512': 0.018,
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@ -57,7 +61,51 @@ export class dalle extends plugin {
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this.reply(`绘图失败: ${err}`, true)
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this.reply(`绘图失败: ${err}`, true)
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await redis.del(`CHATGPT:DRAW:${e.sender.user_id}`)
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await redis.del(`CHATGPT:DRAW:${e.sender.user_id}`)
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}
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}
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}
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async variation (e) {
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let ttl = await redis.ttl(`CHATGPT:VARIATION:${e.sender.user_id}`)
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if (ttl > 0 && !e.isMaster) {
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this.reply(`冷却中,请${ttl}秒后再试`)
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return false
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}
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let imgUrl
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if (e.source) {
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let reply
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if (e.isGroup) {
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reply = (await e.group.getChatHistory(e.source.seq, 1)).pop()?.message
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} else {
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reply = (await e.friend.getChatHistory(e.source.time, 1)).pop()?.message
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}
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if (reply) {
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for (let val of reply) {
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if (val.type === 'image') {
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console.log(val)
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imgUrl = val.url
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break
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}
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}
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}
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} else if (e.img) {
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imgUrl = e.img[0]?.url
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}
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if (!imgUrl) {
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this.reply('图呢?')
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return false
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}
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await redis.set(`CHATGPT:VARIATION:${e.sender.user_id}`, 'c', { EX: 30 })
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await this.reply('正在为您生成图片变形,请稍候……')
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try {
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let images = (await imageVariation(imgUrl)).map(image => segment.image(`base64://${image}`))
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if (images.length > 1) {
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this.reply(await makeForwardMsg(e, images))
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} else {
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this.reply(images[0], true)
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}
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} catch (err) {
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console.log(err)
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this.reply(`绘图失败: ${err}`, true)
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await redis.del(`CHATGPT:VARIATION:${e.sender.user_id}`)
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}
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}
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}
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}
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}
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@ -13,6 +13,7 @@
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"puppeteer-extra-plugin-recaptcha": "^3.6.6",
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"puppeteer-extra-plugin-recaptcha": "^3.6.6",
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"puppeteer-extra-plugin-stealth": "^2.11.1",
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"puppeteer-extra-plugin-stealth": "^2.11.1",
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"random": "^4.1.0",
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"random": "^4.1.0",
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"sharp": "^0.31.3",
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"undici": "^5.19.1",
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"undici": "^5.19.1",
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"uuid": "^9.0.0"
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"uuid": "^9.0.0"
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}
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}
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@ -2,6 +2,8 @@
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// import stripMarkdown from 'strip-markdown'
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// import stripMarkdown from 'strip-markdown'
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import { exec } from 'child_process'
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import { exec } from 'child_process'
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import lodash from 'lodash'
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import lodash from 'lodash'
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import fs from 'node:fs'
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import path from 'node:path'
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// export function markdownToText (markdown) {
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// export function markdownToText (markdown) {
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// return remark()
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// return remark()
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// .use(stripMarkdown)
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// .use(stripMarkdown)
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@ -205,3 +207,14 @@ async function execSync (cmd) {
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})
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})
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})
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})
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}
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}
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export function mkdirs (dirname) {
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if (fs.existsSync(dirname)) {
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return true
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} else {
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if (mkdirs(path.dirname(dirname))) {
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fs.mkdirSync(dirname)
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return true
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}
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}
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}
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@ -1,6 +1,8 @@
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import { Configuration, OpenAIApi } from 'openai'
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import { Configuration, OpenAIApi } from 'openai'
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import { Config } from './config.js'
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import { Config } from './config.js'
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import fs from 'fs'
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import { mkdirs } from './common.js'
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import sharp from 'sharp'
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export async function createImage (prompt, n = 1, size = '512x512') {
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export async function createImage (prompt, n = 1, size = '512x512') {
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const configuration = new Configuration({
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const configuration = new Configuration({
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apiKey: Config.apiKey
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apiKey: Config.apiKey
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@ -17,3 +19,60 @@ export async function createImage (prompt, n = 1, size = '512x512') {
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})
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})
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return response.data.data?.map(pic => pic.b64_json)
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return response.data.data?.map(pic => pic.b64_json)
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}
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}
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export async function imageVariation (imageUrl, n = 1, size = '512x512') {
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const configuration = new Configuration({
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apiKey: Config.apiKey
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})
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const openai = new OpenAIApi(configuration)
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if (Config.debug) {
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logger.info({ imageUrl, n, size })
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}
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const imageResponse = await fetch(imageUrl)
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const fileType = imageResponse.headers.get('Content-Type').split('/')[1]
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let fileLoc = `data/chatgpt/imagesAccept/${Date.now()}.${fileType}`
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mkdirs('data/chatgpt/imagesAccept')
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const blob = await imageResponse.blob()
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const arrayBuffer = await blob.arrayBuffer()
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const buffer = Buffer.from(arrayBuffer)
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await fs.writeFileSync(fileLoc, buffer)
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let croppedFileLoc = `data/chatgpt/imagesAccept/${Date.now()}_cropped.png`
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await resizeAndCropImage(fileLoc, croppedFileLoc, 512)
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const response = await openai.createImageVariation(
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fs.createReadStream(croppedFileLoc),
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n,
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size,
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'b64_json'
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)
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if (response.status !== 200) {
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console.log(response.data.error)
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}
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await fs.unlinkSync(fileLoc)
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await fs.unlinkSync(croppedFileLoc)
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return response.data.data?.map(pic => pic.b64_json)
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}
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async function resizeAndCropImage (inputFilePath, outputFilePath, size = 512) {
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// Determine the maximum dimension of the input image
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const metadata = await sharp(inputFilePath).metadata()
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const maxDimension = Math.max(metadata.width, metadata.height)
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logger.mark(`original picture size is ${metadata.width} x ${metadata.height}`)
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// Calculate the required dimensions for the output image
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const outputWidth = size * metadata.width / maxDimension
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const outputHeight = size * metadata.height / maxDimension
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// Resize the image to the required dimensions
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await sharp(inputFilePath)
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.resize(outputWidth, outputHeight, {
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fit: 'contain',
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background: { r: 255, g: 255, b: 255, alpha: 1 }
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})
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.resize(size, size, { fit: 'cover', position: 'center' })
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.png()
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.toFile(outputFilePath)
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console.log('Image resized successfully!')
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console.log('Image resized and cropped successfully!')
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}
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