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Create index.html
Browse files- index.html +116 -0
index.html
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| 1 |
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<!DOCTYPE html>
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<html>
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<head>
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<title>Deepfake Detection</title>
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<style>
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body { font-family: Arial, sans-serif; max-width: 600px; margin: 0 auto; padding: 20px; }
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.upload-container { border: 2px dashed #ccc; padding: 20px; text-align: center; margin-bottom: 20px; }
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#preview { max-width: 100%; margin-top: 10px; display: none; }
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#results { margin-top: 20px; padding: 15px; border-radius: 5px; display: none; }
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.real { background-color: #d4edda; color: #155724; }
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.fake { background-color: #f8d7da; color: #721c24; }
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.progress { display: none; margin: 10px 0; }
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</style>
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</head>
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<body>
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<h1>Deepfake Detection</h1>
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<p>Upload an image to check if it's real or AI-generated</p>
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<div class="upload-container">
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<input type="file" id="fileInput" accept="image/*">
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<p>or drag and drop image here</p>
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<img id="preview" alt="Image preview">
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</div>
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<div class="progress" id="progress">
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Analyzing image... <progress></progress>
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</div>
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<div id="results"></div>
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<script>
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const fileInput = document.getElementById('fileInput');
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const preview = document.getElementById('preview');
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const resultsDiv = document.getElementById('results');
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const progressDiv = document.getElementById('progress');
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fileInput.addEventListener('change', function(e) {
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const file = e.target.files[0];
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if (file) {
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handleFile(file);
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}
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});
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// Handle drag and drop
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document.addEventListener('dragover', function(e) {
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e.preventDefault();
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document.querySelector('.upload-container').style.borderColor = '#666';
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});
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document.addEventListener('dragleave', function() {
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document.querySelector('.upload-container').style.borderColor = '#ccc';
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});
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document.addEventListener('drop', function(e) {
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e.preventDefault();
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document.querySelector('.upload-container').style.borderColor = '#ccc';
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if (e.dataTransfer.files.length) {
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handleFile(e.dataTransfer.files[0]);
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}
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});
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function handleFile(file) {
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if (!file.type.match('image.*')) {
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alert('Please upload an image file');
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return;
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}
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// Show preview
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const reader = new FileReader();
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reader.onload = function(e) {
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preview.src = e.target.result;
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preview.style.display = 'block';
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analyzeImage(file);
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};
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reader.readAsDataURL(file);
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}
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async function analyzeImage(file) {
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progressDiv.style.display = 'block';
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resultsDiv.style.display = 'none';
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const formData = new FormData();
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formData.append('file', file);
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try {
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const response = await fetch('http://localhost:5000/detect', {
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method: 'POST',
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body: formData
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});
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const data = await response.json();
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if (data.error) {
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throw new Error(data.error);
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}
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// Display results
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resultsDiv.className = data.result.toLowerCase();
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resultsDiv.innerHTML = `
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<h2>Result: ${data.result} (${data.confidence}% confidence)</h2>
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| 101 |
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<p>Real probability: ${data.real_probability}%</p>
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| 102 |
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<p>Fake probability: ${data.fake_probability}%</p>
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`;
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resultsDiv.style.display = 'block';
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} catch (error) {
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resultsDiv.className = '';
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resultsDiv.innerHTML = `<p>Error: ${error.message}</p>`;
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resultsDiv.style.display = 'block';
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} finally {
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progressDiv.style.display = 'none';
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}
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}
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</script>
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</body>
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</html>
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