Update index.js

index.js

@@ -1,79 +1,41 @@
-import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.10.1';
+import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.10.1';
 
-// Since we will download the model from the Hugging Face Hub, we can skip the local model check
-env.allowLocalModels = false;
-
-// Reference the elements that we will need
+// Status- und Input-Elemente
 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;
-    }
-
-    const reader = new FileReader();
+const userInput = document.getElementById('user-input');
+const sendButton = document.getElementById('send-button');
+const chatBox = document.getElementById('chat-box');
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
-
-    reader.readAsDataURL(file);
-});
+// Chatbot-Pipeline initialisieren
+status.textContent = 'Lade Modell...';
+const chatbot = await pipeline('text-generation', 'IhrModellName'); // Ersetzen Sie 'IhrModellName' mit dem Namen des Hugging Face Modells
+status.textContent = 'Bereit';
 
+// Nachrichtensendefunktion
+async function sendMessage() {
+    const message = userInput.value;
+    if (!message) return;
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+    displayMessage('Du: ' + message);
+    userInput.value = '';
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+    const response = await chatbot(message);
+    displayMessage('Bot: ' + response[0].generated_text);
 }
 
-// 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) + '%',
-    })
+// Nachricht im Chat anzeigen
+function displayMessage(message) {
+    const messageElement = document.createElement('div');
+    messageElement.textContent = message;
+    chatBox.appendChild(messageElement);
+}
 
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
+// Event-Listener für den Senden-Button
+sendButton.addEventListener('click', sendMessage);
 
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
-}
+// Enter-Taste als Alternative zum Senden
+userInput.addEventListener('keypress', function(e) {
+    if (e.key === 'Enter') {
+        sendMessage();
+    }
+});