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import express from "express" |
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import { python } from 'pythonia' |
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import { daisy } from "./daisy.mts" |
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import { alpine } from "./alpine.mts" |
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const { AutoModelForCausalLM } = await python('ctransformers') |
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const css = [ |
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"/css/daisyui@2.6.0.css", |
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].map(item => `<link href="${item}" rel="stylesheet" type="text/css"/>`) |
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.join("") |
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const script = [ |
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"/js/alpinejs@3.12.2.js", |
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"/js/tailwindcss@3.3.2.js" |
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].map(item => `<script src="${item}"></script>`) |
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.join("") |
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const llm = await AutoModelForCausalLM.from_pretrained$( |
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"TheBloke/WizardCoder-15B-1.0-GGML", { |
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model_file: "WizardCoder-15B-1.0.ggmlv3.q4_0.bin", |
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model_type: "starcoder" |
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}) |
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const app = express() |
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const port = 7860 |
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const timeoutInSec = 60 * 60 |
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console.log("timeout set to 60 minutes") |
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app.use(express.static("public")) |
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const maxParallelRequests = 1 |
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const pending: { |
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total: number; |
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queue: string[]; |
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} = { |
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total: 0, |
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queue: [], |
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} |
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const endRequest = (id: string, reason: string) => { |
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if (!id || !pending.queue.includes(id)) { |
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return |
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} |
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pending.queue = pending.queue.filter(i => i !== id) |
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console.log(`request ${id} ended (${reason})`) |
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} |
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process.on('SIGINT', () => { |
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try { |
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(python as any).exit() |
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} catch (err) { |
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} |
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process.exit(0) |
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}) |
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app.get("/debug", (req, res) => { |
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res.write(JSON.stringify({ |
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nbTotal: pending.total, |
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nbPending: pending.queue.length, |
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queue: pending.queue, |
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})) |
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res.end() |
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}) |
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app.get("/", async (req, res) => { |
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if (pending.queue.length >= maxParallelRequests) { |
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res.write("sorry, max nb of parallel requests reached") |
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res.end() |
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return |
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} |
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const id = `${pending.total++}` |
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console.log(`new request ${id}`) |
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pending.queue.push(id) |
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const prefix = `<html><head>${css}${script}` |
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res.write(prefix) |
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req.on("close", function() { |
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endRequest(id, "browser ended the connection") |
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}) |
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setTimeout(() => { |
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endRequest(id, `timed out after ${timeoutInSec}s`) |
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}, timeoutInSec * 1000) |
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const finalPrompt = `# Context |
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Generate a webpage written in English about: ${req.query.prompt}. |
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# Documentation |
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${daisy} |
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# Guidelines |
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- Do not write a tutorial or repeat the instruction, but directly write the final code within a script tag |
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- Use a color scheme consistent with the brief and theme |
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- You need to use Tailwind CSS and DaisyUI for the UI, pure vanilla JS and AlpineJS for the JS. |
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- You vanilla JS code will be written directly inside the page, using <script type="text/javascript">...</script> |
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- You MUST use English, not Latin! (I repeat: do NOT write lorem ipsum!) |
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- No need to write code comments, and try to make the code compact (short function names etc) |
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- Use a central layout by wrapping everything in a \`<div class="flex flex-col justify-center">\` |
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# Result output |
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${prefix}` |
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try { |
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const inputTokens = await llm.tokenize(finalPrompt) |
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console.log("initializing the generator (may take 30s or more)") |
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const generator = await llm.generate(inputTokens) |
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console.log("generator initialized, beginning token streaming..") |
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for await (const token of generator) { |
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if (!pending.queue.includes(id)) { |
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break |
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} |
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const tmp = await llm.detokenize(token) |
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process.stdout.write(tmp) |
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res.write(tmp) |
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} |
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endRequest(id, `normal end of the LLM stream for request ${id}`) |
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} catch (e) { |
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endRequest(id, `premature end of the LLM stream for request ${id} (${e})`) |
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} |
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try { |
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res.end() |
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} catch (err) { |
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console.log(`couldn't end the HTTP stream for request ${id} (${err})`) |
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} |
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}) |
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app.listen(port, () => { console.log(`Open http://localhost:${port}/?prompt=a%20landing%20page%20for%20a%20company%20called%20Hugging%20Face`) }) |
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