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cc1f4f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI Chat Canvas - Powered by Transformers.js</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<div class="app-container">
<!-- Header -->
<header class="app-header">
<div class="header-content">
<div class="logo-area">
<svg class="logo-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<path d="M12 2a10 10 0 1 0 10 10A10 10 0 0 0 12 2zm0 18a8 8 0 1 1 8-8 8 8 0 0 1-8 8z"/>
<path d="M12 6v6l4 2"/>
</svg>
<h1>AI Chat Canvas</h1>
</div>
<a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" class="attribution-link">
Built with anycoder
</a>
</div>
<!-- Model Status -->
<div class="model-status" id="model-status">
<span class="status-dot"></span>
<span class="status-text">Initializing...</span>
</div>
</header>
<!-- Main Content -->
<main class="main-content">
<!-- Chat Messages -->
<div class="chat-container" id="chat-container">
<div class="welcome-screen" id="welcome-screen">
<div class="welcome-icon">🤖</div>
<h2>Welcome to AI Chat Canvas</h2>
<p>This is a browser-based chat application running entirely on your device using transformers.js.</p>
<div class="example-prompts">
<p class="example-label">Try asking:</p>
<button class="example-btn" data-prompt="Explain quantum computing in simple terms">What is quantum computing?</button>
<button class="example-btn" data-prompt="Write a Python function to sort a list">Help me write Python code</button>
<button class="example-btn" data-prompt="What are the benefits of remote work?">Discuss remote work benefits</button>
</div>
</div>
<div class="messages-list" id="messages-list"></div>
<!-- Loading Indicator -->
<div class="loading-indicator hidden" id="loading-indicator">
<div class="spinner"></div>
<div class="loading-text">
<span class="loading-dot"></span>
<span class="loading-dot"></span>
<span class="loading-dot"></span>
</div>
<p id="loading-message">Loading model...</p>
<div class="progress-bar" id="progress-bar">
<div class="progress-fill" id="progress-fill"></div>
</div>
</div>
</div>
</main>
<!-- Input Area -->
<footer class="input-area">
<div class="input-wrapper">
<textarea
id="user-input"
placeholder="Type your message here... (Shift+Enter for new line)"
rows="1"
></textarea>
<button id="send-btn" class="send-btn" disabled>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
<line x1="22" y1="2" x2="11" y2="13"></line>
<polygon points="22 2 15 22 11 13 2 9 22 2"></polygon>
</svg>
</button>
</div>
<div class="disclaimer">
<p>AI responses may be inaccurate. Please verify important information.</p>
</div>
</footer>
</div>
<script type="module">
// ============================================
// WORKER CODE (Inline for single-file deployment)
// ============================================
const workerScript = `
import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.8.0';
// Configure environment
env.allowLocalModels = false;
env.useBrowserCache = true;
let generator = null;
let currentAbortController = null;
self.onmessage = async (e) => {
const { type, payload } = e.data;
if (type === 'load') {
currentAbortController = new AbortController();
try {
self.postMessage({
type: 'loading',
progress: 0,
message: 'Initializing model...'
});
// Load text generation pipeline
generator = await pipeline('text-generation', payload.model, {
progress_callback: (data) => {
if (data.status === 'progress') {
self.postMessage({
type: 'progress',
progress: data.progress,
message: data.file ? \`Downloading: \${data.file}\` : 'Loading model...'
});
} else if (data.status === 'progress-queue') {
self.postMessage({
type: 'progress',
progress: 0,
message: \`Queued: \${data.file}\`
});
}
},
signal: currentAbortController.signal
});
self.postMessage({ type: 'loaded' });
} catch (error) {
if (error.name === 'AbortError') {
self.postMessage({ type: 'cancelled' });
} else {
self.postMessage({ type: 'error', error: error.message });
}
}
}
if (type === 'generate') {
currentAbortController = new AbortController();
try {
// Clear previous abort controller
if (generator) {
const result = await generator(payload.prompt, {
max_new_tokens: payload.maxTokens || 512,
temperature: payload.temperature || 0.7,
top_p: payload.topP || 0.9,
do_sample: payload.doSample !== false,
return_full_text: false,
repetition_penalty: payload.repetitionPenalty || 1.1,
signal: currentAbortController.signal
});
self.postMessage({
type: 'result',
result: result[0].generated_text
});
}
} catch (error) {
if (error.name === 'AbortError') {
self.postMessage({ type: 'cancelled' });
} else {
self.postMessage({ type: 'error', error: error.message });
}
}
}
if (type === 'stop') {
if (currentAbortController) {
currentAbortController.abort();
}
}
};
`;
// Create worker from inline script
const blob = new Blob([workerScript], { type: 'application/javascript' });
const worker = new Worker(URL.createObjectURL(blob));
</script>
<script type="module" src="index.js"></script>
</body>
</html> |