Spaces:
Running
Running
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Zero Shot Classification - Hugging Face Transformers.js</title> | |
| <script type="module"> | |
| // To-Do: transformers.js 라이브러리 중 pipeline 함수를 import하십시오. | |
| // Make it available globally | |
| window.pipeline = pipeline; | |
| </script> | |
| <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet"> | |
| <link rel="stylesheet" href="css/styles.css"> | |
| </head> | |
| <body> | |
| <div class="container-main"> | |
| <!-- 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>Zero Shot Classification</h4> | |
| </div> | |
| <!-- Actual Content of this page --> | |
| <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> <!-- Line Separator --> | |
| <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> | |
| <!-- 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 classifier; | |
| let classifierMulti; | |
| // Initialize the sentiment analysis model | |
| async function initializeModel() { | |
| // To-Do: pipeline 함수에 task와 model을 지정하여 zero 샷 분류 모델을 생성하여 classifier에 저장하십시오. 모델은 Xenova/mobilebert-uncased-mnli 사용 | |
| // To-Do: pipeline 함수에 task와 model을 지정하여 zero 샷 분류 모델을 생성하여 classifierMulti에 저장하십시오. 모델은 Xenova/nli-deberta-v3-xsmall 사용 | |
| } | |
| 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); | |
| } | |
| // Initialize the model after the DOM is completely loaded | |
| window.addEventListener("DOMContentLoaded", initializeModel); | |
| </script> | |
| </body> | |
| </html> |