Hackathon_new/index.html at main · ishansharma08/Hackathon_new · 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>AI Image Compressor</title>
    <style>
        /* Basic Reset & Body Styling */
        body {
            margin: 0;
            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
                'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
                sans-serif;
            -webkit-font-smoothing: antialiased;
            -moz-osx-font-smoothing: grayscale;
            background-color: #111827; /* bg-gray-900 */
            color: #ffffff; /* text-white */
        }

        /* Main App Container */
        .app-container {
            min-height: 100vh;
            display: flex;
            flex-direction: column;
            align-items: center;
            padding: 1rem;
        }
        @media (min-width: 768px) {
            .app-container {
                padding: 2rem;
            }
        }

        .content-wrapper {
            width: 100%;
            max-width: 80rem; /* max-w-7xl */
            margin: 0 auto;
        }

        /* Header */
        .app-header {
            text-align: center;
            margin-bottom: 2rem;
        }
        .app-title {
            font-size: 2.25rem; /* text-4xl */
            font-weight: 700;
            background-image: linear-gradient(to right, #a78bfa, #ec4899);
            -webkit-background-clip: text;
            background-clip: text;
            color: transparent;
        }
        @media (min-width: 768px) {
            .app-title {
                font-size: 3rem; /* md:text-5xl */
            }
        }
        .app-subtitle {
            color: #9ca3af; /* text-gray-400 */
            margin-top: 0.5rem;
        }

        /* Main Content Area */
        .main-content {
            background-color: rgba(31, 41, 55, 0.5); /* bg-gray-800/50 */
            border-radius: 1rem; /* rounded-2xl */
            box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.25); /* shadow-2xl */
            padding: 1.5rem;
            border: 1px solid #374151; /* border-gray-700 */
            backdrop-filter: blur(4px);
            -webkit-backdrop-filter: blur(4px);
        }
        @media (min-width: 768px) {
            .main-content {
                padding: 2rem;
            }
        }

        /* Upload Box */
        .upload-box {
            display: flex;
            flex-direction: column;
            align-items: center;
            justify-content: center;
            height: 20rem; /* h-80 */
            border: 2px dashed #4b5563; /* border-dashed border-gray-600 */
            border-radius: 0.75rem; /* rounded-xl */
            text-align: center;
        }
        .upload-icon {
            width: 4rem; /* w-16 */
            height: 4rem; /* h-16 */
            color: #6b7280; /* text-gray-500 */
            margin-bottom: 1rem;
        }
        .upload-box h3 {
            font-size: 1.25rem;
            font-weight: 600;
            margin-bottom: 0.5rem;
        }
        .upload-box p {
            color: #9ca3af; /* text-gray-400 */
            margin-bottom: 1rem;
        }

        /* Buttons */
        .btn {
            padding: 0.75rem 1.5rem;
            border-radius: 0.5rem; /* rounded-lg */
            font-weight: 600;
            border: none;
            cursor: pointer;
            transition: transform 0.2s, background-color 0.2s;
            display: inline-flex;
            align-items: center;
            justify-content: center;
        }
        .btn:hover {
            transform: scale(1.05);
        }
        .btn:disabled {
            opacity: 0.5;
            cursor: not-allowed;
        }
        .btn-primary {
            background-color: #9333ea; /* bg-purple-600 */
            color: white;
        }
        .btn-primary:hover:not(:disabled) {
            background-color: #7e22ce; /* hover:bg-purple-700 */
        }
        .btn-gradient {
            background-image: linear-gradient(to right, #a855f7, #ec4899); /* from-purple-500 to-pink-500 */
            color: white;
            font-size: 1.125rem; /* text-lg */
        }
        .btn-gradient:hover:not(:disabled) {
            background-image: linear-gradient(to right, #9333ea, #db2777); /* hover:from-purple-600 hover:to-pink-600 */
        }
        .btn-secondary {
            background-color: #4b5563; /* bg-gray-600 */
            color: white;
        }
        .btn-secondary:hover:not(:disabled) {
            background-color: #374151; /* hover:bg-gray-700 */
        }

