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index.js

@@ -1,76 +1,92 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.4.1';
-
-// 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@3.7.1';
+
+document.addEventListener('DOMContentLoaded', () => {
+    const chatContainer = document.getElementById('chat-container');
+    const chatForm = document.getElementById('chat-form');
+    const userInput = document.getElementById('user-input');
+    const loading = document.getElementById('loading');
+    const errorDiv = document.getElementById('error');
+    let generator = null;
+    let messages = [{ role: "system", content: "You are a helpful assistant." }];
+
+    async function initGenerator() {
+        try {
+            loading.classList.remove('hidden');
+            errorDiv.classList.add('hidden');
+            generator = await pipeline(
+                "text-generation",
+                "onnx-community/gemma-3-270m-it-ONNX",
+                { dtype: "fp32" }
+            );
+            loading.classList.add('hidden');
+            addMessage('system', 'Chatbot is ready! How can I help you?');
+        } catch (err) {
+            loading.classList.add('hidden');
+            errorDiv.textContent = 'Failed to load the model. Please try refreshing the page.';
+            errorDiv.classList.remove('hidden');
+            console.error(err);
+        }
     }
 
-    const reader = new FileReader();
-
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
-
-    reader.readAsDataURL(file);
-});
+    function addMessage(role, content) {
+        const messageDiv = document.createElement('div');
+        messageDiv.classList.add('message', role === 'user' ? 'user-message' : 'bot-message');
+        messageDiv.textContent = content;
+        chatContainer.appendChild(messageDiv);
+        chatContainer.scrollTop = chatContainer.scrollHeight;
+    }
 
+    async function generateResponse() {
+        if (!generator) return;
+
+        loading.classList.remove('hidden');
+        document.getElementById('send-btn').disabled = true;
+        userInput.disabled = true;
+
+        const botMessageDiv = document.createElement('div');
+        botMessageDiv.classList.add('message', 'bot-message');
+        chatContainer.appendChild(botMessageDiv);
+        chatContainer.scrollTop = chatContainer.scrollHeight;
+
+        try {
+            const streamer = new TextStreamer(generator.tokenizer, {
+                skip_prompt: true,
+                skip_special_tokens: true,
+                callback_function: (text) => {
+                    botMessageDiv.textContent += text;
+                    chatContainer.scrollTop = chatContainer.scrollHeight;
+                }
+            });
+
+            const output = await generator(messages, {
+                max_new_tokens: 512,
+                do_sample: false,
+                streamer: streamer
+            });
+
+            const response = output[0].generated_text.at(-1).content;
+            messages.push({ role: "assistant", content: response });
+        } catch (err) {
+            botMessageDiv.textContent = 'Error generating response.';
+            console.error(err);
+        } finally {
+            loading.classList.add('hidden');
+            document.getElementById('send-btn').disabled = false;
+            userInput.disabled = false;
+            userInput.focus();
+        }
+    }
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+    chatForm.addEventListener('submit', (e) => {
+        e.preventDefault();
+        const userText = userInput.value.trim();
+        if (!userText) return;
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
+        addMessage('user', userText);
+        messages.push({ role: "user", content: userText });
+        userInput.value = '';
+        generateResponse();
     });
-    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);
-}
+    initGenerator();
+});