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batik-classifier

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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>Batik Classifier - Test Web Interface</title>
    <style>
        * {
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }
        
        body {
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            min-height: 100vh;
            display: flex;
            justify-content: center;
            align-items: center;
            padding: 20px;
        }
        
        .container {
            background: white;
            border-radius: 20px;
            padding: 40px;
            max-width: 600px;
            width: 100%;
            box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3);
        }
        
        h1 {
            text-align: center;
            color: #333;
            margin-bottom: 10px;
        }
        
        .subtitle {
            text-align: center;
            color: #666;
            margin-bottom: 30px;
        }
        
        .upload-area {
            border: 3px dashed #667eea;
            border-radius: 10px;
            padding: 40px;
            text-align: center;
            cursor: pointer;
            transition: all 0.3s;
            margin-bottom: 20px;
        }
        
        .upload-area:hover {
            border-color: #764ba2;
            background: #f8f9ff;
        }
        
        .upload-area.dragover {
            background: #e8ecff;
            border-color: #5568d3;
        }
        
        input[type="file"] {
            display: none;
        }
        
        .upload-icon {
            font-size: 48px;
            margin-bottom: 10px;
        }
        
        .btn {
            width: 100%;
            padding: 15px;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            color: white;
            border: none;
            border-radius: 10px;
            font-size: 16px;
            font-weight: bold;
            cursor: pointer;
            transition: transform 0.2s;
        }
        
        .btn:hover {
            transform: translateY(-2px);
        }
        
        .btn:disabled {
            opacity: 0.6;
            cursor: not-allowed;
        }
        
        .preview {
            text-align: center;
            margin: 20px 0;
        }
        
        .preview img {
            max-width: 100%;
            max-height: 300px;
            border-radius: 10px;
            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
        }
        
        .result {
            margin-top: 20px;
            padding: 20px;
            background: #f8f9ff;
            border-radius: 10px;
            display: none;
        }
        
        .result.show {
            display: block;
        }
        
        .prediction {
            font-size: 24px;
            font-weight: bold;
            color: #667eea;
            margin-bottom: 10px;
        }
        
        .confidence {
            font-size: 18px;
            color: #666;
            margin-bottom: 20px;
        }
        
        .top-predictions {
            margin-top: 20px;
        }
        
        .top-predictions h3 {
            margin-bottom: 10px;
            color: #333;
        }
        
        .pred-item {
            display: flex;
            justify-content: space-between;
            padding: 10px;
            background: white;
            border-radius: 5px;
            margin-bottom: 5px;
        }
        
        .loading {
            text-align: center;
            display: none;
        }
        
        .loading.show {
            display: block;
        }
        
        .spinner {
            border: 4px solid #f3f3f3;
            border-top: 4px solid #667eea;
            border-radius: 50%;
            width: 40px;
            height: 40px;
            animation: spin 1s linear infinite;
            margin: 20px auto;
        }
        
        @keyframes spin {
            0% { transform: rotate(0deg); }
            100% { transform: rotate(360deg); }
        }
        
        .error {
            color: #e74c3c;
            background: #ffe8e8;
            padding: 15px;
            border-radius: 10px;
            margin-top: 20px;
            display: none;
        }
        
        .error.show {
            display: block;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>🎨 Batik Classifier</h1>
        <p class="subtitle">AI-Powered Batik Motif Recognition (95% Accuracy)</p>
        
        <div class="upload-area" id="uploadArea">
            <div class="upload-icon">📸</div>
            <p><strong>Click to upload</strong> or drag and drop</p>
            <p style="font-size: 14px; color: #999; margin-top: 5px;">PNG, JPG up to 10MB</p>
            <input type="file" id="fileInput" accept="image/*">
        </div>
        
        <div class="preview" id="preview"></div>
        
        <button class="btn" id="predictBtn" disabled>🔍 Analyze Batik</button>
        
        <div class="loading" id="loading">
            <div class="spinner"></div>
            <p>Analyzing image...</p>
        </div>
        
        <div class="error" id="error"></div>
        
        <div class="result" id="result">
            <div class="prediction">
                <span id="predictionText"></span>
            </div>
            <div class="confidence">
                Confidence: <strong id="confidenceText"></strong>
            </div>
            <div class="top-predictions">
                <h3>📊 Top 5 Predictions:</h3>
                <div id="topPredictions"></div>
            </div>
        </div>
    </div>
    
    <script>
        const API_URL = 'http://192.168.0.106:5000';
        
        const uploadArea = document.getElementById('uploadArea');
        const fileInput = document.getElementById('fileInput');
        const predictBtn = document.getElementById('predictBtn');
        const preview = document.getElementById('preview');
        const loading = document.getElementById('loading');
        const result = document.getElementById('result');
        const error = document.getElementById('error');
        
        let selectedFile = null;
        
        // Click to upload
        uploadArea.addEventListener('click', () => fileInput.click());
        
        // File selection
        fileInput.addEventListener('change', (e) => {
            const file = e.target.files[0];
            if (file) {
                handleFile(file);
            }
        });
        
        // Drag and drop
        uploadArea.addEventListener('dragover', (e) => {
            e.preventDefault();
            uploadArea.classList.add('dragover');
        });
        
        uploadArea.addEventListener('dragleave', () => {
            uploadArea.classList.remove('dragover');
        });
        
        uploadArea.addEventListener('drop', (e) => {
            e.preventDefault();
            uploadArea.classList.remove('dragover');
            const file = e.dataTransfer.files[0];
            if (file && file.type.startsWith('image/')) {
                handleFile(file);
            }
        });
        
        // Handle file
        function handleFile(file) {
            selectedFile = file;
            
            // Show preview
            const reader = new FileReader();
            reader.onload = (e) => {
                preview.innerHTML = `<img src="${e.target.result}" alt="Preview">`;
            };
            reader.readAsDataURL(file);
            
            // Enable predict button
            predictBtn.disabled = false;
            
            // Hide previous results
            result.classList.remove('show');
            error.classList.remove('show');
        }
        
        // Predict
        predictBtn.addEventListener('click', async () => {
            if (!selectedFile) return;
            
            // Show loading
            loading.classList.add('show');
            result.classList.remove('show');
            error.classList.remove('show');
            predictBtn.disabled = true;
            
            try {
                const formData = new FormData();
                formData.append('image', selectedFile);
                
                const response = await fetch(`${API_URL}/predict`, {
                    method: 'POST',
                    body: formData
                });
                
                const data = await response.json();
                
                if (data.success) {
                    // Show result
                    document.getElementById('predictionText').textContent = data.prediction;
                    document.getElementById('confidenceText').textContent = data.percentage;
                    
                    const topPredDiv = document.getElementById('topPredictions');
                    topPredDiv.innerHTML = data.top_5_predictions.map((pred, idx) => `
                        <div class="pred-item">
                            <span>${idx + 1}. ${pred.class}</span>
                            <strong>${pred.percentage}</strong>
                        </div>
                    `).join('');
                    
                    result.classList.add('show');
                } else {
                    error.textContent = data.error || 'Prediction failed';
                    error.classList.add('show');
                }
            } catch (err) {
                error.textContent = `Error: ${err.message}. Make sure the API server is running.`;
                error.classList.add('show');
            } finally {
                loading.classList.remove('show');
                predictBtn.disabled = false;
            }
        });
    </script>
</body>
</html>