Delete index.js

index.js

@@ -1,84 +0,0 @@
-import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/[email protected]';
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const inputText = document.getElementById('text-field');
-const inputSubmitBtn = document.getElementById('submit');
-
-// Create a new object detection pipeline
-// status.textContent = 'Loading model...';
-const classifier = await pipeline('token-classification', 'Setosm/bert-finetuned-for-medical-ner');
-// status.textContent = 'Ready';
-
-inputSubmitBtn.addEventListener('click', async (e) => {
-    e.preventDefault();
-    let result = await classifier(inputText.value);
-    console.log(result);
-    showOutput();
-});
-
-function showOutput() {
-  
-}
-
-// 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();
-
-//     // 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);
-// }