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index.js

@@ -1,76 +1,255 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.6';
+import { pipeline, TextStreamer } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.8.0';
+
+class ChatApp {
+constructor() {
+this.generator = null;
+this.messages = [
+{ role: "system", content: "You are a helpful, friendly AI assistant. Provide clear, concise, and accurate responses." }
+];
+this.isGenerating = false;
+
+this.elements = {
+loadingScreen: document.getElementById('loadingScreen'),
+chatMessages: document.getElementById('chatMessages'),
+messageInput: document.getElementById('messageInput'),
+sendButton: document.getElementById('sendButton'),
+progressBar: document.getElementById('progressFill'),
+progressText: document.getElementById('progressText')
+};
+
+this.init();
+}
+
+async init() {
+try {
+await this.loadModel();
+this.setupEventListeners();
+this.hideLoading();
+this.addWelcomeMessage();
+} catch (error) {
+console.error('Initialization error:', error);
+this.showError('Failed to initialize the AI model. Please refresh the page.');
+}
+}
+
+async loadModel() {
+try {
+this.updateProgress(0, 'Loading model...');
+
+// Create a text generation pipeline with progress tracking
+this.generator = await pipeline(
+"text-generation",
+"onnx-community/Llama-3.2-1B-Instruct-q4f16",
+{
+dtype: "q4f16",
+device: "webgpu",
+progress_callback: (progress) => {
+if (progress.status === 'progress') {
+const percent = Math.round((progress.loaded / progress.total) * 100);
+this.updateProgress(percent, `Downloading model: ${progress.file}`);
+} else if (progress.status === 'done') {
+this.updateProgress(100, 'Model loaded successfully!');
+}
+}
+}
+);
+
+console.log('Model loaded successfully!');
+} catch (error) {
+console.error('Model loading error:', error);
+throw error;
+}
+}
+
+updateProgress(percent, text) {
+this.elements.progressBar.style.width = `${percent}%`;
+this.elements.progressText.textContent = `${percent}%`;
+
+const loadingText = document.querySelector('.loading-text');
+if (loadingText) {
+loadingText.textContent = text;
+}
+}
 
-// 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');
+hideLoading() {
+this.elements.loadingScreen.classList.add('hidden');
+this.elements.messageInput.disabled = false;
+this.elements.sendButton.disabled = false;
+this.elements.messageInput.focus();
+}
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+setupEventListeners() {
+this.elements.sendButton.addEventListener('click', () => this.sendMessage());
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
+this.elements.messageInput.addEventListener('keydown', (e) => {
+if (e.key === 'Enter' && !e.shiftKey) {
+e.preventDefault();
+this.sendMessage();
+}
+});
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
+// Auto-resize textarea
+this.elements.messageInput.addEventListener('input', () => {
+this.elements.messageInput.style.height = 'auto';
+this.elements.messageInput.style.height = this.elements.messageInput.scrollHeight + 'px';
 });
+}
+
+addWelcomeMessage() {
+const welcomeMessage = {
+role: 'assistant',
+content: "Hello! I'm your AI assistant. How can I help you today? Feel free to ask me anything!" + "};
+this.addMessageToChat(welcomeMessage);
+}
+
+async sendMessage() {
+const userMessage = this.elements.messageInput.value.trim();
+
+if (!userMessage || this.isGenerating) return;
+
+// Add user message to chat
+const userMsg = { role: 'user', content: userMessage };
+this.messages.push(userMsg);
+this.addMessageToChat(userMsg);
+
+// Clear input
+this.elements.messageInput.value = '';
+this.elements.messageInput.style.height = 'auto';
+
+// Disable input while generating
+this.isGenerating = true;
+this.elements.messageInput.disabled = true;
+this.elements.sendButton.disabled = true;
+
+// Show typing indicator
+const typingIndicator = this.addTypingIndicator();
+
+try {
+// Generate response with streaming
+let fullResponse = '';
+let assistantMessageElement = null;
+
+const streamer = new TextStreamer(this.generator.tokenizer, {
+skip_prompt: true,
+skip_special_tokens: true,
+callback_function: (text) => {
+fullResponse += text;
+
+// Remove typing indicator on first token
+if (!assistantMessageElement) {
+typingIndicator.remove();
+assistantMessageElement = this.addMessageToChat({
+role: 'assistant',
+content: ''
+}, true);
+}
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+// Update the message content
+const contentElement = assistantMessageElement.querySelector('.message-content');
+if (contentElement) {
+contentElement.textContent = fullResponse;
+this.scrollToBottom();
+}
+}
+});
 
-    const reader = new FileReader();
+const output = await this.generator(this.messages, {
+max_new_tokens: 512,
+do_sample: false,
+streamer: streamer,
+});
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+// Add final response to messages history
+const assistantResponse = output[0].generated_text.at(-1).content;
+this.messages.push({ role: 'assistant', content: assistantResponse });
 
-    reader.readAsDataURL(file);
+} catch (error) {
+console.error('Generation error:', error);
+typingIndicator.remove();
+this.addMessageToChat({
+role: 'assistant',
+content: 'Sorry, I encountered an error. Please try again.'
 });
+} finally {
+this.isGenerating = false;
+this.elements.messageInput.disabled = false;
+this.elements.sendButton.disabled = false;
+this.elements.messageInput.focus();
+}
+}
+
+addMessageToChat(message, isStreaming = false) {
+const messageDiv = document.createElement('div');
+messageDiv.className = `message ${message.role}`;
 
+const avatar = document.createElement('div');
+avatar.className = 'message-avatar';
+avatar.textContent = message.role === 'user' ? 'U' : 'AI';
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+const content = document.createElement('div');
+content.className = 'message-content';
+content.textContent = message.content;
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+messageDiv.appendChild(avatar);
+messageDiv.appendChild(content);
+
+this.elements.chatMessages.appendChild(messageDiv);
+this.scrollToBottom();
+
+return messageDiv;
 }
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
+addTypingIndicator() {
+const messageDiv = document.createElement('div');
+messageDiv.className = 'message assistant';
+messageDiv.id = 'typing-indicator';
+
+const avatar = document.createElement('div');
+avatar.className = 'message-avatar';
+avatar.textContent = 'AI';
+
+const content = document.createElement('div');
+content.className = 'message-content';
+
+const typingDiv = document.createElement('div');
+typingDiv.className = 'typing-indicator';
+typingDiv.innerHTML = '<div class="typing-dot"></div>
+<div class="typing-dot"></div>
+<div class="typing-dot"></div>';
 
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
+content.appendChild(typingDiv);
+messageDiv.appendChild(avatar);
+messageDiv.appendChild(content);
 
-    // 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) + '%',
-    })
+this.elements.chatMessages.appendChild(messageDiv);
+this.scrollToBottom();
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+return messageDiv;
+}
+
+scrollToBottom() {
+this.elements.chatMessages.scrollTop = this.elements.chatMessages.scrollHeight;
+}
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
+showError(message) {
+const errorDiv = document.createElement('div');
+errorDiv.style.cssText = `
+position: fixed;
+top: 20px;
+right: 20px;
+background: #ff3b30;
+color: white;
+padding: 16px 24px;
+border-radius: 12px;
+box-shadow: 0 4px 12px rgba(0,0,0,0.15);
+z-index: 2000;
+`;
+errorDiv.textContent = message;
+document.body.appendChild(errorDiv);
+
+setTimeout(() => errorDiv.remove(), 5000);
 }
+}
+
+// Initialize the app
+new ChatApp();