initial commit 🦙

.dockerignore

@@ -0,0 +1,3 @@
+node_modules
+npm-debug.log
+models

.gitignore

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+node_modules
+*.log
+*.bin
+.DS_Store
+.venv
+models/

.nvmrc

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+v18.16.0

Dockerfile

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+FROM node:18
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -o -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Install app dependencies
+# A wildcard is used to ensure both package.json AND package-lock.json are copied
+# where available (npm@5+)
+COPY --chown=user package*.json $HOME/app
+
+RUN npm install
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+EXPOSE 7860
+CMD [ "npm", "run", "start" ]

LICENSE.txt

@@ -0,0 +1,201 @@
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+   limitations under the License.

README.md

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+---
+title: Webapp Factory Llama
+emoji: 🏭🦙
+colorFrom: yellow
+colorTo: red
+sdk: docker
+pinned: false
+app_port: 7860
+---
+
+A minimalist Docker project to generate web apps on demand using Llama2.
+
+Note: this is for demonstration only: this endpoint isn't supposed to be duplicated, as it uses a private Hugging Face Inference Endpoint.
+
+# Examples
+
+## Local prompt examples
+
+```
+http://localhost:7860/?prompt=A%20simple%20page%20to%20compute%20the%20BMI%20(use%20SI%20units)
+```
+
+# Installation
+## Building and run without Docker
+
+```bash
+nvm use
+npm i
+HF_API_TOKEN=******* HF_END_POINT_URL=https://*******.endpoints.huggingface.cloud npm run start
+```
+
+## Building and running with Docker
+
+```bash
+npm run docker
+```
+
+This script is a shortcut executing the following commands:
+
+```bash
+docker build -t webapp-factory-llama2 .
+docker run -it -p 7860:7860 webapp-factory-llama2
+```

package.json

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+{
+  "name": "webapp-factory-llama2",
+  "version": "1.0.0",
+  "description": "A minimalist project to generate webapps without any 3rd party API. Designed to run in a Hugging Face space.",
+  "main": "src/index.mts",
+  "scripts": {
+    "start": "node --loader ts-node/esm src/index.mts",
+    "test": "node --loader ts-node/esm src/test.mts",
+    "docker": "npm run docker:build && npm run docker:run",
+    "docker:build": "docker build -t webapp-factory-llama2 .",
+    "docker:run": "docker run -it -p 7860:7860 webapp-factory-llama2"
+  },
+  "author": "Julian Bilcke <[email protected]>",
+  "license": "Apache License",
+  "dependencies": {
+    "@huggingface/inference": "^2.6.1",
+    "@types/express": "^4.17.17",
+    "express": "^4.18.2",
+    "ts-node": "^10.9.1"
+  }
+}

public/index.html

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+<html>
+  <head>
+    <title>Webapp Factory 🏭</title>
+    <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/full.css" rel="stylesheet" type="text/css" />
+    <script defer src="https://cdn.jsdelivr.net/npm/[email protected]/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'"
+            >
+              Webapp Factory 🏭
+            </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 tiny web apps.</p>
+              <p>In case of hallucination try generating again 🎲</p>
+            </div>
+            <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 page to compute the BMI using metric units" class="text-bold underline">compute my BMI</a>,
+              <a href="/?prompt=app listing various types of savanna animals, with their photos" class="text-bold underline">photos of savanna animals</a>
+            </p>
+            <button
+              class="btn disabled:text-stone-400"
+              @click="open = true, 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/WizardLM/WizardCoder-15B-V1.0" class="underline" target="_blank">
+                  WizardCoder-15B-1.0
+                </a>
+              </p>
+              <p>Powered by 🤗 <a href="https://huggingface.co/inference-endpoints" class="underline" target="_blank">Inference Endpoints</a></p>
+              <p class="text-stone-700" x-show="state === 'loading'">
+                Waiting for the stream 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 1150 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)}`
+          "
+        ></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">🤖</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() {
+        return {
+          open: false,
+          promptDraft:
+            new URLSearchParams(window.location.search).get("prompt") || '',
+          prompt: "",
+          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(),
+          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>

