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index.js

@@ -1,76 +1,41 @@
-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';
-
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
-
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
-
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
+import { pipeline, TextStreamer } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.3';
+
+// --- Configuration ---
+const MODEL_ID = "onnx-community/gemma-3-270m-it-ONNX";
+const SYSTEM_PROMPT = { role: "system", content: "You are a helpful assistant." };
+
+// --- State ---
+let generator = null;
+let messages = [SYSTEM_PROMPT];
+let isGenerating = false;
+let currentDevice = 'cpu';
+
+// --- DOM Elements ---
+const chatContainer = document.getElementById('chat-container');
+const chatForm = document.getElementById('chat-form');
+const userInput = document.getElementById('user-input');
+const sendBtn = document.getElementById('send-btn');
+const statusBar = document.getElementById('status-bar');
+const statusText = document.querySelector('.status-text');
+const progressBar = document.getElementById('progress-bar');
+const deviceSelect = document.getElementById('device-select');
+const resetBtn = document.getElementById('reset-btn');
+
+// --- Initialization ---
+function checkWebGPU() {
+    if (!navigator.gpu) {
+        const gpuOption = deviceSelect.querySelector('option[value="webgpu"]');
+        if (gpuOption) {
+            gpuOption.disabled = true;
+            gpuOption.textContent = "GPU (WebGPU not available)";
+        }
     }
-
-    const reader = new FileReader();
-
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
-
-    reader.readAsDataURL(file);
-});
-
-
-// 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);
 }
+checkWebGPU();
+
+// --- Pipeline Management ---
+async function loadGenerator() {
+    const selectedDevice = deviceSelect.value;
+    
+    // If we already have a generator and the device hasn't changed, return it
+    if (generator && currentDevice