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import express from "express"; |
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import path from "path"; |
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import { fileURLToPath } from "url"; |
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import dotenv from "dotenv"; |
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import cookieParser from "cookie-parser"; |
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import { createRepo, uploadFiles, whoAmI } from "@huggingface/hub"; |
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import { InferenceClient } from "@huggingface/inference"; |
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import bodyParser from "body-parser"; |
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import checkUser from "./middlewares/checkUser.js"; |
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dotenv.config(); |
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const app = express(); |
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const ipAddresses = new Map(); |
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const __filename = fileURLToPath(import.meta.url); |
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const __dirname = path.dirname(__filename); |
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const PORT = process.env.APP_PORT || 3000; |
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const REDIRECT_URI = |
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process.env.REDIRECT_URI || `http://localhost:${PORT}/auth/login`; |
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const MODEL_ID = "deepseek-ai/DeepSeek-V3-0324"; |
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const MAX_REQUESTS_PER_IP = 4; |
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app.use(cookieParser()); |
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app.use(bodyParser.json()); |
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app.use(express.static(path.join(__dirname, "dist"))); |
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app.get("/api/login", (_req, res) => { |
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res.redirect( |
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302, |
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`https://huggingface.co/oauth/authorize?client_id=${process.env.OAUTH_CLIENT_ID}&redirect_uri=${REDIRECT_URI}&response_type=code&scope=openid%20profile%20write-repos%20manage-repos%20inference-api&prompt=consent&state=1234567890` |
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); |
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}); |
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app.get("/auth/login", async (req, res) => { |
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const { code } = req.query; |
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if (!code) { |
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return res.redirect(302, "/"); |
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} |
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const Authorization = `Basic ${Buffer.from( |
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`${process.env.OAUTH_CLIENT_ID}:${process.env.OAUTH_CLIENT_SECRET}` |
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).toString("base64")}`; |
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const request_auth = await fetch("https://huggingface.co/oauth/token", { |
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method: "POST", |
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headers: { |
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"Content-Type": "application/x-www-form-urlencoded", |
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Authorization, |
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}, |
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body: new URLSearchParams({ |
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grant_type: "authorization_code", |
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code: code, |
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redirect_uri: REDIRECT_URI, |
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}), |
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}); |
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const response = await request_auth.json(); |
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if (!response.access_token) { |
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return res.redirect(302, "/"); |
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} |
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res.cookie("hf_token", response.access_token, { |
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httpOnly: false, |
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secure: true, |
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sameSite: "none", |
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maxAge: 30 * 24 * 60 * 60 * 1000, |
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}); |
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return res.redirect(302, "/"); |
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}); |
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app.get("/api/@me", checkUser, async (req, res) => { |
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const { hf_token } = req.cookies; |
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try { |
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const request_user = await fetch("https://huggingface.co/oauth/userinfo", { |
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headers: { |
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Authorization: `Bearer ${hf_token}`, |
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}, |
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}); |
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const user = await request_user.json(); |
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res.send(user); |
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} catch (err) { |
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res.clearCookie("hf_token"); |
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res.status(401).send({ |
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ok: false, |
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message: err.message, |
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}); |
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} |
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}); |
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app.post("/api/deploy", checkUser, async (req, res) => { |
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const { html, title, path } = req.body; |
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if (!html || !title) { |
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return res.status(400).send({ |
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ok: false, |
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message: "Missing required fields", |
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}); |
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} |
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let newHtml = html; |
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if (!path) { |
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newHtml = html.replace( |
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/<\/body>/, |
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`<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: absolute; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">This website has been generated by <a href="https://enzostvs-deepsite.hf.space" style="color: #fff;" target="_blank" >DeepSite</a> <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;"></p></body>` |
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); |
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} |
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const file = new Blob([newHtml], { type: "text/html" }); |
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file.name = "index.html"; |
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const { hf_token } = req.cookies; |
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try { |
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const repo = { |
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type: "space", |
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name: path ?? "", |
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}; |
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let readme; |
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if (!path || path === "") { |
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const { name: username } = await whoAmI({ accessToken: hf_token }); |
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const newTitle = title |
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.toLowerCase() |
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.replace(/[^a-z0-9]+/g, "-") |
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.split("-") |
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.filter(Boolean) |
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.join("-") |
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.slice(0, 96); |
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const repoId = `${username}/${newTitle}`; |
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repo.name = repoId; |
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await createRepo({ |
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repo, |
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accessToken: hf_token, |