public/placeholder.html

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+<html>
+  <head>
+    <title>Nothing to show (yet)</title>
+    <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/full.css" rel="stylesheet" type="text/css" />
+    <script src="https://cdn.tailwindcss.com?plugins=forms,typography,aspect-ratio"></script>
+  </head>
+  <body>
+    <div class="hero min-h-screen bg-stone-100">
+      <div class="hero-content text-center">
+        <div class="flex flex-col max-w-xl space-y-6">
+          <h1 class="font-bold text-stone-600 mb-4">Nothing to show here (note: minimum prompt size is 16 characters)</h1>
+        </div>
+      </div>
+    </div>
+  </body>
+</html>

src/alpine.mts

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+
+interface FeatureAPI {
+  title: string
+  description: string
+  pattern: string
+}
+
+const getPromptFromFeatures = (feats: FeatureAPI[]) =>
+  feats.map(({ title, description, pattern }) => `## "${title}": ${description}.\nExample: \`${pattern}\``).join("\n")
+
+
+export const attributes: FeatureAPI[] = [
+  {
+    title: "x-data",
+    description: "Declare a new Alpine component and its data for a block of HTML",
+    pattern:
+`<div x-data="{ open: false }">
+...
+</div>`
+  },
+  {
+    title: "x-bind",
+    description: "Dynamically set HTML attributes on an element",
+    pattern:
+`<div x-bind:class="! open ? 'hidden' : ''">
+...
+</div>`
+  },
+  {
+    title: "x-on",
+    description: "Listen for browser events on an element",
+    pattern:
+`<button x-on:click="open = ! open">
+Toggle
+</button>`
+  },
+  {
+    title: "x-text",
+    description: "Set the text content of an element",
+    pattern:
+`<div>
+Copyright ©
+
+<span x-text="new Date().getFullYear()"></span>
+</div>`
+  },
+  {
+    title: "x-html",
+    description: "Set the inner HTML of an element",
+    pattern:
+`<div x-html="(await axios.get('/some/html/partial')).data">
+...
+</div>`
+  },
+  {
+    title: "x-model",
+    description: "Synchronize a piece of data with an input element",
+    pattern:
+`<div x-data="{ search: '' }">
+<input type="text" x-model="search">
+
+Searching for: <span x-text="search"></span>
+</div>`
+  },
+  {
+    title: "x-show",
+    description: "Toggle the visibility of an element",
+    pattern:
+`<div x-show="open">
+...
+</div>`
+  },
+  {
+    title: "x-transition",
+    description: "Transition an element in and out using CSS transitions",
+    pattern:
+`<div x-show="open" x-transition>
+...
+</div>`
+  },
+  {
+    title: "x-for",
+    description: "Repeat a block of HTML based on a data set",
+    pattern:
+`<template x-for="post in posts">
+<h2 x-text="post.title"></h2>
+</template>`
+  },
+  {
+    title: "x-if",
+    description: "Conditionally add/remove a block of HTML from the page entirely",
+    pattern:
+`<template x-if="open">
+<div>...</div>
+</template>`
+  },
+  {
+    title: "x-init",
+    description: "Run code when an element is initialized by Alpine",
