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README.md

@@ -1,14 +1,25 @@
 ---
 title: Maincoder 1B WebGPU
-emoji: 🌐
-colorFrom: blue
-colorTo: yellow
+emoji: ⚡
+colorFrom: green
+colorTo: blue
 sdk: static
-pinned: true
-app_build_command: npm run build
-short_description: Maincoder-1B-WebGPU Demo
-app_file: dist/index.html
+pinned: false
 license: apache-2.0
+short_description: Maincoder 1B code generation in browser via WebGPU
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Maincoder 1B — In-Browser Code Generation
+
+Run the [Maincoder 1B](https://huggingface.co/Maincode/Maincoder-1B) code generation model **entirely in your browser** using WebGPU — no server required.
+
+**Requirements:** A browser with WebGPU support (Chrome 113+, Edge 113+).
+
+Powered by [Transformers.js](https://huggingface.co/docs/transformers.js) and the [quantized ONNX model](https://huggingface.co/shreyask/Maincoder-1B-ONNX-web).
+
+## Development
+
+```bash
+npm install
+npm run dev
+```

assets/index-Co9424he.css

@@ -0,0 +1 @@
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assets/ort-wasm-simd-threaded.jsep-B0T3yYHD.wasm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c46655e8a94afc45338d4cb2b840475f88e5012d524509916e505079c00bfa39
+size 21596019

index.html

@@ -1,29 +1,17 @@
-<!DOCTYPE html>
+<!doctype html>
 <html lang="en">
-
-<head>
+  <head>
     <meta charset="UTF-8" />
-    <link rel="stylesheet" href="style.css" />
-
+    <link
+      rel="icon"
+      href="data:image/svg+xml,<svg xmlns=%22http://www.w3.org/2000/svg%22 viewBox=%220 0 100 100%22><text y=%22.9em%22 font-size=%2290%22>💻</text></svg>"
+    />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Transformers.js - Object Detection</title>
-</head>
-
-<body>
-    <h1>Object Detection w/ 🤗 Transformers.js</h1>
-    <label id="container" for="upload">
-        <svg width="25" height="25" viewBox="0 0 25 25" fill="none" xmlns="http://www.w3.org/2000/svg">
-            <path fill="#000"
-                d="M3.5 24.3a3 3 0 0 1-1.9-.8c-.5-.5-.8-1.2-.8-1.9V2.9c0-.7.3-1.3.8-1.9.6-.5 1.2-.7 2-.7h18.6c.7 0 1.3.2 1.9.7.5.6.7 1.2.7 2v18.6c0 .7-.2 1.4-.7 1.9a3 3 0 0 1-2 .8H3.6Zm0-2.7h18.7V2.9H3.5v18.7Zm2.7-2.7h13.3c.3 0 .5 0 .6-.3v-.7l-3.7-5a.6.6 0 0 0-.6-.2c-.2 0-.4 0-.5.3l-3.5 4.6-2.4-3.3a.6.6 0 0 0-.6-.3c-.2 0-.4.1-.5.3l-2.7 3.6c-.1.2-.2.4 0 .7.1.2.3.3.6.3Z">
-            </path>
-        </svg>
-        Click to upload image
-        <label id="example">(or try example)</label>
-    </label>
-    <label id="status">Loading model...</label>
-    <input id="upload" type="file" accept="image/*" />
-
-    <script src="index.js" type="module"></script>
-</body>
-
-</html>
+    <title>Maincoder 1B - In-Browser Code Generation</title>
+    <script type="module" crossorigin src="/assets/index-BP17AIvh.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-Co9424he.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
+</html>

index.js

@@ -1,76 +0,0 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.6';
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const fileUpload = document.getElementById('upload');
-const imageContainer = document.getElementById('container');
-const example = document.getElementById('example');
-
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
-
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
-
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
-
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
-
-    const reader = new FileReader();
-
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
-
-    reader.readAsDataURL(file);
-});
-
-
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
-
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
-}
-
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
-
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
-
-    // Draw the box
-    const boxElement = document.createElement('div');
-    boxElement.className = 'bounding-box';
-    Object.assign(boxElement.style, {
-        borderColor: color,
-        left: 100 * xmin + '%',
-        top: 100 * ymin + '%',
-        width: 100 * (xmax - xmin) + '%',
-        height: 100 * (ymax - ymin) + '%',
-    })
-
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
-
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
-}

