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index.js

@@ -1,76 +1,212 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.6';
-
-// 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');
-
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+// Main application logic for the chatbot
+class ChatbotApp {
+constructor() {
+this.generator = null;
+this.messages = [
+{ role: "system", content: "You are a helpful assistant." }
+];
+this.isGenerating = false;
+this.init();
+}
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
+async init() {
+// Initialize UI elements
+this.loadingScreen = document.getElementById('loadingScreen');
+this.chatContainer = document.getElementById('chatContainer');
+this.messagesArea = document.getElementById('messagesArea');
+this.messageInput = document.getElementById('messageInput');
+this.sendButton = document.getElementById('sendButton');
+this.progressBar = document.getElementById('progressBar');
+this.progressText = document.getElementById('progressText');
+
+// Set up event listeners
+this.sendButton.addEventListener('click', () => this.sendMessage());
+this.messageInput.addEventListener('keydown', (e) => this.handleKeyPress(e));
+this.messageInput.addEventListener('input', () => this.adjustTextareaHeight());
+
+// Load the model
+await this.loadModel();
+}
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
+async loadModel() {
+try {
+// Import transformers.js
+const { pipeline, TextStreamer, env } = await import('https://cdn.jsdelivr.net/npm/@huggingface/transformers');
+
+// Configure environment
+env.allowLocalModels = false;
+env.allowRemoteModels = true;
+
+// Create a text generation pipeline
+this.generator = await pipeline(
+"text-generation",
+"onnx-community/gemma-3-270m-it-ONNX",
+{
+dtype: "fp32",
+progress_callback: (info) => {
+if (info.status === 'downloading') {
+const progress = Math.round((info.loaded / info.total) * 100);
+this.updateProgress(progress);
+}
+}
+}
+);
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+// Model loaded successfully
+this.loadingScreen.classList.add('hidden');
+this.chatContainer.classList.remove('hidden');
+this.messageInput.focus();
 
-    const reader = new FileReader();
+} catch (error) {
+console.error('Error loading model:', error);
+this.showError('Failed to load model. Please refresh the page and try again.');
+}
+}
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+updateProgress(progress) {
+this.progressBar.style.width = `${progress}%`;
+this.progressText.textContent = `${progress}%`;
+}
 
-    reader.readAsDataURL(file);
-});
+showError(message) {
+this.loadingScreen.innerHTML = `
+<div class="text-center">
+  <div class="inline-flex items-center justify-center w-16 h-16 mb-4 bg-red-100 rounded-full">
+    <svg class="w-8 h-8 text-red-500" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+      <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" + "d="M12 8v4m0 4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
+    </svg>
+  </div>
+  <h2 class="text-xl font-semibold text-gray-900 mb-2">Error</h2>
+  <p class="text-gray-500">${message}</p>
+  <button onclick="location.reload()" class="mt-4 px-4 py-2 bg-purple-500 text-white rounded-lg hover:bg-purple-600 transition-colors">
+                    Retry
+                </button>
+</div>
+`;
+}
 
+handleKeyPress(e) {
+if (e.key === 'Enter' && !e.shiftKey) {
+e.preventDefault();
+this.sendMessage();
+}
+}
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+adjustTextareaHeight() {
+this.messageInput.style.height = 'auto';
+this.messageInput.style.height = Math.min(this.messageInput.scrollHeight, 120) + 'px';
+}
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+async sendMessage() {
+const message = this.messageInput.value.trim();
+if (!message || this.isGenerating) return;
+
+// Add user message to UI
+this.addMessageToUI('user', message);
+this.messages.push({ role: "user", content: message });
+
+// Clear input
+this.messageInput.value = '';
+this.adjustTextareaHeight();
+
+// Disable send button
+this.isGenerating = true;
+this.sendButton.disabled = true;
+this.sendButton.innerHTML = `
+<svg class="w-5 h-5 animate-spin" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+  <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" + "d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15">
+  </path>
+</svg>
+`;
+
+// Add assistant message placeholder
+const assistantMessageId = this.addMessageToUI('assistant', '', true);
+
+try {
+// Generate response with streaming
+let fullResponse = '';
+const streamer = new this.generator.tokenizer.TextStreamer(this.generator.tokenizer, {
+skip_prompt: true,
+skip_special_tokens: true,
+callback_function: (text) => {
+fullResponse += text;
+this.updateMessage(assistantMessageId, fullResponse);
 }
+});
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
+const output = await this.generator(this.messages, {
+max_new_tokens: 512,
+do_sample: false,
+streamer: streamer,
+});
 
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
+const response = output[0].generated_text.at(-1).content;
+this.messages.push({ role: "assistant", content: response });
+
+} catch (error) {
+console.error('Error generating response:', error);
+this.updateMessage(assistantMessageId, 'Sorry, I encountered an error. Please try again.');
+} finally {
+// Re-enable send button
+this.isGenerating = false;
+this.sendButton.disabled = false;
+this.sendButton.innerHTML = `
+<svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+  <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 19l9 2-9-18-9 18 9-2zm0 0v-8"></path>
+</svg>
+`;
+this.messageInput.focus();
+}
+}
 
-    // 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) + '%',
-    })
+addMessageToUI(role, content, isStreaming = false) {
+const messageId = Date.now();
+const messageDiv = document.createElement('div');
+messageDiv.className = 'flex items-start space-x-3';
+messageDiv.id = `message-${messageId}`;
+
+if (role === 'user') {
+messageDiv.innerHTML = `
+<div class="w-8 h-8 bg-gray-300 rounded-full flex items-center justify-center flex-shrink-0">
+  <svg class="w-5 h-5 text-gray-600" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+    <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" + "d="M16 7a4 4 0 11-8 0 4 4 0 018 0zM12 14a7 7 0 00-7 7h14a7 7 0 00-7-7z"></path>
+  </svg>
+</div>
+<div class="bg-gray-100 rounded-lg shadow-sm p-4 max-w-md">
+  <p class="text-gray-800 whitespace-pre-wrap">${content}</p>
+</div>
+`;
+} else {
+messageDiv.innerHTML = `
+<div
+  class="w-8 h-8 bg-gradient-to-br from-purple-500 to-pink-500 rounded-full flex items-center justify-center flex-shrink-0">
+  <svg class="w-5 h-5 text-white" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+    <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" + "d="M9.663 17h4.673M12 3v1m6.364 1.636l-.707.707M21 12h-1M4 12H3m3.343-5.657l-.707-.707m2.828 9.9a5 5 0 117.072 0l-.548.547A3.374 3.374 0 0014 18.469V19a2 2 0 11-4 0v-.531c0-.895-.356-1.754-.988-2.386l-.548-.547z">
+    </path>
+  </svg>
+</div>
+<div class="bg-white rounded-lg shadow-sm p-4 max-w-md">
+  <p class="text-gray-800 whitespace-pre-wrap">${isStreaming ? '<span class="animate-pulse">▋</span>' : content}</p>
+</div>
+`;
+}
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+this.messagesArea.appendChild(messageDiv);
+this.messagesArea.scrollTop = this.messagesArea.scrollHeight;
+return messageId;
+}
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
+updateMessage(messageId, content) {
+const messageElement = document.getElementById(`message-${messageId}`);
+if (messageElement) {
+const contentElement = messageElement.querySelector('.bg-white p, .bg-gray-100 p');
+contentElement.innerHTML = content + '<span class="animate-pulse">▋</span>';
+this.messagesArea.scrollTop = this.messagesArea.scrollHeight;
 }
+}
+}
+
+// Initialize the app when DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
+new ChatbotApp();
+});