Upload index.js with huggingface_hub

index.js

@@ -1,76 +1,217 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/[email protected]';
+class ChatbotApp {
+constructor() {
+this.generator = null;
+this.messages = [
+{ role: "system", content: "You are a helpful assistant. Be concise and friendly." }
+];
+this.isGenerating = false;
+this.init();
+}
+
+async init() {
+this.setupElements();
+this.setupEventListeners();
+await this.loadModel();
+}
 
-// 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');
+setupElements() {
+this.chatMessages = document.getElementById('chatMessages');
+this.messageInput = document.getElementById('messageInput');
+this.sendButton = document.getElementById('sendButton');
+this.status = document.getElementById('status');
+this.loadingIndicator = document.getElementById('loadingIndicator');
+this.progressFill = document.getElementById('progressFill');
+this.progressText = document.getElementById('progressText');
+this.charCount = document.getElementById('charCount');
+}
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+setupEventListeners() {
+// Send button click
+this.sendButton.addEventListener('click', () => this.sendMessage());
+
+// Enter key to send (Shift+Enter for new line)
+this.messageInput.addEventListener('keydown', (e) => {
+if (e.key === 'Enter' && !e.shiftKey) {
+e.preventDefault();
+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';
+// Character count
+this.messageInput.addEventListener('input', () => {
+const length = this.messageInput.value.length;
+this.charCount.textContent = `${length} / 1000`;
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
+// Auto-resize textarea
+this.messageInput.style.height = 'auto';
+this.messageInput.style.height = Math.min(this.messageInput.scrollHeight, 120) + 'px';
 });
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+// Initialize worker
+this.setupWorker();
+}
+
+setupWorker() {
+// Create worker from separate file
+this.worker = new Worker('worker.js');
+
+this.worker.addEventListener('message', (e) => {
+switch(e.data.type) {
+case 'progress':
+this.updateProgress(e.data.progress);
+break;
+case 'modelLoaded':
+this.onModelLoaded(e.data.generator);
+break;
+case 'error':
+this.onError(e.data.error);
+break;
+}
+});
+}
+
+async loadModel() {
+this.status.textContent = 'Downloading model...';
+this.loadingIndicator.classList.remove('hidden');
+this.worker.postMessage({ type: 'loadModel' });
+}
 
-    const reader = new FileReader();
+updateProgress(progress) {
+this.progressFill.style.width = `${progress}%`;
+this.progressText.textContent = `${Math.round(progress)}%`;
+}
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+onModelLoaded(generator) {
+this.generator = generator;
+this.loadingIndicator.classList.add('hidden');
+this.status.textContent = 'Ready';
+this.messageInput.disabled = false;
+this.sendButton.disabled = false;
+this.messageInput.focus();
+}
 
-    reader.readAsDataURL(file);
+onError(error) {
+this.loadingIndicator.classList.add('hidden');
+this.status.textContent = 'Error loading model';
+this.addMessage('system', `Error: ${error}. Please refresh the page to try again.`);
+}
+
+async sendMessage() {
+const message = this.messageInput.value.trim();
+if (!message || this.isGenerating || !this.generator) return;
+
+// Add user message
+this.addMessage('user', message);
+this.messages.push({ role: "user", content: message });
+
+// Clear input
+this.messageInput.value = '';
+this.messageInput.style.height = 'auto';
+this.charCount.textContent = '0 / 1000';
+
+// Disable input
+this.isGenerating = true;
+this.messageInput.disabled = true;
+this.sendButton.disabled = true;
+this.status.textContent = 'Thinking...';
+
+// Add AI message with typing indicator
+const aiMessageId = this.addMessage('ai', '', true);
+
+try {
+// Generate response with streaming
+const streamer = new transformers.TextStreamer(this.generator.tokenizer, {
+skip_prompt: true,
+skip_special_tokens: true,
+callback_function: (text) => {
+this.updateMessage(aiMessageId, text);
+}
 });
 
+const output = await this.generator(this.messages, {
+max_new_tokens: 512,
+do_sample: false,
+streamer: streamer,
+});
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+// Add the AI response to messages
+const aiResponse = output[0].generated_text.at(-1).content;
+this.messages.push({ role: "assistant", content: aiResponse });
+
+} catch (error) {
+this.updateMessage(aiMessageId, 'Sorry, I encountered an error. Please try again.');
+console.error('Generation error:', error);
+} finally {
+// Re-enable input
+this.isGenerating = false;
+this.messageInput.disabled = false;
+this.sendButton.disabled = false;
+this.status.textContent = 'Ready';
+this.messageInput.focus();
+}
+}
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+addMessage(role, content, isTyping = false) {
+const messageId = 'msg-' + Date.now();
+const messageDiv = document.createElement('div');
+messageDiv.className = `message ${role}`;
+messageDiv.id = messageId;
+
+const avatar = document.createElement('div');
+avatar.className = role === 'user' ? 'user-avatar' : 'ai-avatar';
+avatar.innerHTML = role === 'user'
+? '<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+  <path d="M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2"></path>
+  <circle cx="12" cy="7" r="4"></circle>
+</svg>'
+: '<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+  <path d="M12 2L2 7v10c0 5.55 3.84 10.74 9 12 5.16-1.26 9-6.45 9-12V7l-10-5z" />
+  <path d="M12 8v4" />
+  <circle cx="12" cy="16" r="1" />
+</svg>';
+
+const messageContent = document.createElement('div');
+messageContent.className = 'message-content';
+
+const bubble = document.createElement('div');
+bubble.className = 'message-bubble';
+
+if (isTyping) {
+bubble.innerHTML = '<div class="typing-indicator">
+  <div class="typing-dot"></div>
+  <div class="typing-dot"></div>
+  <div class="typing-dot"></div>
+</div>';
+} else {
+bubble.textContent = content;
 }
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
+const time = document.createElement('div');
+time.className = 'message-time';
+time.textContent = new Date().toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit' });
 
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
+messageContent.appendChild(bubble);
+messageContent.appendChild(time);
+messageDiv.appendChild(avatar);
+messageDiv.appendChild(messageContent);
 
-    // 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.chatMessages.appendChild(messageDiv);
+this.chatMessages.scrollTop = this.chatMessages.scrollHeight;
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+return messageId;
+}
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
+updateMessage(messageId, content) {
+const messageElement = document.getElementById(messageId);
+if (messageElement) {
+const bubble = messageElement.querySelector('.message-bubble');
+bubble.textContent = content;
+this.chatMessages.scrollTop = this.chatMessages.scrollHeight;
 }
+}
+}
+
+// Initialize the app when DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
+new ChatbotApp();
+});