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index.js

@@ -1,76 +1,233 @@
-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';
 
-// Reference the elements that we will need
+// DOM Elements
+const messagesContainer = document.getElementById('messages');
+const userInput = document.getElementById('userInput');
+const sendBtn = document.getElementById('sendBtn');
 const status = document.getElementById('status');
-const fileUpload = document.getElementById('upload');
-const imageContainer = document.getElementById('container');
-const example = document.getElementById('example');
+const loadingOverlay = document.getElementById('loadingOverlay');
+const loadingText = document.getElementById('loadingText');
+const progressFill = document.getElementById('progressFill');
+const progressText = document.getElementById('progressText');
+
+// State
+let generator = null;
+let conversationHistory = [
+{ role: "system", content: "You are a helpful, friendly, and knowledgeable AI assistant. Provide clear, concise, and
+accurate responses." }
+];
+let isGenerating = false;
+
+// Initialize the application
+async function initializeApp() {
+try {
+updateLoadingStatus('Loading AI model...', 0);
+
+// Create a text generation pipeline with progress callback
+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);
+updateLoadingStatus(`Loading ${progress.file}...`, percent);
+} else if (progress.status === 'done') {
+updateLoadingStatus('Initializing model...', 95);
+}
+}
+}
+);
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+updateLoadingStatus('Ready!', 100);
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
+// Hide loading overlay after a short delay
+setTimeout(() => {
+loadingOverlay.classList.add('hidden');
+enableChat();
+}, 500);
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
+} catch (error) {
+console.error('Error initializing model:', error);
+updateLoadingStatus('Error loading model. Please refresh the page.', 0);
+status.textContent = 'Failed to load AI model. Please refresh.';
+status.style.color = '#FF3B30';
+}
+}
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+function updateLoadingStatus(text, percent) {
+loadingText.textContent = text;
+progressFill.style.width = `${percent}%`;
+progressText.textContent = `${percent}%`;
+}
+
+function enableChat() {
+userInput.disabled = false;
+sendBtn.disabled = false;
+status.textContent = 'Ready to chat';
+userInput.focus();
+}
+
+function addMessage(role, content) {
+// Remove welcome message if it exists
+const welcomeMessage = messagesContainer.querySelector('.welcome-message');
+if (welcomeMessage) {
+welcomeMessage.remove();
+}
 
-    const reader = new FileReader();
+const messageDiv = document.createElement('div');
+messageDiv.className = `message ${role}`;
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+const contentDiv = document.createElement('div');
+contentDiv.className = 'message-content';
+contentDiv.textContent = content;
 
-    reader.readAsDataURL(file);
+messageDiv.appendChild(contentDiv);
+messagesContainer.appendChild(messageDiv);
+
+// Scroll to bottom
+messagesContainer.scrollTop = messagesContainer.scrollHeight;
+
+return contentDiv;
+}
+
+function addTypingIndicator() {
+const messageDiv = document.createElement('div');
+messageDiv.className = 'message assistant';
+messageDiv.id = 'typing-indicator';
+
+const contentDiv = document.createElement('div');
+contentDiv.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>
+`;
+
+contentDiv.appendChild(typingDiv);
+messageDiv.appendChild(contentDiv);
+messagesContainer.appendChild(messageDiv);
+
+messagesContainer.scrollTop = messagesContainer.scrollHeight;
+
+return messageDiv;
+}
+
+function removeTypingIndicator() {
+const indicator = document.getElementById('typing-indicator');
+if (indicator) {
+indicator.remove();
+}
+}
+
+async function generateResponse(userMessage) {
+if (isGenerating) return;
+
+isGenerating = true;
+sendBtn.disabled = true;
+userInput.disabled = true;
+status.textContent = 'Thinking...';
+
+// Add user message to conversation history
+conversationHistory.push({ role: "user", content: userMessage });
+
+// Show typing indicator
+const typingIndicator = addTypingIndicator();
+
+try {
+let assistantMessage = '';
+let messageElement = null;
+
+// Create a custom streamer with callback
+const streamer = new TextStreamer(generator.tokenizer, {
+skip_prompt: true,
+skip_special_tokens: true,
+callback_function: (text) => {
+// Remove typing indicator on first token
+if (!messageElement) {
+removeTypingIndicator();
+messageElement = addMessage('assistant', '');
+}
+
+// Append the new text
+assistantMessage += text;
+messageElement.textContent = assistantMessage;
+
+// Scroll to bottom
+messagesContainer.scrollTop = messagesContainer.scrollHeight;
+}
+});
+
+// Generate response with streaming
+const output = await generator(conversationHistory, {
+max_new_tokens: 512,
+do_sample: false,
+temperature: 0.7,
+streamer: streamer,
 });
 
+// Get the final response
+const finalResponse = output[0].generated_text.at(-1).content;
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+// Update conversation history
+conversationHistory.push({ role: "assistant", content: finalResponse });
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+// Ensure the final message is displayed
+if (messageElement) {
+messageElement.textContent = finalResponse;
 }
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
+status.textContent = 'Ready to chat';
+
+} catch (error) {
+console.error('Error generating response:', error);
+removeTypingIndicator();
+addMessage('assistant', 'Sorry, I encountered an error. Please try again.');
+status.textContent = 'Error occurred';
+} finally {
+isGenerating = false;
+sendBtn.disabled = false;
+userInput.disabled = false;
+userInput.focus();
+}
+}
+
+function handleSend() {
+const message = userInput.value.trim();
+
+if (!message || isGenerating) return;
+
+// Add user message to UI
+addMessage('user', message);
 
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
+// Clear input
+userInput.value = '';
+userInput.style.height = 'auto';
 
-    // 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) + '%',
-    })
+// Generate response
+generateResponse(message);
+}
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+// Event Listeners
+sendBtn.addEventListener('click', handleSend);
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
+userInput.addEventListener('keydown', (e) => {
+if (e.key === 'Enter' && !e.shiftKey) {
+e.preventDefault();
+handleSend();
 }
+});
+
+// Auto-resize textarea
+userInput.addEventListener('input', () => {
+userInput.style.height = 'auto';
+userInput.style.height = userInput.scrollHeight + 'px';
+});
+
+// Initialize the app
+initializeApp();