package.json

@@ -0,0 +1,27 @@
+{
+  "name": "maincoder-webgpu",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc -b && vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "@huggingface/transformers": "^3.7.6",
+    "@tailwindcss/vite": "^4.1.11",
+    "highlight.js": "^11.11.1",
+    "lucide-react": "^0.535.0",
+    "react": "^19.1.0",
+    "react-dom": "^19.1.0",
+    "tailwindcss": "^4.1.11"
+  },
+  "devDependencies": {
+    "@types/react": "^19.1.8",
+    "@types/react-dom": "^19.1.6",
+    "@vitejs/plugin-react": "^4.6.0",
+    "typescript": "~5.8.3",
+    "vite": "^7.0.4"
+  }
+}

src/App.tsx

@@ -0,0 +1,218 @@
+import { useState, useRef, useEffect, useCallback } from "react";
+import { Send, RotateCcw, Zap } from "lucide-react";
+import { useLLM } from "./hooks/useLLM";
+import { LoadingScreen } from "./components/LoadingScreen";
+import { ChatMessage } from "./components/ChatMessage";
+
+interface Message {
+  role: "user" | "assistant";
+  content: string;
+}
+
+const SYSTEM_MESSAGE = {
+  role: "system",
+  content:
+    "You are Maincoder, an expert code generation assistant. Write clean, well-structured code. When responding with code, use markdown code blocks with the appropriate language identifier.",
+};
+
+const EXAMPLES = [
+  {
+    icon: "🐍",
+    text: "Binary search in Python",
+    message: "Write a binary search function in Python",
+  },
+  {
+    icon: "⚡",
+    text: "Fibonacci with memoization",
+    message: "Write a fibonacci function with memoization in JavaScript",
+  },
+];
+
+const App = () => {
+  const [messages, setMessages] = useState<Message[]>([]);
+  const [input, setInput] = useState("");
+  const [isGenerating, setIsGenerating] = useState(false);
+  const chatRef = useRef<HTMLDivElement>(null);
+  const inputRef = useRef<HTMLInputElement>(null);
+
+  const { isLoading, isReady, error, progress, loadModel, generateResponse, clearHistory } =
+    useLLM();
+
+  useEffect(() => {
+    if (chatRef.current) {
+      chatRef.current.scrollTop = chatRef.current.scrollHeight;
+    }
+  }, [messages]);
+
+  const clearChat = useCallback(() => {
+    setMessages([]);
+    clearHistory();
+  }, [clearHistory]);
+
+  const sendMessage = useCallback(
+    async (text: string) => {
+      if (!text.trim() || !isReady || isGenerating) return;
+
+      const userMessage: Message = { role: "user", content: text };
+      const currentMessages = [...messages, userMessage];
+      setMessages(currentMessages);
+      setInput("");
+      setIsGenerating(true);
+
+      try {
+        const messagesForModel = [
+          SYSTEM_MESSAGE,
+          ...currentMessages.map((m) => ({ role: m.role, content: m.content })),
+        ];
+
+        setMessages([...currentMessages, { role: "assistant", content: "" }]);
+
+        let accumulated = "";
+        const response = await generateResponse(
+          messagesForModel,
+          (token: string) => {
+            accumulated += token;
+            setMessages((prev) => {
+              const updated = [...prev];
+              updated[updated.length - 1] = {
+                role: "assistant",
+                content: accumulated,
+              };
+              return updated;
+            });
+          },
+        );
+
+        setMessages([
+          ...currentMessages,
+          { role: "assistant", content: response },
+        ]);
+      } catch (err) {
+        const errorMsg =
+          err instanceof Error ? err.message : "Generation failed";
+        setMessages([
+          ...currentMessages,
+          { role: "assistant", content: `Error: ${errorMsg}` },
+        ]);
+      } finally {
+        setIsGenerating(false);
+        setTimeout(() => inputRef.current?.focus(), 0);
+      }
+    },
+    [messages, isReady, isGenerating, generateResponse],
+  );
+
+  if (!isReady) {
+    return (
+      <LoadingScreen
+        isLoading={isLoading}
+        progress={progress}
+        error={error}
+        onLoad={loadModel}
+      />
+    );
+  }
+
+  return (
+    <div className="font-sans min-h-screen bg-gradient-to-br from-[#0a0f1a] via-[#0d1520] to-[#060a12] text-gray-100">
+      <div className="flex h-screen w-full py-6 px-4 md:py-10 md:px-8">
+        <div className="flex-1 flex flex-col p-6 bg-white/5 backdrop-blur-lg border border-white/10 rounded-3xl shadow-[0_35px_65px_rgba(0,0,0,0.5)] min-h-0">
+          {/* Header */}
+          <div className="flex items-center justify-between mb-6">
+            <div className="space-y-1">
+              <div className="flex items-center gap-2">
