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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Image to Text - 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"> | |
| <!-- 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>Computer Vision</h2> | |
| <h4>Image to Text</h4> | |
| </div> | |
| <!-- Actual Content of this page --> | |
| <div id="image-to-text-container" class="container mt-4"> | |
| <h5>Generate a Caption for an Image w/ Xenova/vit-gpt2-image-captionin:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="imageToTextURLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter | |
| image to Caption URL:</label> | |
| <input type="text" class="form-control flex-grow-1" id="imageToTextURLText" | |
| value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg" | |
| placeholder="Enter image" style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="ImagetoTextButton" class="btn btn-primary" onclick="captionImage()">Caption</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea"></pre> | |
| </div> | |
| </div> | |
| <hr> <!-- Line Separator --> | |
| <div id="image-to-text-local-container" class="container mt-4"> | |
| <h5>Generate a Caption for a Local Image:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="imagetoTextLocalFile" class="mb-0 text-nowrap" | |
| style="margin-right: 15px;">Select Local Image:</label> | |
| <input type="file" id="imagetoTextLocalFile" accept="image/*" /> | |
| <button id="CaptionButtonLocal" class="btn btn-primary" | |
| onclick="captionImageLocal()">Caption</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputAreaLocal"></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 captioner; | |
| // Initialize the sentiment analysis model | |
| async function initializeModel() { | |
| captioner = await pipeline('image-to-text', 'Xenova/vit-gpt2-image-captioning'); | |
| } | |
| async function captionImage() { | |
| const textFieldValue = document.getElementById("imageToTextURLText").value.trim(); | |
| const result = await captioner(textFieldValue); | |
| document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
| } | |
| async function captionImageLocal() { | |
| const fileInput = document.getElementById("imagetoTextLocalFile"); | |
| const file = fileInput.files[0]; | |
| if (!file) { | |
| alert('Please select an image file first.'); | |
| return; | |
| } | |
| // Create a Blob URL from the file | |
| const url = URL.createObjectURL(file); | |
| const result = await captioner(url); | |
| document.getElementById("outputAreaLocal").innerText = JSON.stringify(result, null, 2); | |
| } | |
| // Initialize the model after the DOM is completely loaded | |
| window.addEventListener("DOMContentLoaded", initializeModel); | |
| </script> | |
| </body> | |
| </html> |