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index.js

@@ -1,76 +1,125 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.4.1';
+import { pipeline, TextStreamer } from '@huggingface/transformers';
+
+// DOM Elements
+const chatHistory = document.getElementById('chat-history');
+const userInput = document.getElementById('user-input');
+const sendButton = document.getElementById('send-button');
+
+// Global pipeline variable
+let generator = null;
+
+// Initialize the model when the page loads
+async function initializeModel() {
+  try {
+    showLoader('Loading model...');
+    generator = await pipeline('text-generation', 'onnx-community/Qwen3-0.6B-ONNX', { dtype: 'q4f16' });
+    hideLoader();
+    addMessage('System', 'Model loaded successfully! You can now start chatting.', 'system');
+  } catch (error) {
+    hideLoader();
+    addMessage('System', `Error loading model: ${error.message}`, 'error');
+  }
+}
 
-// 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');
+// Show loading message
+function showLoader(message) {
+  const loaderElement = document.createElement('div');
+  loaderElement.className = 'chat-message system';
+  loaderElement.id = 'loader';
+  loaderElement.innerHTML = `
+    <div class="message-content">
+      <div class="loader"></div>
+      <span>${message}</span>
+    </div>
+  `;
+  chatHistory.appendChild(loaderElement);
+  chatHistory.scrollTop = chatHistory.scrollHeight;
+}
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
+// Hide loading message
+function hideLoader() {
+  const loaderElement = document.getElementById('loader');
+  if (loaderElement) loaderElement.remove();
+}
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
+// Add message to chat display
+function addMessage(role, content, type = 'user') {
+  const messageElement = document.createElement('div');
+  messageElement.className = `chat-message ${type}`;
+  
+  if (type === 'user' || type === 'assistant') {
+    messageElement.innerHTML = `<strong>${role}:</strong> ${content}`;
+  } else {
+    messageElement.innerHTML = `<em>${content}</em>`;
+  }
+  
+  chatHistory.appendChild(messageElement);
+  chatHistory.scrollTop = chatHistory.scrollHeight;
+}
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
+// Handle sending messages
+async function handleSendMessage() {
+  if (!generator) {
+    addMessage('System', 'Model is still loading. Please wait...', 'error');
+    return;
+  }
+
+  const input = userInput.value.trim();
+  if (!input) return;
+
+  // Add user message to chat
+  addMessage('You', input, 'user');
+  userInput.value = '';
+
+  try {
+    // Prepare messages for model
+    const messages = [
+      { role: 'system', content: 'You are a helpful assistant.' },
+      { role: 'user', content: input }
+    ];
+
+    // Create temporary element for streaming response
+    const assistantMessageElement = document.createElement('div');
+    assistantMessageElement.className = 'chat-message assistant';
+    assistantMessageElement.innerHTML = '<strong>Assistant:</strong> ';
+    const contentSpan = document.createElement('span');
+    assistantMessageElement.appendChild(contentSpan);
+    chatHistory.appendChild(assistantMessageElement);
+
+    // Create streamer to handle response tokens
+    const streamer = new TextStreamer(generator.tokenizer, {
+      skip_prompt: true,
+      skip_special_tokens: true,
+      callback_function: (token) => {
+        contentSpan.textContent += token;
+        chatHistory.scrollTop = chatHistory.scrollHeight;
+      }
+    });
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
+    // Generate response
+    await generator(messages, {
+      max_new_tokens: 256,
+      do_sample: false,
+      streamer: streamer
+    });
 
-    const reader = new FileReader();
+    // Final response element update
+    contentSpan.textContent = contentSpan.textContent.trim();
+    chatHistory.scrollTop = chatHistory.scrollHeight;
+  } catch (error) {
+    addMessage('System', `Error generating response: ${error.message}`, 'error');
+  }
+}
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+// Event Listeners
+sendButton.addEventListener('click', handleSendMessage);
 
-    reader.readAsDataURL(file);
+userInput.addEventListener('keydown', (e) => {
+  if (e.key === 'Enter' && !e.shiftKey) {
+    e.preventDefault();
+    handleSendMessage();
+  }
 });
 
-
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
-
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
-}
-
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
-
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
-
-    // 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) + '%',
-    })
-
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
-
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
-}
+// Initialize the model on page load
+document.addEventListener('DOMContentLoaded', initializeModel);