+                <Zap size={16} className="text-emerald-400" />
+                <span className="text-xs font-semibold uppercase tracking-[0.35em] text-emerald-400">
+                  WebGPU
+                </span>
+              </div>
+              <h1 className="text-2xl md:text-3xl font-bold text-white">
+                Maincoder <span className="text-emerald-400">1B</span>
+              </h1>
+            </div>
+            <button
+              disabled={isGenerating}
+              onClick={clearChat}
+              className={`h-10 flex items-center px-4 rounded-full font-semibold text-sm transition-all border ${
+                isGenerating
+                  ? "border-white/10 bg-white/5 text-gray-500 cursor-not-allowed"
+                  : "border-white/15 bg-white/8 text-gray-300 hover:border-emerald-500/40 hover:bg-emerald-500/10"
+              }`}
+            >
+              <RotateCcw size={14} className="mr-2" /> New Chat
+            </button>
+          </div>
+
+          {/* Chat Area */}
+          <div
+            ref={chatRef}
+            className="flex-grow bg-[#080d16]/80 border border-white/10 rounded-2xl p-6 overflow-y-auto mb-6 space-y-5 shadow-inner min-h-0"
+          >
+            {messages.length === 0 ? (
+              <div className="flex flex-col items-center justify-center h-full space-y-6">
+                <div className="text-center mb-4">
+                  <h2 className="text-2xl font-semibold text-white mb-1">
+                    What would you like to code?
+                  </h2>
+                  <p className="text-sm text-gray-400">
+                    Try an example or type your own prompt
+                  </p>
+                </div>
+                <div className="grid grid-cols-1 sm:grid-cols-2 gap-3 max-w-2xl w-full px-4">
+                  {EXAMPLES.map((example, i) => (
+                    <button
+                      key={i}
+                      onClick={() => sendMessage(example.message)}
+                      className="group relative overflow-hidden rounded-2xl border border-white/10 bg-white/5 text-left transition-all hover:-translate-y-0.5 hover:shadow-[0_20px_50px_rgba(16,185,129,0.15)]"
+                    >
+                      <span className="pointer-events-none absolute inset-0 bg-gradient-to-r from-emerald-500/15 via-transparent to-transparent opacity-0 transition-opacity group-hover:opacity-100" />
+                      <div className="relative flex items-center gap-3 px-4 py-3.5">
+                        <span className="flex size-10 flex-shrink-0 items-center justify-center rounded-full border border-emerald-500/20 bg-emerald-500/10 text-lg">
+                          {example.icon}
+                        </span>
+                        <span className="text-sm font-medium text-gray-200 group-hover:text-white transition-colors">
+                          {example.text}
+                        </span>
+                      </div>
+                    </button>
+                  ))}
+                </div>
+              </div>
+            ) : (
+              messages.map((msg, i) => (
+                <ChatMessage key={i} role={msg.role} content={msg.content} />
+              ))
+            )}
+          </div>
+
+          {/* Input */}
+          <div className="flex items-center gap-3">
+            <div className="flex flex-1 items-center bg-white/5 border border-white/10 rounded-2xl overflow-hidden shadow-[0_15px_45px_rgba(0,0,0,0.35)]">
+              <input
+                ref={inputRef}
+                type="text"
+                value={input}
+                onChange={(e) => setInput(e.target.value)}
+                onKeyDown={(e) =>
+                  e.key === "Enter" && !isGenerating && sendMessage(input)
+                }
+                disabled={isGenerating}
+                className="flex-grow bg-transparent px-5 py-3.5 text-base text-white placeholder:text-gray-500 focus:outline-none disabled:opacity-40"
+                placeholder="Ask Maincoder to write some code..."
+              />
+              <button
+                onClick={() => sendMessage(input)}
+                disabled={isGenerating || !input.trim()}
+                className="h-full px-5 py-3.5 bg-emerald-600 hover:bg-emerald-500 disabled:bg-emerald-600/30 disabled:cursor-not-allowed text-white font-semibold transition-all"
+              >
+                <Send size={20} />
+              </button>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default App;

