Spaces:
Running
Running
<html> | |
<head> | |
<title>AI App Factory π</title> | |
<link href="https://cdn.jsdelivr.net/npm/daisyui@3.1.6/dist/full.css" rel="stylesheet" type="text/css" /> | |
<script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script> | |
<script src="https://cdn.tailwindcss.com?plugins=forms,typography,aspect-ratio"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.2/iframeResizer.contentWindow.min.js"></script> | |
</head> | |
<body> | |
<div class="flex flex-col md:flex-row" x-data="app()" x-init="init()"> | |
<div | |
class="hero md:h-screen bg-stone-100 transition-[width] delay-150 ease-in-out" | |
:class="open ? 'w-full md:w-2/6' : 'w-full md:w-6/6'" | |
> | |
<div class="hero-content text-center"> | |
<div class="flex flex-col w-full md:max-w-xl space-y-3 md:space-y-6"> | |
<h1 | |
class="font-bold text-stone-600 mb-1 md:mb-3 transition-all delay-150 ease-in-out" | |
:class="open | |
? 'text-2xl md:text-3xl lg:text-4xl' | |
: 'text-2xl md:text-3xl lg:text-6xl'" | |
> | |
AI App Factory π | |
</h1> | |
<div | |
class="py-1 md:py-2 space-y-2 md:space-y-3 text-stone-600 transition-all delay-150 ease-in-out" | |
:class="open | |
? 'text-lg lg:text-xl' | |
: 'text-lg lg:text-xl'" | |
> | |
<p>A space to generate Hugging Face Spaces using a LLM.</p> | |
<p>The Space will be created under your name, so please provide a valid Hugging Face token (with <span class="font-bold font-mono text-sm text-red-900">WRITE</span> access).</p> | |
</div> | |
<input | |
name="token" | |
type="password" | |
x-model="token" | |
placeholder="Your Hugging Face token" | |
class="input w-full rounded text-stone-800 bg-stone-50 border-2 border-stone-400 font-mono text-md md:text-lg" | |
/> | |
<textarea | |
name="promptDraft" | |
x-model="promptDraft" | |
rows="10" | |
placeholder="Describe your web app" | |
class="input w-full rounded text-stone-800 bg-stone-50 border-2 border-stone-400 font-mono text-md md:text-lg h-24 md:h-48" | |
></textarea> | |
<p class="py-1 md:py-2 text-stone-700 text-italic"> | |
Examples: | |
<a href="/?prompt=a simple todo list app using nextjs" class="text-bold underline">todo list using nextjs</a>, | |
<a href="/?prompt=a simple html page for a cookie recipe" class="text-bold underline">cookie recipe</a> | |
</p> | |
<button | |
class="btn disabled:text-stone-400" | |
@click="open = true, saveToken(token), prompt = promptDraft, state = state === 'stopped' ? 'loading' : 'stopped', state === 'streaming' ? stopGeneration() : true" | |
:class="promptDraft.length < minPromptSize ? 'btn-neutral' : state === 'stopped' ? 'btn-accent' : 'btn-warning'" | |
:disabled="promptDraft.length < minPromptSize" | |
> | |
<span x-show="promptDraft.length < minPromptSize">Prompt too short to generate</span> | |
<span x-show="promptDraft.length >= minPromptSize && state !== 'stopped'">Stop now</span> | |
<span x-show="promptDraft.length >= minPromptSize && state === 'stopped'">Generate!</span> | |
</button> | |
<div class="flex flex-col text-stone-700 space-y-1 md:space-y-2"> | |
<p class="text-stone-700"> | |
Model used: | |
<a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct" class="underline" target="_blank"> | |
meta-llama/Meta-Llama-3-70B-Instruct (you need to accept the terms) | |
</a> | |
</p> | |
<p>Powered by π€ <a href="https://huggingface.co/inference-api" class="underline" target="_blank">Inference API</a></p> | |
<p class="text-stone-700" x-show="state === 'loading'"> | |
Waiting for the generation to begin (might take a few minutes).. | |
