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| <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/transformers@2.5.4'; | |
| // Make it available globally | |
| window.pipeline = pipeline; | |
| </script> | |
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| <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 --> | |
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| <div class="row mt-5"> | |
| <div class="col-md-12 text-center"> | |
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| 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> |