src/components/ChatMessage.tsx

@@ -0,0 +1,129 @@
+import type React from "react";
+import { useState, useRef, useEffect } from "react";
+import { Copy, Check } from "lucide-react";
+import hljs from "highlight.js";
+import "highlight.js/styles/github-dark.css";
+
+interface CodeBlockProps {
+  language: string;
+  code: string;
+}
+
+const CodeBlock: React.FC<CodeBlockProps> = ({ language, code }) => {
+  const [copied, setCopied] = useState(false);
+  const codeRef = useRef<HTMLElement>(null);
+
+  useEffect(() => {
+    if (codeRef.current) {
+      codeRef.current.removeAttribute("data-highlighted");
+      hljs.highlightElement(codeRef.current);
+    }
+  }, [code, language]);
+
+  const handleCopy = async () => {
+    await navigator.clipboard.writeText(code);
+    setCopied(true);
+    setTimeout(() => setCopied(false), 2000);
+  };
+
+  return (
+    <div className="rounded-xl overflow-hidden border border-white/10 bg-[#0d1117] my-3">
+      <div className="flex items-center justify-between px-4 py-2 bg-white/5 border-b border-white/10">
+        <span className="text-xs font-mono text-gray-400">
+          {language || "code"}
+        </span>
+        <button
+          onClick={handleCopy}
+          className="flex items-center gap-1.5 text-xs text-gray-400 hover:text-white transition-colors"
+        >
+          {copied ? <Check size={14} /> : <Copy size={14} />}
+          {copied ? "Copied" : "Copy"}
+        </button>
+      </div>
+      <pre className="p-4 overflow-x-auto text-sm leading-relaxed !bg-[#0d1117]">
+        <code ref={codeRef} className={language ? `language-${language}` : ""}>
+          {code}
+        </code>
+      </pre>
+    </div>
+  );
+};
+
+function looksLikeCode(text: string): boolean {
+  const result = hljs.highlightAuto(text);
+  return result.relevance > 5;
+}
+
+function parseContent(text: string): React.ReactNode[] {
+  const parts: React.ReactNode[] = [];
+  const codeBlockRegex = /```(\w*)\n([\s\S]*?)```/g;
+  let lastIndex = 0;
+  let match;
+
+  while ((match = codeBlockRegex.exec(text)) !== null) {
+    if (match.index > lastIndex) {
+      const textBefore = text.slice(lastIndex, match.index);
+      parts.push(
+        <span key={`text-${lastIndex}`} className="whitespace-pre-wrap">
+          {textBefore}
+        </span>,
+      );
+    }
+
+    parts.push(
+      <CodeBlock
+        key={`code-${match.index}`}
+        language={match[1]}
+        code={match[2].trimEnd()}
+      />,
+    );
+
+    lastIndex = match.index + match[0].length;
+  }
+
+  if (lastIndex < text.length) {
+    const remaining = text.slice(lastIndex);
+    // If no code fences were found and the content looks like code, render as code block
+    if (lastIndex === 0 && remaining.trim().length > 0 && looksLikeCode(remaining)) {
+      const detected = hljs.highlightAuto(remaining);
+      parts.push(
+        <CodeBlock
+          key="code-auto"
+          language={detected.language || ""}
+          code={remaining.trimEnd()}
+        />,
+      );
+    } else {
+      parts.push(
+        <span key={`text-${lastIndex}`} className="whitespace-pre-wrap">
+          {remaining}
+        </span>,
+      );
+    }
+  }
+
+  return parts;
+}
+
+export const ChatMessage: React.FC<{
+  role: "user" | "assistant";
+  content: string;
+}> = ({ role, content }) => {
+  if (role === "user") {
+    return (
+      <div className="flex justify-end">
+        <div className="px-4 py-3 rounded-2xl max-w-lg bg-emerald-600/20 border border-emerald-500/30">
+          <p className="text-white whitespace-pre-wrap">{content}</p>
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="flex justify-start">
+      <div className="px-4 py-3 rounded-2xl max-w-2xl bg-white/5 border border-white/10">
+        <div className="text-gray-200">{parseContent(content)}</div>
+      </div>
+    </div>
+  );
+};