</p> | |
<p class="text-stone-700" x-show="state === 'streaming'"> | |
Content size: <span x-text="humanFileSize(size, true, 2)"></span>. This version generates up | |
to 4096 tokens. | |
</p> | |
</div> | |
</div> | |
</div> | |
</div> | |
<div | |
class="flex flex-col transition-[width] delay-150 ease-in-out md:h-screen" | |
:class="open ? 'w-full md:w-4/6' : 'w-full md:w-0'" | |
> | |
<iframe | |
id="iframe" | |
class="border-none w-full md:min-h-screen" | |
:src="!open | |
? '/placeholder.html' | |
: `/app?prompt=${encodeURIComponent(prompt)}&token=${encodeURIComponent(token)}` | |
" | |
></iframe> | |
<div | |
x-show="state !== 'stopped'" | |
class="flex w-full -mt-20 items-end justify-center pointer-events-none"> | |
<div class="flex flex-row py-3 px-8 text-center bg-stone-200 text-stone-600 rounded-md shadow-md"> | |
<div class="animate-bounce duration-150 mr-1">π€</div> | |
<div>Generating your app..</div> | |
</div> | |
</div> | |
</div> | |
</div> | |
<script> | |
/** | |
* Format bytes as human-readable text. | |
* | |
* @param bytes Number of bytes. | |
* @param si True to use metric (SI) units, aka powers of 1000. False to use | |
* binary (IEC), aka powers of 1024. | |
* @param dp Number of decimal places to display. | |
* | |
* @return Formatted string. | |
*/ | |
function humanFileSize(bytes, si = false, dp = 1) { | |
const thresh = si ? 1000 : 1024; | |
if (Math.abs(bytes) < thresh) { | |
return bytes + " B"; | |
} | |
const units = si | |
? ["kB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"] | |
: ["KiB", "MiB", "GiB", "TiB", "PiB", "EiB", "ZiB", "YiB"]; | |
let u = -1; | |
const r = 10 ** dp; | |
do { | |
bytes /= thresh; | |
++u; | |
} while (Math.round(Math.abs(bytes) * r) / r >= thresh && u < units.length - 1); | |
return bytes.toFixed(dp) + " " + units[u]; | |
} | |
function stopGeneration() { | |
console.log("stopping generation.."); | |
document?.getElementById("iframe")?.contentWindow?.stop?.(); | |
} | |
function app() { | |
const storageKey = "SPACE_FACTORY_ACCESS_TOKEN" | |
return { | |
open: false, | |
promptDraft: | |
new URLSearchParams(window.location.search).get("prompt") || '', | |
prompt: "", | |
token: localStorage.getItem(storageKey) || "", | |
size: 0, | |
minPromptSize: 16, // if you change this, you will need to also change in src/index.mts | |
timeoutInSec: 15, // time before we determine something went wrong | |
state: "stopped", | |
lastTokenAt: +new Date(), | |
saveToken(token) { | |
localStorage.setItem(storageKey, token) | |
}, | |
init() { | |
setInterval(() => { | |
if (this.state === "stopped") { | |
this.lastTokenAt = +new Date(); | |
return; | |
} | |
const html = document?.getElementById("iframe")?.contentWindow?.document?.documentElement?.outerHTML; | |
const size = Number(html?.length); // count how many characters we have generated | |
if (isNaN(size) || !isFinite(size)) { | |
this.size = 0; | |
this.state = "loading"; | |
return; | |
} | |
this.state = "streaming"; | |
const now = +new Date(); | |
const newSize = new Blob([html]).size; | |
const hasChanged = newSize !== this.size; | |
if (hasChanged) { | |
this.lastTokenAt = now; | |
} | |
this.size = newSize; | |
const timeSinceLastUpdate = (now - this.lastTokenAt) / 1000; | |
if (timeSinceLastUpdate > this.timeoutInSec) { | |
console.log(`no changes detected for the past ${this.timeoutInSec} seconds -> considering we're done`); | |
this.state = "stopped"; | |
} | |
}, 100); | |
}, | |
}; | |
} | |
</script> | |
</body> | |
</html> | |