Upload index.js with huggingface_hub

index.js

@@ -1,76 +1,243 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.6';
+class AppleChatbot {
+constructor() {
+this.generator = null;
+this.messages = [];
+this.isGenerating = false;
+this.messageHistory = [
+{ role: "system", content: "You are a helpful assistant. Be concise, friendly, and helpful in your responses." }
+];
+
+this.initElements();
+this.initEventListeners();
+this.initWorker();
+}
+
+initElements() {
+this.elements = {
+messagesContainer: document.getElementById('messages'),
+messageInput: document.getElementById('message-input'),
+sendButton: document.getElementById('send-button'),
+clearButton: document.getElementById('clear-chat'),
+loadingOverlay: document.getElementById('loading-overlay'),
+modelStatus: document.getElementById('model-status'),
+loadingProgress: document.getElementById('loading-progress'),
+progressFill: document.getElementById('progress-fill'),
+typingIndicator: document.getElementById('typing-indicator'),
+welcomeMessage: document.querySelector('.welcome-message'),
+promptChips: document.querySelectorAll('.prompt-chip')
+};
+}
 
-// 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');
+initEventListeners() {
+// Send message on Enter (Shift+Enter for new line)
+this.elements.messageInput.addEventListener('keydown', (e) => {
+if (e.key === 'Enter' && !e.shiftKey) {
+e.preventDefault();
+this.sendMessage();
+}
+});
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+// Auto-resize textarea
+this.elements.messageInput.addEventListener('input', () => {
+this.elements.messageInput.style.height = 'auto';
+this.elements.messageInput.style.height = this.elements.messageInput.scrollHeight + 'px';
+});
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
+// Send button click
+this.elements.sendButton.addEventListener('click', () => this.sendMessage());
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
+// Clear chat button
+this.elements.clearButton.addEventListener('click', () => this.clearChat());
+
+// Prompt chips
+this.elements.promptChips.forEach(chip => {
+chip.addEventListener('click', () => {
+const prompt = chip.getAttribute('data-prompt');
+this.elements.messageInput.value = prompt;
+this.elements.messageInput.style.height = 'auto';
+this.elements.messageInput.style.height = this.elements.messageInput.scrollHeight + 'px';
+this.elements.messageInput.focus();
+});
 });
+}
+
+initWorker() {
+this.worker = new Worker('worker.js');
+
+this.worker.onmessage = (e) => {
+const { type, data } = e.data;
+
+switch(type) {
+case 'progress':
+this.updateProgress(data);
+break;
+case 'model-loaded':
+this.onModelLoaded(data);
+break;
+case 'error':
+this.onError(data);
+break;
+}
+};
+}
+
+updateProgress(data) {
+const { loaded, total, status } = data;
+const progress = total > 0 ? (loaded / total) * 100 : 0;
+
+this.elements.loadingProgress.textContent = status;
+this.elements.progressFill.style.width = `${progress}%`;
+}
+
+onModelLoaded(data) {
+this.generator = data.generator;
+this.elements.loadingOverlay.classList.add('hidden');
+this.elements.modelStatus.textContent = 'Gemma 270M - Ready';
+this.elements.messageInput.disabled = false;
+this.elements.sendButton.disabled = false;
+this.elements.messageInput.focus();
+}
+
+onError(error) {
+console.error('Error:', error);
+this.elements.loadingProgress.textContent = 'Error loading model. Please refresh the page.';
+this.elements.modelStatus.textContent = 'Error loading model';
+}
+
+async sendMessage() {
+const message = this.elements.messageInput.value.trim();
+if (!message || this.isGenerating) return;
+
+// Hide welcome message on first message
+if (this.elements.welcomeMessage) {
+this.elements.welcomeMessage.style.display = 'none';
+}
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+// Add user message
+this.addMessage(message, 'user');
+this.messageHistory.push({ role: "user", content: message });
 
