DeepFakeDetectionAI/index.html at main · varshavkumar12345/DeepFakeDetectionAI · 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>Deepfake Detector</title>
    <style>
        body {
            font-family: 'Poppins', sans-serif;
            background: linear-gradient(135deg, #2b5876, #4e4376);
            text-align: center;
            margin: 0;
            padding: 0;
            color: white;
        }
        .container {
            width: 40%;
            margin: auto;
            background: rgba(255, 255, 255, 0.15);
            backdrop-filter: blur(10px);
            padding: 30px;
            box-shadow: 0px 0px 20px rgba(0, 0, 0, 0.2);
            border-radius: 12px;
            margin-top: 80px;
            transition: 0.3s;
        }
        h1 {
            color: #fff;
            font-size: 26px;
        }
        input[type="file"] {
            margin: 20px 0;
            border: none;
            padding: 10px;
            background: white;
            border-radius: 6px;
            cursor: pointer;
        }
        button {
            background: linear-gradient(135deg, #ff416c, #ff4b2b);
            color: white;
            border: none;
            padding: 12px 24px;
            cursor: pointer;
            font-size: 16px;
            font-weight: bold;
            border-radius: 6px;
            transition: 0.3s;
            margin-top: 15px;
        }
        button:hover {
            background: linear-gradient(135deg, #ff4b2b, #ff416c);
            transform: scale(1.05);
        }
        #result, #uploadMessage {
            margin-top: 20px;
            font-size: 18px;
            font-weight: bold;
            color: white;
            text-shadow: 1px 1px 5px rgba(0, 0, 0, 0.2);
            padding: 10px;
            border-radius: 8px;
        }
        .loading-spinner {
            display: none;
            width: 35px;
            height: 35px;
            border: 4px solid rgba(255, 255, 255, 0.3);
            border-top: 4px solid #fff;
            border-radius: 50%;
            animation: spin 1s linear infinite;
            margin: 15px auto;
        }
        @keyframes spin {
            0% { transform: rotate(0deg); }
            100% { transform: rotate(360deg); }
        }
        img, video {
            max-width: 100%;
            height: auto;
            margin-top: 15px;
            border-radius: 8px;
            display: none;
            box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.2);
        }
        .result-box {
            background: rgba(255, 255, 255, 0.2);
            padding: 10px;
            border-radius: 8px;
            display: inline-block;
            margin-top: 10px;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>🔍 Deepfake Detector</h1>
        <input type="file" id="fileInput" accept="image/*,video/*" onchange="displayUploadMessage()">
        <p id="uploadMessage" style="display: none; color: #00ff00;">✔ File uploaded successfully!</p>
        <button onclick="uploadFile()">Upload & Analyze</button>
        <div class="loading-spinner" id="loadingSpinner"></div>
        <p id="result"></p>
        <img id="previewImage" />
        <video id="previewVideo" controls></video>
    </div>

    <script>
        function displayUploadMessage() {
            document.getElementById('uploadMessage').style.display = 'block';
        }

        function uploadFile() {
            const fileInput = document.getElementById('fileInput');
            const resultText = document.getElementById('result');
            const previewImage = document.getElementById('previewImage');
            const previewVideo = document.getElementById('previewVideo');
            const loadingSpinner = document.getElementById('loadingSpinner');

            if (fileInput.files.length === 0) {
                alert("📂 Please select a file to analyze.");
                return;
            }

            const file = fileInput.files[0];
            const formData = new FormData();
            formData.append("file", file);

            if (file.type.startsWith("image")) {
                const reader = new FileReader();
                reader.onload = function(e) {
                    previewImage.src = e.target.result;
                    previewImage.style.display = "block";
                    previewVideo.style.display = "none";
                }
                reader.readAsDataURL(file);
            } else if (file.type.startsWith("video")) {
                const reader = new FileReader();
                reader.onload = function(e) {
                    previewVideo.src = e.target.result;
                    previewVideo.style.display = "block";
                    previewImage.style.display = "none";
                }
                reader.readAsDataURL(file);
            }

            resultText.innerText = "";
            resultText.style.display = "none";
            loadingSpinner.style.display = "block";

            fetch("http://localhost:5000/processing_", {
                method: "POST",
                body: formData
            })
            .then(response => response.json())
            .then(data => {
                loadingSpinner.style.display = "none";
                resultText.style.display = "block";

                if (data.error) {
                    resultText.innerHTML = `<div class="result-box" style="color: red;">❌ Error: ${data.error}</div>`;
                } else if (data.deepfake_percentage) {
                    resultText.innerHTML = `
                        <div class="result-box">
                            <strong>Deepfake Probability: ${data.deepfake_percentage}%</strong><br>
                            🎞 Frames Analyzed: ${data.total_frames_analyzed}<br>
                            ✅ Real: ${data.real_frames} | ❌ Fake: ${data.fake_frames}
                        </div>
                    `;
                } else {
                    resultText.innerHTML = `<div class="result-box" style="color: #28a745;">✅ ${data.message}</div>`;
                }
            })
            .catch(error => {
                loadingSpinner.style.display = "none";
                resultText.style.display = "block";
                resultText.innerHTML = `<div class="result-box" style="color: red;">⚠️ An error occurred. Please try again.</div>`;
            });
        }
    </script>
</body>
</html>