        /* Image Grid */
        .image-grid {
            display: grid;
            grid-template-columns: 1fr;
            gap: 1.5rem;
        }
        @media (min-width: 768px) {
            .image-grid {
                grid-template-columns: repeat(3, 1fr);
            }
        }

        /* Image Card */
        .image-card {
            background-color: #1f2937; /* bg-gray-800 */
            padding: 1rem;
            border-radius: 0.5rem; /* rounded-lg */
            display: flex;
            flex-direction: column;
            justify-content: space-between;
            text-align: center;
        }
        .image-card h3 {
            font-weight: 700;
            font-size: 1.125rem; /* text-lg */
            margin-bottom: 0.5rem;
        }
        .image-placeholder {
            aspect-ratio: 1 / 1;
            background-color: #111827; /* bg-gray-900 */
            border-radius: 0.25rem; /* rounded-md */
            display: flex;
            align-items: center;
            justify-content: center;
            overflow: hidden;
            color: #6b7280; /* text-gray-500 */
        }
        .image-card img {
            width: 100%;
            height: 100%;
            object-fit: contain;
        }
        .image-info {
            margin-top: 1rem;
            height: 1.5rem; /* h-6 */
        }
        .image-size-badge {
            font-family: monospace;
            background-color: rgba(55, 65, 81, 0.5); /* bg-gray-700/50 */
            border-radius: 9999px; /* rounded-full */
            padding: 0.25rem 0.75rem;
            display: inline-block;
            font-size: 0.875rem; /* text-sm */
        }

        /* Controls Section */
        .controls-section {
            margin-top: 2rem;
            padding-top: 1.5rem;
            border-top: 1px solid #374151; /* border-gray-700 */
        }
        .controls-layout {
            display: flex;
            flex-direction: column;
            align-items: center;
            justify-content: space-between;
            gap: 1.5rem;
        }
        @media (min-width: 768px) {
            .controls-layout {
                flex-direction: row;
                gap: 1rem;
            }
        }
        .slider-container {
            width: 100%;
        }
        @media (min-width: 768px) {
            .slider-container {
                width: 50%;
            }
        }
        .slider-container label {
            display: block;
            margin-bottom: 0.5rem;
            font-weight: 500;
            color: #d1d5db; /* text-gray-300 */
        }
        .slider {
            width: 100%;
        }
        .button-group {
            display: flex;
            gap: 1rem;
        }
        .error-message {
            color: #f87171; /* text-red-400 */
            text-align: center;
            margin-top: 1rem;
        }

        .hidden-input {
            display: none;
        }

        /* Spinner Animation */
        @keyframes spin {
            from { transform: rotate(0deg); }
            to { transform: rotate(360deg); }
        }
        .spinner {
            animation: spin 1s linear infinite;
            width: 1.25rem;
            height: 1.25rem;
            margin-right: 0.75rem;
        }
        .spinner-wrapper{
            display: flex;
            flex-direction: column;
            align-items: center;
        }
    </style>
</head>
<body>

    <div id="root">
        <!-- App will be rendered here by JavaScript -->
    </div>

    <script>
        // --- STATE MANAGEMENT ---
        let state = {
            originalImage: null,
            originalImageURL: '',
            compressedImageURL: '',
            superResolvedImageURL: '',
            compressionLevel: 95,
            isLoading: false,
            originalSize: 0,
            compressedSize: 0,
            error: '',
        };

        // --- UTILITY FUNCTIONS ---
        const formatBytes = (bytes) => {
            if (!bytes || bytes === 0) return '0 Bytes';
            const k = 1024;
            const sizes = ['Bytes', 'KB', 'MB', 'GB'];
            const i = Math.floor(Math.log(bytes) / Math.log(k));
            return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i];
        };