src/components/LoadingScreen.tsx

@@ -0,0 +1,199 @@
+import { useEffect, useRef } from "react";
+
+interface Dot {
+  x: number;
+  y: number;
+  vx: number;
+  vy: number;
+  radius: number;
+  opacity: number;
+}
+
+export const LoadingScreen = ({
+  isLoading,
+  progress,
+  error,
+  onLoad,
+}: {
+  isLoading: boolean;
+  progress: number;
+  error: string | null;
+  onLoad: () => void;
+}) => {
+  const canvasRef = useRef<HTMLCanvasElement>(null);
+
+  useEffect(() => {
+    const canvas = canvasRef.current;
+    if (!canvas) return;
+    const ctx = canvas.getContext("2d");
+    if (!ctx) return;
+
+    let animationFrameId: number;
+    let dots: Dot[] = [];
+
+    const setup = () => {
+      canvas.width = window.innerWidth;
+      canvas.height = window.innerHeight;
+      dots = [];
+      const numDots = Math.floor((canvas.width * canvas.height) / 22000);
+      for (let i = 0; i < numDots; ++i) {
+        dots.push({
+          x: Math.random() * canvas.width,
+          y: Math.random() * canvas.height,
+          vx: (Math.random() - 0.5) * 0.3,
+          vy: (Math.random() - 0.5) * 0.3,
+          radius: Math.random() * 1.5 + 0.5,
+          opacity: Math.random() * 0.4 + 0.15,
+        });
+      }
+    };
+
+    const draw = () => {
+      if (!ctx) return;
+      ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+      dots.forEach((dot) => {
+        dot.x += dot.vx;
+        dot.y += dot.vy;
+        if (dot.x <= 0 || dot.x >= canvas.width) dot.vx *= -1;
+        if (dot.y <= 0 || dot.y >= canvas.height) dot.vy *= -1;
+
+        ctx.beginPath();
+        ctx.arc(dot.x, dot.y, dot.radius, 0, Math.PI * 2);
+        ctx.fillStyle = `rgba(74, 222, 128, ${dot.opacity})`;
+        ctx.fill();
+      });
+
+      const maxDist = 120;
+      ctx.lineWidth = 0.5;
+      for (let i = 0; i < dots.length; i++) {
+        for (let j = i + 1; j < dots.length; j++) {
+          const dx = dots[i].x - dots[j].x;
+          const dy = dots[i].y - dots[j].y;
+          const distance = Math.sqrt(dx * dx + dy * dy);
+          if (distance < maxDist) {
+            const opacity = 1 - distance / maxDist;
+            ctx.strokeStyle = `rgba(74, 222, 128, ${opacity * 0.2})`;
+            ctx.beginPath();
+            ctx.moveTo(dots[i].x, dots[i].y);
+            ctx.lineTo(dots[j].x, dots[j].y);
+            ctx.stroke();
+          }
+        }
+      }
+
+      animationFrameId = requestAnimationFrame(draw);
+    };
+
+    const handleResize = () => {
+      cancelAnimationFrame(animationFrameId);
+      setup();
+      draw();
+    };
+
+    setup();
+    draw();
+    window.addEventListener("resize", handleResize);
+    return () => {
+      window.removeEventListener("resize", handleResize);
+      cancelAnimationFrame(animationFrameId);
+    };
+  }, []);
+
+  return (
+    <div className="relative flex flex-col items-center justify-center h-screen bg-gradient-to-br from-[#0a0f1a] via-[#0d1520] to-[#060a12] text-gray-100 p-8 overflow-hidden">
+      <canvas
+        ref={canvasRef}
+        className="absolute top-0 left-0 w-full h-full z-0"
+      />
+      <div className="absolute top-0 left-0 w-full h-full z-10 bg-[radial-gradient(ellipse_at_center,_rgba(10,15,26,0)_30%,_rgba(6,10,18,0.9)_95%)]" />
+
+      <div className="relative z-20 max-w-2xl w-full flex flex-col items-center bg-white/5 border border-white/10 backdrop-blur-xl rounded-3xl p-10 shadow-[0_35px_65px_rgba(0,0,0,0.5)] space-y-8">
