snibo13.github.io/shrtn.html at master · snibo13/snibo13.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Sentence Embedding Calculator</title>

    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder"></script>
    <script src="https://cdn.jsdelivr.net/npm/@mlc-ai/web-llm@0.2.77/lib/index.min.js"></script>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder"></script>
    <link rel="preconnect" href="https://fonts.googleapis.com">
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
    <link href="https://fonts.googleapis.com/css2?family=Knewave&display=swap" rel="stylesheet">
    <link href="https://fonts.googleapis.com/css2?family=Sriracha&display=swap" rel="stylesheet">
    <style>
        body {
            font-family: "Sriracha", serif;
            background-color: #50c8e6;

        }

        .container {
            display: flex;
            flex-direction: column;
            align-items: center;
            justify-content: center;
            justify-items: center;
        }

        #title {
            font-family: 'Knewave';
            font-size: 10vh;
        }

        form {
            display: flex;
            flex-direction: column;
            align-items: center;
            justify-content: center;
            justify-items: center;
        }

        input[type="text"] {
            width: 60vw;
            font-size: 24px;
            border: 3px solid #000000;
            border-radius: 5px;
            min-height: 40px;
            text-align: center;
        }

        button {
            background-color: black;
            color: white;
            border: none;
            padding: 30px 30px;
            border-radius: 20px;
            cursor: pointer;
            font-size: 1rem;
        }

        button:hover {
            background-color: #0056b3;
        }

        button:disabled {
            background-color: #6c757d;
            cursor: not-allowed;
        }

        #result {
            margin-top: 36px;
            white-space: pre-wrap;
            font-size: 24px;
        }

        .error {
            color: #dc3545;
            margin-top: 1rem;
        }

        .loading {
            display: none;
            margin-top: 1rem;
        }

        .loading.visible {
            display: block;
        }
    </style>
</head>

<body>
    <div class="container">
        <h1 id="title">SHRTN</h1>
        <h1 id="initial-sentence"> The quick brown fox jumps over the lazy dog</h1>

        <form autocomplete="off" autocapitalize="none" autocorrect="on">
            <input type="text" id="input" placeholder="Enter your sentence here...">
            <!-- <p>Character count:
            <p id="character-count">0</p> -->
            </p>
            <br>
            <span style="display: flex; flex-direction: row; width: 50%; justify-content: space-between;">

                <button id="calculate">Calculate Embedding</button>
                <button id="next">Next Sentence</button>
            </span>
        </form>
        <!-- <textarea id="input" placeholder="Enter your sentence here..."></textarea>

        <button id="calculate">Calculate Embedding</button> -->

        <div id="loading" class="loading">
            Computing embedding...
        </div>

        <div id="result"></div>
    </div>
    <script lang="ts">
        const input = document.getElementById('input');
        const calculate = document.getElementById('calculate');
        const result = document.getElementById('result');
        const loading = document.getElementById('loading');
        const initial_sentence = document.getElementById('initial-sentence');
        const form = document.querySelector('form');
        const characterCountText = document.getElementById('character-count');

        let model;
        let indx = Math.floor(Math.random() * 50);
        let list;
        let initialEmbedding;
        let initialSentence;
        let characterCount;
        let initialCharacterCount;

        // Create a type with a character difference, embedding difference, and score.
        // const Score = {
        //     characterDiff: number,
        //     embeddingDiff: number,
        //     score: number
        // };

        const scores = [];


        loadModel();
        fetch("../shrtn.json")
            .then(response => response.json())
            .then(data => {
                list = data;
                initialSentence = list.sentences[indx];
                console.log(initialSentence);
                // const initialSentence = list.sentences[indx];
                initialCharacterCount = initialSentence.length
                characterCount = initialCharacterCount;
                initial_sentence.textContent = initialSentence;
                input.value = initialSentence;
            });

        function computeScore(characterDiff, embeddingDiff) {
            // First 5 character are 5 points
            // Next 5 characters are 8 points
            // Next 2 characters are 10 points
            // All other characters are 15 points
            let characterSubScore = 5 * Math.min(characterDiff, 5) +
                8 * Math.min(Math.max(characterDiff - 5, 0), 5) +
                10 * Math.min(Math.max(characterDiff - 10, 0), 2) +
                15 * Math.max(characterDiff - 12, 0);

            let embeddingSubScore = 10 * (1 - embeddingDiff);

            return Math.floor(embeddingSubScore * characterSubScore);

        }

        async function loadModel() {
            model = await use.load();
            console.log('Model loaded');
            loading.classList.remove('visible');

            // Embed the initial sentence.
            initialEmbedding = await model.embed(initialSentence);
            characterCountText.textContent = characterCount;
        }

        function calculateCharacterCountDifference(sentence) {
            return initialCharacterCount - sentence.length;
        }

        function calculateEmbeddingDifference(embedding) {
            return tf.losses.cosineDistance(embedding, initialEmbedding).arraySync();
        }

        calculate.addEventListener('click', async () => {
            loading.classList.add('visible');
            result.textContent = '';

            if (!model) {
                await loadModel();
            }
            // Embed the input sentence.
            const embeddings = await model.embed(input.value);
            const characterDiff = Math.round(calculateCharacterCountDifference(input.value), 2);
            const embeddingDiff = Math.max(0, calculateEmbeddingDifference(embeddings)).toFixed(2);

            // Print the embeddings.
            scores.push({
                characterDiff,
                embeddingDiff,
                score: computeScore(characterDiff, embeddingDiff)
            });
            result.textContent = `Character count difference: ${characterDiff}\n` +
                `Embedding difference: ${embeddingDiff}` + '\n' + `Score: ${computeScore(characterDiff, embeddingDiff)}`;
            loading.classList.remove('visible');
        });

        next.addEventListener('click', () => {
            // Refresh the page
            window.location.reload();
        });


        form.addEventListener('submit', (e) => {
            e.preventDefault();
            calculate.click();
        });

        input.addEventListener('keydown', () => {
            characterCount = input.value.length;
            characterCountText.textContent = characterCount;
        });


    </script>
</body>

</html>