-    const reader = new FileReader();
+// Clear input
+this.elements.messageInput.value = '';
+this.elements.messageInput.style.height = 'auto';
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+// Show typing indicator
+this.showTypingIndicator();
 
-    reader.readAsDataURL(file);
+try {
+this.isGenerating = true;
+this.elements.sendButton.disabled = true;
+
+// Generate response using streaming
+const streamer = new window.Transformers.TextStreamer(this.generator.tokenizer, {
+skip_prompt: true,
+skip_special_tokens: true,
+callback_function: (text) => {
+this.updateAssistantMessage(text);
+}
+});
+
+const output = await this.generator(this.messageHistory, {
+max_new_tokens: 512,
+do_sample: false,
+streamer: streamer,
 });
 
+// Add complete assistant message to history
+const assistantResponse = output[0].generated_text.at(-1).content;
+this.messageHistory.push({ role: "assistant", content: assistantResponse });
+
+} catch (error) {
+console.error('Generation error:', error);
+this.addMessage('Sorry, I encountered an error. Please try again.', 'assistant');
+} finally {
+this.isGenerating = false;
+this.elements.sendButton.disabled = false;
+this.hideTypingIndicator();
+}
+}
+
+addMessage(content, role) {
+const messageDiv = document.createElement('div');
+messageDiv.className = `message ${role}`;
+
+const avatar = document.createElement('div');
+avatar.className = 'message-avatar';
+
+if (role === 'user') {
+avatar.innerHTML = `
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none">
+  <circle cx="12" cy="8" r="3" stroke="currentColor" stroke-width="2" />
+  <path d="M16 14v1a3 3 0 01-3 3H11a3 3 0 01-3-3v-1" stroke="currentColor" stroke-width="2" stroke-linecap="round" />
+</svg>
+`;
+} else {
+avatar.innerHTML = `
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none">
+  <circle cx="12" cy="12" r="10" stroke="currentColor" stroke-width="2" />
+  <path d="M8 12h8M12 8v8" stroke="currentColor" stroke-width="2" stroke-linecap="round" />
+</svg>
+`;
+}
+
+const contentDiv = document.createElement('div');
+contentDiv.className = 'message-content';
+contentDiv.textContent = content;
+
+messageDiv.appendChild(avatar);
+messageDiv.appendChild(contentDiv);
+
+this.elements.messagesContainer.appendChild(messageDiv);
+this.scrollToBottom();
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+return messageDiv;
+}
+
+updateAssistantMessage(text) {
+if (!this.currentAssistantMessage) {
+this.hideTypingIndicator();
+this.currentAssistantMessage = this.addMessage('', 'assistant');
+}
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+const contentDiv = this.currentAssistantMessage.querySelector('.message-content');
+contentDiv.textContent = text;
+this.scrollToBottom();
 }
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
+showTypingIndicator() {
+this.elements.typingIndicator.classList.remove('hidden');
+this.scrollToBottom();
+}
 
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
+hideTypingIndicator() {
+this.elements.typingIndicator.classList.add('hidden');
+}
 
-    // 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) + '%',
-    })
+clearChat() {
+// Clear messages
+const messages = this.elements.messagesContainer.querySelectorAll('.message');
+messages.forEach(msg => msg.remove());
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+// Reset history
+this.messageHistory = [
+{ role: "system", content: "You are a helpful assistant. Be concise, friendly, and helpful in your responses." }
+];
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
+// Show welcome message
+if (this.elements.welcomeMessage) {
+this.elements.welcomeMessage.style.display = 'block';
 }
+
+// Clear current message reference
+this.currentAssistantMessage = null;
+}
+
+scrollToBottom() {
+this.elements.messagesContainer.scrollTop = this.elements.messagesContainer.scrollHeight;
+}
+}
+
+// Initialize the chatbot when DOM is ready
+document.addEventListener('DOMContentLoaded', () => {
+new AppleChatbot();
+});