+        <div className="flex flex-col items-center gap-3">
+          <div className="text-6xl">💻</div>
+          <h1 className="text-4xl md:text-5xl font-bold text-white tracking-tight">
+            Maincoder <span className="text-emerald-400">1B</span>
+          </h1>
+          <p className="text-lg text-emerald-300/80">
+            In-browser code generation, powered by WebGPU
+          </p>
+        </div>
+
+        <div className="w-full text-left text-gray-300 space-y-3 text-base">
+          <p>
+            Run{" "}
+            <a
+              href="https://huggingface.co/Maincode/Maincoder-1B-ONNX"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="text-emerald-400 hover:underline font-medium"
+            >
+              Maincoder-1B
+            </a>{" "}
+            entirely in your browser using{" "}
+            <a
+              href="https://huggingface.co/docs/transformers.js"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="text-emerald-400 hover:underline font-medium"
+            >
+              Transformers.js
+            </a>{" "}
+            and WebGPU. No server, no data leaves your device.
+          </p>
+          <p className="text-sm text-gray-400">
+            A 1B-parameter code generation model achieving 76.2% on HumanEval
+            (~600MB download, int4 quantized). Requires a WebGPU-capable browser
+            (Chrome 113+).
+          </p>
+        </div>
+
+        <div className="w-full max-w-md">
+          <button
+            onClick={isLoading ? undefined : onLoad}
+            disabled={isLoading}
+            className={`w-full flex items-center justify-center font-semibold transition-all text-lg rounded-2xl border ${
+              isLoading
+                ? "bg-white/5 text-gray-400 cursor-not-allowed border-white/10"
+                : "bg-emerald-600 hover:bg-emerald-500 text-white border-emerald-500/50 shadow-[0_15px_35px_rgba(16,185,129,0.25)]"
+            }`}
+          >
+            <div className="px-6 py-3.5">
+              {isLoading ? (
+                <div className="flex items-center">
+                  <span className="inline-block w-5 h-5 border-2 border-emerald-400/80 border-t-transparent rounded-full animate-spin" />
+                  <span className="ml-3 text-md font-medium text-emerald-300">
+                    Downloading model... ({progress}%)
+                  </span>
+                </div>
+              ) : (
+                "Load Maincoder-1B"
+              )}
+            </div>
+          </button>
+
+          {isLoading && (
+            <div className="mt-4 w-full bg-white/10 rounded-full h-2 overflow-hidden">
+              <div
+                className="h-full bg-gradient-to-r from-emerald-500 to-emerald-400 rounded-full transition-all duration-300"
+                style={{ width: `${progress}%` }}
+              />
+            </div>
+          )}
+        </div>
+
+        {error && (
+          <div className="bg-red-900/30 border border-red-500/40 rounded-2xl p-4 w-full text-center">
+            <p className="text-sm text-red-300">Error: {error}</p>
+            <button
+              onClick={onLoad}
+              className="mt-3 text-sm px-4 py-2 rounded-full bg-white/15 hover:bg-white/25 border border-white/20 text-white font-semibold transition-all"
+            >
+              Retry
+            </button>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+};

