Spaces:
Running
Running
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Question Answering - Hugging Face Transformers.js</title> | |
<script type="module"> | |
// Import the library | |
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]'; | |
// Make it available globally | |
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"> | |
<!-- Page Header --> | |
<div class="header"> | |
<div class="header-logo"> | |
<img src="images/logo.png" alt="logo"> | |
</div> | |
<div class="header-main-text"> | |
<h1>Hugging Face Transformers.js</h1> | |
</div> | |
<div class="header-sub-text"> | |
<h3>Free AI Models for JavaScript Web Development</h3> | |
</div> | |
</div> | |
<hr> <!-- Separator --> | |
<!-- Back to Home button --> | |
<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> | |
<!-- Content --> | |
<div class="container mt-5"> | |
<!-- Centered Titles --> | |
<div class="text-center"> | |
<h2>Natural Language Processing</h2> | |
<h4>Question Answering</h4> | |
</div> | |
<!-- Actual Content of this page --> | |
<div id="question-answering-container" class="container mt-4"> | |
<h5>Question Answering:</h5> | |
<div class="d-flex align-items-center mb-2"> | |
<label for="questionText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Question:</label> | |
<input type="text" class="form-control flex-grow-1" id="questionText" value="Who was Jim Henson?" | |
placeholder="Enter question text" style="margin-right: 15px; margin-left: 15px;"> | |
</div> | |
<div class="d-flex align-items-center"> | |
<label for="contextText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Context:</label> | |
<input type="text" class="form-control flex-grow-1" id="contextText" value="Jim Henson was a nice puppet." | |
placeholder="Enter context text" style="margin-right: 15px; margin-left: 15px;"> | |
<button id="answerButton" class="btn btn-primary ml-2" | |
onclick="answerQuestion()">Answer</button> | |
</div> | |
<div class="mt-4"> | |
<h4>Output:</h4> | |
<pre id="outputArea"></pre> | |
</div> | |
</div> | |
<hr> <!-- Line Separator --> | |
<div id="question-answering-container2" class="container mt-4"> | |
<h5>Question Answering (Top Results):</h5> | |
<div class="d-flex align-items-center mb-2"> | |
<label for="questionTopText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Question:</label> | |
<input type="text" class="form-control flex-grow-1" id="questionTopText" value="What is the temperature today?" | |
placeholder="Enter question text" style="margin-right: 15px; margin-left: 15px;"> | |
</div> | |
<div class="d-flex align-items-center"> | |
<label for="contextTopText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Context:</label> | |
<input type="text" class="form-control flex-grow-1" id="contextTopText" value="It is very hot today." | |
placeholder="Enter context text" style="margin-right: 15px; margin-left: 15px;"> | |
<button id="answerTopButton" class="btn btn-primary ml-2" | |
onclick="answerQuestionTop()">Answer</button> | |
</div> | |
<div class="mt-4"> | |
<h4>Output:</h4> | |
<pre id="outputTopArea"></pre> | |
</div> | |
</div> | |
<!-- Back to Home button --> | |
<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 answerer; | |
// Initialize the sentiment analysis model | |
async function initializeModel() { | |
answerer = await pipeline('question-answering', 'Xenova/distilbert-base-uncased-distilled-squad'); | |
} | |
async function answerQuestion() { | |
const question = document.getElementById("questionText").value.trim(); | |
const context = document.getElementById("contextText").value.trim(); | |
const result = await answerer(question, context); | |
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
} | |
async function answerQuestionTop() { | |
const question = document.getElementById("questionTopText").value.trim(); | |
const context = document.getElementById("contextTopText").value.trim(); | |
const result = await answerer(question, context, { topk: 3 }); | |
document.getElementById("outputTopArea").innerText = JSON.stringify(result, null, 2); | |
} | |
// Initialize the model after the DOM is completely loaded | |
window.addEventListener("DOMContentLoaded", initializeModel); | |
</script> | |
</body> | |
</html> |