        // --- API CALL ---
        async function callSuperResolutionAPI(base64ImageData) {
            const apiKey = ""; // Canvas will provide key if needed
            const apiUrl = `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image-preview:generateContent?key=${apiKey}`;

            const payload = {
                contents: [{
                    parts: [
                        { text: "Act as an expert image restoration AI. You will be given a tiny, heavily compressed, low-quality image. Your task is to perform super-resolution to restore it to a high-quality, detailed photograph. Reconstruct missing details, sharpen features, and fix compression artifacts to make it look like a real, high-resolution photo. Do not add any new elements not present in the original, just enhance what is there." },
                        { inlineData: { mimeType: "image/jpeg", data: base64ImageData } }
                    ]
                }],
                generationConfig: {
                    responseModalities: ['IMAGE']
                },
            };

            try {
                const response = await fetch(apiUrl, {
                    method: 'POST',
                    headers: { 'Content-Type': 'application/json' },
                    body: JSON.stringify(payload)
                });
                if (!response.ok) {
                    const errorBody = await response.text();
                    console.error("API Error Response:", errorBody);
                    throw new Error(`API request failed with status ${response.status}`);
                }
                const result = await response.json();
                const base64Data = result?.candidates?.[0]?.content?.parts?.find(p => p.inlineData)?.inlineData?.data;
                if (base64Data) {
                    state.superResolvedImageURL = `data:image/png;base64,${base64Data}`;
                } else {
                    console.error("No image data found in API response body:", result);
                    throw new Error("No image data found in API response.");
                }
            } catch (error) {
                console.error("Error in API call:", error);
                state.error = "Failed to get response from the AI model. Please try again.";
            } finally {
                state.isLoading = false;
                renderApp(); // Re-render the app to show the final result or error
            }
        }

        // --- EVENT HANDLERS ---
        function handleImageUpload(event) {
            const file = event.target.files[0];
            if (file) {
                if (!file.type.startsWith('image/')) {
                    state.error = 'Please upload a valid image file.';
                    renderApp();
                    return;
                }
                state.error = '';
                state.originalImage = file;
                state.originalImageURL = URL.createObjectURL(file);
                state.originalSize = file.size;
                state.compressedImageURL = '';
                state.superResolvedImageURL = '';
                state.compressedSize = 0;
                renderApp();
            }
        }

        async function handleProcessImage() {
            if (!state.originalImage) {
                state.error = 'Please upload an image first.';
                renderApp();
                return;
            }
            state.isLoading = true;
            state.error = '';
            state.compressedImageURL = '';
            state.superResolvedImageURL = '';
            state.compressedSize = 0;
            renderApp(); // Show loading state

            const canvas = document.createElement('canvas');
            const ctx = canvas.getContext('2d');
            const img = new Image();
            img.src = state.originalImageURL;

            img.onload = async () => {
                const reductionFactor = (100 - state.compressionLevel) / 100;
                const newWidth = Math.max(1, img.width * reductionFactor);
                const newHeight = Math.max(1, img.height * reductionFactor);
                canvas.width = newWidth;
                canvas.height = newHeight;
                ctx.drawImage(img, 0, 0, newWidth, newHeight);

                const compressedDataURL = canvas.toDataURL('image/jpeg', 0.1);
                state.compressedImageURL = compressedDataURL;

                const compressedBlob = await (await fetch(compressedDataURL)).blob();
                state.compressedSize = compressedBlob.size;

                renderApp(); // Show compressed image while AI is working

                const base64ImageData = compressedDataURL.split(',')[1];
                await callSuperResolutionAPI(base64ImageData);
            };
            img.onerror = () => {
                state.error = 'Could not load the image for processing.';
                state.isLoading = false;
                renderApp();
            }
        }

        function handleSliderChange(event) {
            state.compressionLevel = Number(event.target.value);
            document.getElementById('compressionLevelLabel').textContent = `Compression Level (Size Reduction: ${state.compressionLevel}%)`;
        }