src/hooks/useLLM.ts

@@ -0,0 +1,179 @@
+import { useState, useRef, useCallback, useEffect } from "react";
+import {
+  AutoModelForCausalLM,
+  AutoTokenizer,
+  TextStreamer,
+} from "@huggingface/transformers";
+
+const MODEL_ID = "shreyask/Maincoder-1B-ONNX-web";
+
+interface LLMState {
+  isLoading: boolean;
+  isReady: boolean;
+  error: string | null;
+  progress: number;
+}
+
+interface LLMInstance {
+  model: any;
+  tokenizer: any;
+}
+
+let cachedInstance: LLMInstance | null = null;
+let loadingPromise: Promise<LLMInstance> | null = null;
+
+export const useLLM = () => {
+  const [state, setState] = useState<LLMState>({
+    isLoading: false,
+    isReady: false,
+    error: null,
+    progress: 0,
+  });
+
+  const instanceRef = useRef<LLMInstance | null>(null);
+  const pastKeyValuesRef = useRef<any>(null);
+
+  const loadModel = useCallback(async () => {
+    if (instanceRef.current || cachedInstance) {
+      const instance = instanceRef.current || cachedInstance;
+      instanceRef.current = instance;
+      cachedInstance = instance;
+      setState((prev) => ({ ...prev, isReady: true, isLoading: false }));
+      return instance;
+    }
+
+    if (loadingPromise) {
+      const instance = await loadingPromise;
+      instanceRef.current = instance;
+      cachedInstance = instance;
+      setState((prev) => ({ ...prev, isReady: true, isLoading: false }));
+      return instance;
+    }
+
+    setState((prev) => ({
+      ...prev,
+      isLoading: true,
+      error: null,
+      progress: 0,
+    }));
+
+    loadingPromise = (async () => {
+      try {
+        const progress_callback = (progress: any) => {
+          if (
+            progress.status === "progress" &&
+            (progress.file?.endsWith(".onnx") ||
+              progress.file?.endsWith(".onnx_data"))
+          ) {
+            const percentage = Math.round(
+              (progress.loaded / progress.total) * 100,
+            );
+            setState((prev) => ({ ...prev, progress: percentage }));
+          }
+        };
+
+        const tokenizer = await AutoTokenizer.from_pretrained(MODEL_ID, {
+          progress_callback,
+        });
+
+        const model = await AutoModelForCausalLM.from_pretrained(MODEL_ID, {
+          dtype: "q4",
+          device: "webgpu",
+          progress_callback,
+        });
+
+        const instance = { model, tokenizer };
+        instanceRef.current = instance;
+        cachedInstance = instance;
+        loadingPromise = null;
+
+        setState({
+          isLoading: false,
+          isReady: true,
+          error: null,
+          progress: 100,
+        });
+        return instance;
+      } catch (error) {
+        loadingPromise = null;
+        const message =
+          error instanceof Error ? error.message : "Failed to load model";
+        setState((prev) => ({
+          ...prev,
+          isLoading: false,
+          error: message,
+        }));
+        throw error;
+      }
+    })();
+
+    return loadingPromise;
+  }, []);
+
+  const generateResponse = useCallback(
+    async (
+      messages: Array<{ role: string; content: string }>,
+      onToken?: (token: string) => void,
+    ): Promise<string> => {
+      const instance = instanceRef.current;
+      if (!instance) {
+        throw new Error("Model not loaded. Call loadModel() first.");
+      }
+
+      const { model, tokenizer } = instance;
+
+      const input = tokenizer.apply_chat_template(messages, {
+        add_generation_prompt: true,
+        return_dict: true,
+      });
+
+      const streamer = onToken
+        ? new TextStreamer(tokenizer, {
+            skip_prompt: true,
+            skip_special_tokens: false,
+            callback_function: onToken,
+          })
+        : undefined;
+
+      const { sequences, past_key_values } = await model.generate({
+        ...input,
+        past_key_values: pastKeyValuesRef.current,
+        max_new_tokens: 1024,
+        do_sample: false,
+        repetition_penalty: 1.2,
+        eos_token_id: [151643, 151645], // <|endoftext|> and <|im_end|>
+        streamer,
+        return_dict_in_generate: true,
+      });
+      pastKeyValuesRef.current = past_key_values;
+
+      const response = tokenizer
+        .batch_decode(sequences.slice(null, [input.input_ids.dims[1], null]), {
+          skip_special_tokens: false,
+        })[0]
+        .replace(/<\|end_of_text\|>$/, "")
+        .replace(/<\|im_end\|>$/, "");
+
+      return response;
+    },
+    [],
+  );
+
+  const clearHistory = useCallback(() => {
+    pastKeyValuesRef.current = null;
+  }, []);
+
+  useEffect(() => {
+    if (cachedInstance) {
+      instanceRef.current = cachedInstance;
+      setState((prev) => ({ ...prev, isReady: true }));
+    }
+  }, []);
+
+  return {
+    ...state,
+    loadModel,
+    generateResponse,
+    clearHistory,
+  };
+};