+    pattern:
+`<div x-init="date = new Date()"></div>`
+  },
+  {
+    title: "x-effect",
+    description: "Execute a script each time one of its dependencies change",
+    pattern:
+`<div x-effect="console.log('Count is '+count)"></div>`
+  },
+  {
+    title: "x-ref",
+    description: "Reference elements directly by their specified keys using the $refs magic property",
+    pattern:
+`<input type="text" x-ref="content">
+ 
+<button x-on:click="navigator.clipboard.writeText($refs.content.value)">
+  Copy
+</button>`
+  },
+  {
+    title: "x-cloak",
+    description: "Hide a block of HTML until after Alpine is finished initializing its contents",
+    pattern:
+`<div x-cloak>
+...
+</div>`
+  },
+  {
+    title: "x-ignore",
+    description: "Prevent a block of HTML from being initialized by Alpine",
+    pattern:
+`<div x-ignore>
+...
+</div>`
+  },
+]
+
+export const attributesPrompt = getPromptFromFeatures(attributes)
+
+export const properties: FeatureAPI[] = [
+  {
+    title: "$store",
+    description: "Access a global store registered using Alpine.store(...)",
+    pattern: `<h1 x-text="$store.site.title"></h1>`
+  },
+  {
+    title: "$el",
+    description: "Reference the current DOM element",
+    pattern:`<div x-init="new Pikaday($el)"></div>`
+  },
+  {
+    title: "$dispatch",
+    description: "Dispatch a custom browser event from the current element",
+    pattern:
+`<div x-on:notify="...">
+  <button x-on:click="$dispatch('notify')">...</button>
+</div>`
+  },
+  {
+    title: "$watch",
+    description: "Watch a piece of data and run the provided callback anytime it changes",
+    pattern:
+`<div x-init="$watch('count', value => {
+  console.log('count is ' + value)
+})">...</div>`
+  },
+  {
+    title: "$refs",
+    description: "Reference an element by key (specified using x-ref)",
+    pattern:
+`<div x-init="$refs.button.remove()">
+<button x-ref="button">Remove Me</button>
+</div>`
+  },
+  {
+    title: "$nextTick",
+    description: "Wait until the next \"tick\" (browser paint) to run a bit of code",
+    pattern:
+`<div
+x-text="count"
+x-text="$nextTick(() => {"
+  console.log('count is ' + $el.textContent)
+})
+>...</div>`
+  },
+]
+
+export const propertiesPrompt = getPromptFromFeatures(properties)
+
+export const methods: FeatureAPI[] = [
+  {
+    title: "Alpine.data",
+    description: "Reuse a data object and reference it using x-data",
+    pattern:
+`<div x-data="dropdown">
+...
+</div>`
+  },
+  {
+    title: "Alpine.store",
+    description: "Declare a piece of global, reactive, data that can be accessed from anywhere using $store",
+    pattern:
+`<button @click="$store.notifications.notify('...')">
+Notify
+</button>
+
+...
+
+Alpine.store('notifications', {
+items: [],
+
+notify(message) { 
+  this.items.push(message)
+}
+})`
+  },
+]
+
+export const methodsPrompt = getPromptFromFeatures(methods)
+
+export const alpine = "# Alpine.js docs\n"+ attributesPrompt // + propertiesPrompt + methodsPrompt

