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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Text-to-text Generation - 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> | |
| <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>Text-to-text Generation</h4> | |
| </div> | |
| <!-- Actual Content of this page --> | |
| <div id="text-to-text-generation-container" class="container mt-4"> | |
| <h5>Text-to-text generation w/ Xenova/LaMini-Flan-T5-783M:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="text-to-textGenerationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter | |
| input text sequence:</label> | |
| <input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText" | |
| value="how can I become more healthy?" placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="generateButton" class="btn btn-primary" onclick="generateText()">Generate</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea"></pre> | |
| </div> | |
| </div> | |
| <hr> <!-- Line Separator --> | |
| <div id="text-to-text-generation-container2" class="container mt-4"> | |
| <h5>Generate a Poem Using LaMini-Flan-T5-783M:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="text-to-textGenerationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter | |
| Poem to | |
| Generate:</label> | |
| <input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText2" | |
| value="Write me a love poem about cheese." placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="generateButton2" class="btn btn-primary" onclick="generateText2()">Generate</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea2"></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 generator; | |
| // Initialize the sentiment analysis model | |
| async function initializeModel() { | |
| generator = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-783M'); | |
| } | |
| async function generateText() { | |
| const textFieldValue = document.getElementById("text-to-textGenerationText").value.trim(); | |
| const result = await generator(textFieldValue, { | |
| max_new_tokens: 100, | |
| }); | |
| document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
| } | |
| async function generateText2() { | |
| const textFieldValue = document.getElementById("text-to-textGenerationText2").value.trim(); | |
| const result = await generator(textFieldValue, { | |
| max_new_tokens: 200, | |
| temperature: 0.9, | |
| repetition_penalty: 2.0, | |
| no_repeat_ngram_size: 3, | |
| // To-Do: generator ๊ฐ์ฒด์ temperature ํ๋ผ๋ฏธํฐ ๊ฐ์ ์ง์ ํ์ญ์์ค. | |
| }); | |
| document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
| // To-Do: result์ ๊ฐ์ stringd์ผ๋ก ๋ณํํ์ฌ outputArea2์ ์ถ๋ ฅํ์ญ์์ค. | |
| // ํํธ: document.getElementById("outputArea2") ์ฌ์ฉ | |
| } | |
| // Initialize the model after the DOM is completely loaded | |
| window.addEventListener("DOMContentLoaded", initializeModel); | |
| </script> | |
| </body> | |
| </html> |