Here's a high-level example using Node.js, Express.js, and AWS S3:
// server.js const express = require('express'); const multer = require('multer'); const aws = require('aws-sdk'); const db = require('./db'); // assume a database connection how to convert gif to url link
const saveGifMetadata = async (fileName, gifUrl) => { const query = 'INSERT INTO gif_metadata (file_name, url) VALUES (?, ?)'; const values = [fileName, gifUrl]; await db.query(query, values); }; Here's a high-level example using Node
<script> const form = document.getElementById('gif-form'); form.addEventListener('submit', async (e) => { e.preventDefault(); const fileInput = document.getElementById('gif-file'); const file = fileInput.files[0]; const formData = new FormData(); formData.append('gif', file); Here's a high-level example using Node.js
const app = express(); const upload = multer({ dest: './uploads/' });
module.exports = { saveGifMetadata }; This is a basic example to demonstrate the feature. You'll need to modify and extend it to fit your specific requirements. Additionally, ensure you handle errors, implement security measures (e.g., validate user input), and optimize performance.