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}); |
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readme = `--- |
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title: ${newTitle} |
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emoji: 🐳 |
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colorFrom: blue |
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colorTo: blue |
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sdk: static |
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pinned: false |
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tags: |
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- deepsite |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference`; |
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} |
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const files = [file]; |
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if (readme) { |
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const readmeFile = new Blob([readme], { type: "text/markdown" }); |
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readmeFile.name = "README.md"; |
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files.push(readmeFile); |
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} |
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await uploadFiles({ |
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repo, |
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files, |
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accessToken: hf_token, |
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}); |
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return res.status(200).send({ ok: true, path: repo.name }); |
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} catch (err) { |
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return res.status(500).send({ |
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ok: false, |
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message: err.message, |
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}); |
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} |
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}); |
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app.post("/api/ask-ai", async (req, res) => { |
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const { prompt, html, previousPrompt } = req.body; |
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if (!prompt) { |
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return res.status(400).send({ |
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ok: false, |
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message: "Missing required fields", |
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}); |
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} |
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const { hf_token } = req.cookies; |
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let token = hf_token; |
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const ip = |
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req.headers["x-forwarded-for"]?.split(",")[0].trim() || |
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req.headers["x-real-ip"] || |
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req.socket.remoteAddress || |
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req.ip || |
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"0.0.0.0"; |
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if (!hf_token) { |
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ipAddresses.set(ip, (ipAddresses.get(ip) || 0) + 1); |
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if (ipAddresses.get(ip) > MAX_REQUESTS_PER_IP) { |
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return res.status(429).send({ |
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ok: false, |
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openLogin: true, |
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message: "Log In to continue using the service", |
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}); |
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} |
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token = process.env.DEFAULT_HF_TOKEN; |
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} |
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res.setHeader("Content-Type", "text/plain"); |
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res.setHeader("Cache-Control", "no-cache"); |
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res.setHeader("Connection", "keep-alive"); |
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const client = new InferenceClient(token); |
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let completeResponse = ""; |
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try { |
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const chatCompletion = client.chatCompletionStream({ |
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model: MODEL_ID, |
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provider: "nebius", |
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messages: [ |
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{ |
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role: "system", |
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content: |
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"ONLY USE HTML, CSS AND JAVASCRIPT. If you want to use ICON make sure to import the library first. Try to create the best UI possible by using only HTML, CSS and JAVASCRIPT. Also, try to ellaborate as much as you can, to create something unique. ALWAYS GIVE THE RESPONSE INTO A SINGLE HTML FILE", |
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}, |
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...(previousPrompt |
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? [ |
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{ |
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role: "user", |
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content: previousPrompt, |
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}, |
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] |
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: []), |
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...(html |
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? [ |
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{ |
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role: "assistant", |
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content: `The current code is: ${html}.`, |
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}, |
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] |
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: []), |
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{ |
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role: "user", |
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content: prompt, |
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}, |
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], |
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max_tokens: 12_000, |
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}); |
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while (true) { |
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const { done, value } = await chatCompletion.next(); |
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if (done) { |
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break; |
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} |
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const chunk = value.choices[0]?.delta?.content; |
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if (chunk) { |
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res.write(chunk); |
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completeResponse += chunk; |
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if (completeResponse.includes("</html>")) { |
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break; |
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} |
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} |
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} |
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res.end(); |
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} catch (error) { |
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console.error("Error:", error); |
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if (!res.headersSent) { |
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res.status(500).send({ |
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ok: false, |
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message: `You probably reached the MAX_TOKENS limit, context is too long. You can start a new conversation by refreshing the page.`, |
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}); |
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} else { |
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res.end(); |
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} |
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} |
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}); |
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app.get("*", (_req, res) => { |
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res.sendFile(path.join(__dirname, "dist", "index.html")); |
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}); |
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app.listen(PORT, () => { |
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console.log(`Server is running on port ${PORT}`); |
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}); |
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