Update index.js

index.js

@@ -1,76 +1,79 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/[email protected]';
+import { Client } from "@gradio/client";
+chatDisplay.appendChild(wrap);
+chatDisplay.scrollTop = chatDisplay.scrollHeight;
+}
 
-// 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';
+// connect to gradio back-end
+async function connectClient(){
+pushMessage('assistant','Connecting to model...');
+try{
+client = await Client.connect('amd/gpt-oss-120b-chatbot');
+isConnected = true;
+pushMessage('assistant','Connected. You can send messages.');
+}catch(err){
+pushMessage('assistant','Failed to connect: ' + String(err));
+console.error(err);
+}
+}
 
-// 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);
-});
+// send a chat request
+async function sendChat(){
+if(!isConnected){
+await connectClient();
+if(!isConnected) return;
+}
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
 
-    const reader = new FileReader();
+const message = userInput.value.trim();
+const system_prompt = systemInput.value;
+if(!message) return;
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
 
-    reader.readAsDataURL(file);
-});
+// UI lock
+sendBtn.disabled = true;
 
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+// show user message immediately
+pushMessage('user', message);
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+
+try{
+// call gradio predict endpoint
+const result = await client.predict('/chat', {
+message,
+system_prompt,
+temperature: 0,
+});
+
+
+// gradio client returns result.data per example
+// Some backends may return streaming or different structure — adjust if needed
+const assistantText = (result && result.data) ? String(result.data) : 'No response';
+pushMessage('assistant', assistantText);
+}catch(err){
+console.error(err);
+pushMessage('assistant','Error: ' + String(err));
+}finally{
+sendBtn.disabled = false;
+userInput.value = '';
+userInput.focus();
 }
+}
+
 
-// 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);
+// wire events
+sendBtn.addEventListener('click', sendChat);
+userInput.addEventListener('keydown', (e) => {
+// Enter to send
+if(e.key === 'Enter'){
+e.preventDefault();
+sendChat();
 }
+});
+
+
+// initial connect in background
+connectClient();
+})();