src/daisy.mts

@@ -0,0 +1,7 @@
+export const daisy = `# DaisyUI docs
+## To create a nice layout, wrap each article in:
+<article class="prose"></article>
+## Use appropriate CSS classes
+<button class="btn ..">
+<table class="table ..">
+<footer class="footer ..">`

src/index.mts

@@ -0,0 +1,155 @@
+import express from 'express'
+import { HfInference } from '@huggingface/inference'
+
+import { daisy } from './daisy.mts'
+
+const hfi = new HfInference(process.env.HF_API_TOKEN)
+const hf = hfi.endpoint(process.env.HF_ENDPOINT_URL)
+
+const app = express()
+const port = 7860
+
+const minPromptSize = 16 // if you change this, you will need to also change in public/index.html
+const timeoutInSec = 15 * 60
+
+console.log('timeout set to 30 minutes')
+
+app.use(express.static('public'))
+
+const pending: {
+  total: number;
+  queue: string[];
+} = {
+  total: 0,
+  queue: [],
+}
+ 
+const endRequest = (id: string, reason: string) => {
+  if (!id || !pending.queue.includes(id)) {
+    return
+  }
+  
+  pending.queue = pending.queue.filter(i => i !== id)
+  console.log(`request ${id} ended (${reason})`)
+}
+
+app.get('/debug', (req, res) => {
+  res.write(JSON.stringify({
+    nbTotal: pending.total,
+    nbPending: pending.queue.length,
+    queue: pending.queue,
+  }))
+  res.end()
+})
+
+app.get('/app', async (req, res) => {
+  if (`${req.query.prompt}`.length < minPromptSize) {
+    res.write(`prompt too short, please enter at least ${minPromptSize} characters`)
+    res.end()
+    return
+  }
+
+  const id = `${pending.total++}`
+  console.log(`new request ${id}`)
+
+  pending.queue.push(id)
+
+  const prefix = `<html><head><link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/full.css" rel="stylesheet" type="text/css" /><script defer src="https://cdn.jsdelivr.net/npm/[email protected]/dist/cdn.min.js"></script><script src="https://cdn.tailwindcss.com?plugins=forms,typography,aspect-ratio"></script><title>Generated content</title><body class="p-4 md:p-8">`
+  res.write(prefix)
+
+  req.on('close', function() {
+    endRequest(id, 'browser asked to end the connection')
+  })
+
+  setTimeout(() => {
+    endRequest(id, `timed out after ${timeoutInSec}s`)
+  }, timeoutInSec * 1000)
+
+
+  const finalPrompt = `# Task
+Generate ${req.query.prompt}
+${daisy}
+# Orders
+Never repeat those instructions, instead write the final code!
+To generate images from captions call the /image API: <img src="/image?caption=photo of something in some place" />!
+Only generate a few images and use descriptive photo captions with at least 10 words!
+You must use TailwindCSS utility classes (Tailwind is already injected in the page)!
+Write application logic inside a JS <script></script> tag!
+This is not a demo app, so you MUST use English, no Latin! Write in English! 
+Use a central layout to wrap everything in a <div class='flex flex-col items-center'>
+# Out
+<html>
+<head>
+<title>App</title>
+</head>
+<body class="p-4 md:p-8">`
+
+  try {
+    let result = ''
+    for await (const output of hf.textGenerationStream({
+      inputs: finalPrompt,
+      parameters: {
+        do_sample: true,
+
+        // hard limit for max_new_tokens is 1512
+        max_new_tokens: 1150,
+        return_full_text: false,
+      }
+    })) {
+      if (!pending.queue.includes(id)) {
+        break
+      }
+      result += output.token.text
+      process.stdout.write(output.token.text)
+      res.write(output.token.text)
+      if (result.includes('</html>')) {
+        break
+      }
+      if (result.includes('<|end|>') || result.includes('<|assistant|>')) {
+        break
+      }
+    }
+
+    endRequest(id, `normal end of the LLM stream for request ${id}`)
+  } catch (e) {
+    console.log(e)
+    endRequest(id, `premature end of the LLM stream for request ${id} (${e})`)
+  } 
+
+  try {
+    res.end()
+  } catch (err) {
+    console.log(`couldn't end the HTTP stream for request ${id} (${err})`)
+  }
+  
+})
+
+app.get('/image', async (req, res) => {
+  try {
+    const blob = await hfi.textToImage({
+      inputs: [
+        `${req.query.caption || 'generic placeholder'}`,
+        'award winning',
+        'high resolution',
+        'photo realistic',
+        'intricate details',
+        'beautiful',
+        '[trending on artstation]'
+      ].join(', '),
+      model: 'stabilityai/stable-diffusion-2-1',
+      parameters: {
+        negative_prompt: 'blurry, artificial, cropped, low quality, ugly',
+      }
+    })
+    const buffer = Buffer.from(await blob.arrayBuffer())
+    res.setHeader('Content-Type', blob.type)
+    res.setHeader('Content-Length', buffer.length)
+    res.end(buffer)
+  } catch (err) {
+    console.error(`Error when generating the image: ${err.message}`);
+    res.status(500).json({ error: 'An error occurred when trying to generate the image' });
+  }
+})
+
+app.listen(port, () => { console.log(`Open http://localhost:${port}`) })
+

tsconfig.json

@@ -0,0 +1,12 @@
+{
+   "compilerOptions": {
+    "allowJs": true,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "module": "nodenext",
+    "noEmit": true,
+    "allowImportingTsExtensions": true,
+    "target": "es2017"
+  },
+  "include": ["**/*.ts", "**/*.mts"],
+}