src/index.css

@@ -0,0 +1 @@
+@import "tailwindcss";

src/main.tsx

@@ -0,0 +1,10 @@
+import { StrictMode } from "react";
+import { createRoot } from "react-dom/client";
+import "./index.css";
+import App from "./App.tsx";
+
+createRoot(document.getElementById("root")!).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+);

src/vite-env.d.ts

@@ -0,0 +1 @@
+/// <reference types="vite/client" />

style.css

@@ -1,76 +0,0 @@
-* {
-    box-sizing: border-box;
-    padding: 0;
-    margin: 0;
-    font-family: sans-serif;
-}
-
-html,
-body {
-    height: 100%;
-}
-
-body {
-    padding: 32px;
-}
-
-body,
-#container {
-    display: flex;
-    flex-direction: column;
-    justify-content: center;
-    align-items: center;
-}
-
-#container {
-    position: relative;
-    gap: 0.4rem;
-
-    width: 640px;
-    height: 640px;
-    max-width: 100%;
-    max-height: 100%;
-
-    border: 2px dashed #D1D5DB;
-    border-radius: 0.75rem;
-    overflow: hidden;
-    cursor: pointer;
-    margin: 1rem;
-
-    background-size: 100% 100%;
-    background-position: center;
-    background-repeat: no-repeat;
-    font-size: 18px;
-}
-
-#upload {
-    display: none;
-}
-
-svg {
-    pointer-events: none;
-}
-
-#example {
-    font-size: 14px;
-    text-decoration: underline;
-    cursor: pointer;
-}
-
-#example:hover {
-    color: #2563EB;
-}
-
-.bounding-box {
-    position: absolute;
-    box-sizing: border-box;
-    border: solid 2px;
-}
-
-.bounding-box-label {
-    color: white;
-    position: absolute;
-    font-size: 12px;
-    margin: -16px 0 0 -2px;
-    padding: 1px;
-}

tsconfig.app.json

@@ -0,0 +1,23 @@
+{
+  "compilerOptions": {
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
+    "target": "ES2022",
+    "useDefineForClassFields": true,
+    "lib": ["ES2022", "DOM", "DOM.Iterable"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "verbatimModuleSyntax": true,
+    "moduleDetection": "force",
+    "noEmit": true,
+    "jsx": "react-jsx",
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": true,
+    "erasableSyntaxOnly": true,
+    "noFallthroughCasesInSwitch": true,
+    "noUncheckedSideEffectImports": true
+  },
+  "include": ["src"]
+}

tsconfig.json

@@ -0,0 +1,7 @@
+{
+  "files": [],
+  "references": [
+    { "path": "./tsconfig.app.json" },
+    { "path": "./tsconfig.node.json" }
+  ]
+}

tsconfig.node.json

@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
+    "target": "ES2023",
+    "lib": ["ES2023"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "verbatimModuleSyntax": true,
+    "moduleDetection": "force",
+    "noEmit": true,
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": true,
+    "erasableSyntaxOnly": true,
+    "noFallthroughCasesInSwitch": true,
+    "noUncheckedSideEffectImports": true
+  },
+  "include": ["vite.config.ts"]
+}

vite.config.ts

@@ -0,0 +1,7 @@
+import { defineConfig } from "vite";
+import react from "@vitejs/plugin-react";
+import tailwindcss from "@tailwindcss/vite";
+
+export default defineConfig({
+  plugins: [react(), tailwindcss()],
+});