|
<!DOCTYPE html> |
|
<html lang="en"> |
|
|
|
<head> |
|
<meta charset="UTF-8"> |
|
<title>Zero Shot Classification - Hugging Face Transformers.js</title> |
|
|
|
<script type="module"> |
|
|
|
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]'; |
|
|
|
window.pipeline = pipeline; |
|
</script> |
|
|
|
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"> |
|
|
|
<link rel="stylesheet" href="css/styles.css"> |
|
</head> |
|
|
|
<body> |
|
<div class="container-main"> |
|
|
|
|
|
<div class="row mt-5"> |
|
<div class="col-md-12 text-center"> |
|
<a href="index.html" class="btn btn-outline-secondary" |
|
style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
|
</div> |
|
</div> |
|
|
|
|
|
<div class="container mt-5"> |
|
|
|
<div class="text-center"> |
|
<h2>Natural Language Processing</h2> |
|
<h4>Zero Shot Classification</h4> |
|
</div> |
|
|
|
|
|
<div id="zero-shot-classification-container" class="container mt-4"> |
|
<h5>Zero Shot Classification with Xenova/mobilebert-uncased-mnli:</h5> |
|
<div class="d-flex align-items-center mb-2"> |
|
<label for="textText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> |
|
<input type="text" class="form-control flex-grow-1" id="textText" value="Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app." |
|
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> |
|
</div> |
|
<div class="d-flex align-items-center"> |
|
<label for="labelsText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> |
|
<input type="text" class="form-control flex-grow-1" id="labelsText" value="mobile, billing, website, account access" |
|
placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> |
|
<button id="classifyButton" class="btn btn-primary ml-2" |
|
onclick="classifyText()">Classify</button> |
|
</div> |
|
<div class="mt-4"> |
|
<h4>Output:</h4> |
|
<pre id="outputArea"></pre> |
|
</div> |
|
</div> |
|
|
|
<hr> |
|
|
|
<div id="zero-shot-classification-container-multi" class="container mt-4"> |
|
<h5>Zero Shot Classification with Xenova/nli-deberta-v3-xsmall (Multi-Label):</h5> |
|
<div class="d-flex align-items-center mb-2"> |
|
<label for="textTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> |
|
<input type="text" class="form-control flex-grow-1" id="textTextMulti" value="I have a problem with my iphone that needs to be resolved asap!" |
|
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> |
|
</div> |
|
<div class="d-flex align-items-center"> |
|
<label for="labelsTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> |
|
<input type="text" class="form-control flex-grow-1" id="labelsTextMulti" value="urgent, not urgent, phone, tablet, computer" |
|
placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> |
|
<button id="classifyButtonMulti" class="btn btn-primary ml-2" |
|
onclick="classifyTextMulti()">Classify</button> |
|
</div> |
|
<div class="mt-4"> |
|
<h4>Output:</h4> |
|
<pre id="outputAreaMulti"></pre> |
|
</div> |
|
</div> |
|
|
|
|
|
<div class="row mt-5"> |
|
<div class="col-md-12 text-center"> |
|
<a href="index.html" class="btn btn-outline-secondary" |
|
style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
|
</div> |
|
</div> |
|
</div> |
|
</div> |
|
|
|
<script> |
|
let classifier; |
|
let classifierMulti; |
|
|
|
async function initializeModel() { |
|
classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli'); |
|
classifierMulti = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall'); |
|
} |
|
async function classifyText() { |
|
const text = document.getElementById("textText").value.trim(); |
|
const labels = document.getElementById("labelsText").value.trim().split(",").map(item => item.trim()); |
|
const result = await classifier(text, labels); |
|
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); |
|
} |
|
async function classifyTextMulti() { |
|
const text = document.getElementById("textTextMulti").value.trim(); |
|
const labels = document.getElementById("labelsTextMulti").value.trim().split(",").map(item => item.trim()); |
|
const result = await classifierMulti(text, labels, { multi_label: true }); |
|
document.getElementById("outputAreaMulti").innerText = JSON.stringify(result, null, 2); |
|
} |
|
|
|
window.addEventListener("DOMContentLoaded", initializeModel); |
|
</script> |
|
</body> |
|
|
|
</html> |