        // --- RENDERING LOGIC ---
        function getSpinnerHTML(isLarge = false) {
             const svg = `
                <svg class="spinner" style="${isLarge ? 'width: 2rem; height: 2rem;' : ''}" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
                    <circle style="opacity: 0.25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
                    <path style="opacity: 0.75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
                </svg>`;
            return isLarge ? `<div class="spinner-wrapper">${svg}</div>` : svg;
        }

        function getImageCardHTML(title, imageUrl, size, isLoading, isSuperResolved = false) {
            let content;
            if (isLoading) {
                content = `
                    <div class="spinner-wrapper">
                        ${getSpinnerHTML(true)}
                        <span style="margin-top: 0.5rem; font-size: 0.875rem; color: #9ca3af;">
                            ${isSuperResolved ? "AI is enhancing..." : "Compressing..."}
                        </span>
                    </div>`;
            } else if (imageUrl) {
                content = `<img src="${imageUrl}" alt="${title}" />`;
            } else {
                content = `<div>Output will appear here</div>`;
            }

            return `
                <div class="image-card">
                    <div>
                        <h3>${title}</h3>
                        <div class="image-placeholder">${content}</div>
                    </div>
                    <div class="image-info">
                        ${size > 0 ? `<p class="image-size-badge">${formatBytes(size)}</p>` : ''}
                    </div>
                </div>`;
        }

        function renderApp() {
            const root = document.getElementById('root');

            const uploadViewHTML = `
                <div class="upload-box">
                    <svg class="upload-icon" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor">
                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
                    </svg>
                    <h3>Upload an Image</h3>
                    <p>Drag & drop or click to select a file</p>
                    <button id="selectImageBtn" class="btn btn-primary">Select Image</button>
                </div>`;

            const resultsViewHTML = `
                 <div>
                    <div class="image-grid">
                        ${getImageCardHTML('Original', state.originalImageURL, state.originalSize)}
                        ${getImageCardHTML('Compressed', state.compressedImageURL, state.compressedSize, state.isLoading && !state.compressedImageURL)}
                        ${getImageCardHTML('AI Super-Resolved', state.superResolvedImageURL, 0, state.isLoading && state.compressedImageURL && !state.superResolvedImageURL, true)}
                    </div>
                    <div class="controls-section">
                        <div class="controls-layout">
                            <div class="slider-container">
                                <label id="compressionLevelLabel" for="compressionLevel">Compression Level (Size Reduction: ${state.compressionLevel}%)</label>
                                <input id="compressionLevel" type="range" min="0" max="100" value="${state.compressionLevel}" class="slider" ${state.isLoading ? 'disabled' : ''}>
                            </div>
                            <div class="button-group">
                                <button id="changeImageBtn" class="btn btn-secondary" ${state.isLoading ? 'disabled' : ''}>Change Image</button>
                                <button id="processImageBtn" class="btn btn-gradient" ${state.isLoading ? 'disabled' : ''}>
                                    ${state.isLoading ? `${getSpinnerHTML()} Processing...` : 'Compress & Enhance'}
                                </button>
                            </div>
                        </div>
                        ${state.error ? `<p class="error-message">${state.error}</p>` : ''}
                    </div>
                </div>`;

            const appHTML = `
                <div class="app-container">
                    <div class="content-wrapper">
                        <header class="app-header">
                            <h1 class="app-title">AI Super Resolution Compressor</h1>
                            <p class="app-subtitle">Drastically compress your images, then use ML to restore them.</p>
                        </header>
                        <main class="main-content">
                             ${!state.originalImage ? uploadViewHTML : resultsViewHTML}
                             <input type="file" id="fileInput" class="hidden-input" accept="image/*">
                        </main>
                    </div>
                </div>`;

            root.innerHTML = appHTML;

            // --- ADD EVENT LISTENERS ---
            const fileInput = document.getElementById('fileInput');
            fileInput.addEventListener('change', handleImageUpload);

            if (!state.originalImage) {
                document.getElementById('selectImageBtn').addEventListener('click', () => fileInput.click());
            } else {
                document.getElementById('changeImageBtn').addEventListener('click', () => fileInput.click());
                document.getElementById('processImageBtn').addEventListener('click', handleProcessImage);
                document.getElementById('compressionLevel').addEventListener('input', handleSliderChange);
            }
        }

        // --- INITIAL RENDER ---
        document.addEventListener('DOMContentLoaded', renderApp);
    </script>
</body>
</html>