DocInsight/streamlit_interface_preview.html at main · VedantKothari01/DocInsight · 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>DocInsight - Streamlit Interface Preview</title>
    <style>
        body {
            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
            margin: 0;
            padding: 20px;
            background-color: #fafafa;
        }
        .container {
            max-width: 1200px;
            margin: 0 auto;
            background: white;
            border-radius: 8px;
            box-shadow: 0 2px 10px rgba(0,0,0,0.1);
            padding: 20px;
        }
        .header {
            text-align: center;
            color: #262730;
            border-bottom: 2px solid #ff4b4b;
            padding-bottom: 20px;
            margin-bottom: 30px;
        }
        .upload-area {
            border: 2px dashed #ccc;
            border-radius: 8px;
            padding: 40px;
            text-align: center;
            margin: 20px 0;
            background: #f8f9fa;
        }
        .metrics-grid {
            display: grid;
            grid-template-columns: repeat(4, 1fr);
            gap: 20px;
            margin: 20px 0;
        }
        .metric-card {
            background: #fff;
            border: 1px solid #e0e6ed;
            border-radius: 8px;
            padding: 20px;
            text-align: center;
            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
        }
        .metric-label {
            font-size: 14px;
            color: #666;
            margin-bottom: 8px;
        }
        .metric-value {
            font-size: 24px;
            font-weight: bold;
            color: #262730;
        }
        .risk-high { color: #ff4b4b; }
        .risk-medium { color: #ffa500; }
        .risk-low { color: #00cc88; }
        .section {
            margin: 30px 0;
            padding: 20px;
            border: 1px solid #e0e6ed;
            border-radius: 8px;
        }
        .section h3 {
            margin-top: 0;
            color: #262730;
        }
        .sentence-item {
            padding: 15px;
            margin: 10px 0;
            border-radius: 5px;
            border-left: 4px solid;
        }
        .sentence-high {
            background-color: #ffebee;
            border-left-color: #ff4b4b;
        }
        .sentence-medium {
            background-color: #fff8e1;
            border-left-color: #ffa500;
        }
        .sentence-low {
            background-color: #e8f5e8;
            border-left-color: #00cc88;
        }
        .sidebar {
            background: #f0f2f6;
            padding: 20px;
            border-radius: 8px;
            margin-top: 20px;
        }
        .download-buttons {
            display: flex;
            gap: 10px;
            margin: 20px 0;
        }
        .download-btn {
            background: #ff4b4b;
            color: white;
            padding: 10px 20px;
            border: none;
            border-radius: 5px;
            cursor: pointer;
        }
        .download-btn:hover {
            background: #e04343;
        }
    </style>
</head>
<body>
    <div class="container">
        <div class="header">
            <h1>📄 DocInsight - Document Originality Analysis</h1>
            <p>Upload a document to analyze its originality and detect potential plagiarism.</p>
        </div>

        <div class="upload-area">
            <h3>Choose a document to analyze</h3>
            <p>Supported formats: PDF, DOCX, TXT</p>
            <p>📁 Drag and drop file here or click to browse</p>
        </div>

        <div style="background: #d4edda; border: 1px solid #c3e6cb; border-radius: 5px; padding: 15px; margin: 20px 0;">
            <strong>✅ Analysis completed!</strong>
        </div>

        <div class="section">
            <h3>📊 Originality Analysis</h3>
            <div class="metrics-grid">
                <div class="metric-card">
                    <div class="metric-label">Originality Score</div>
                    <div class="metric-value risk-medium">73.2%</div>
                </div>
                <div class="metric-card">
                    <div class="metric-label">Plagiarized Coverage</div>
                    <div class="metric-value risk-medium">26.8%</div>
                </div>
                <div class="metric-card">
                    <div class="metric-label">Severity Index</div>
                    <div class="metric-value">0.412</div>
                </div>
                <div class="metric-card">
                    <div class="metric-label">Total Sentences</div>
                    <div class="metric-value">45</div>
                </div>
            </div>
        </div>

        <div style="display: grid; grid-template-columns: 1fr 2fr; gap: 20px;">
            <div class="section">
                <h3>📈 Risk Distribution</h3>
                <div style="display: grid; grid-template-columns: 1fr; gap: 10px;">
                    <div class="metric-card">
                        <div class="metric-label">🔴 High Risk</div>
                        <div class="metric-value risk-high">3</div>
                    </div>
                    <div class="metric-card">
                        <div class="metric-label">🟡 Medium Risk</div>
                        <div class="metric-value risk-medium">8</div>
                    </div>
                    <div class="metric-card">
                        <div class="metric-label">🟢 Low Risk</div>
                        <div class="metric-value risk-low">34</div>
                    </div>
                </div>
            </div>

            <div class="section">
                <h3>⚠️ Top 2 Risk Spans</h3>
                <div style="border: 1px solid #ff4b4b; border-radius: 5px; padding: 15px; margin: 10px 0;">
                    <strong>🔴 Risk Span 1 - HIGH (Score: 0.823)</strong>
                    <p><strong>Preview:</strong> Machine learning algorithms have revolutionized the field of artificial intelligence by enabling computers to learn patterns from data...</p>
                    <p><strong>Details:</strong> Sentences: 3 | Token count: 127 | Position: 15-17</p>
                </div>
                <div style="border: 1px solid #ffa500; border-radius: 5px; padding: 15px; margin: 10px 0;">
                    <strong>🟡 Risk Span 2 - MEDIUM (Score: 0.567)</strong>
                    <p><strong>Preview:</strong> Deep neural networks consist of multiple layers of interconnected nodes that process information...</p>
                    <p><strong>Details:</strong> Sentences: 5 | Token count: 203 | Position: 22-26</p>
                </div>
            </div>
        </div>

        <div class="section">
            <h3>📝 Sentence Analysis Details</h3>
            <div>
                <label>Filter by risk level: <select><option>All</option><option>HIGH</option><option>MEDIUM</option><option>LOW</option></select></label>
                <label style="margin-left: 20px;"><input type="checkbox"> Show detailed scores</label>
            </div>

            <div class="sentence-item sentence-high">
                <strong>🔴 Sentence 1 (HIGH)</strong><br>
                Machine learning is a subset of artificial intelligence that focuses on algorithms capable of learning from data.
                <br><br>
                <strong>Most similar:</strong> Machine learning algorithms are a type of artificial intelligence that can learn patterns from large datasets.
                <br><strong>Confidence:</strong> 0.847
            </div>

            <div class="sentence-item sentence-medium">
                <strong>🟡 Sentence 2 (MEDIUM)</strong><br>
                These algorithms can identify patterns and make predictions without being explicitly programmed for each task.
                <br><br>
                <strong>Most similar:</strong> Such algorithms can detect patterns and generate predictions without explicit programming.
                <br><strong>Confidence:</strong> 0.623
            </div>

            <div class="sentence-item sentence-low">
                <strong>🟢 Sentence 3 (LOW)</strong><br>
                The implementation of our novel approach involves several innovative preprocessing steps.
                <br><br>
                <strong>Most similar:</strong> Data preprocessing is an important step in machine learning pipelines.
                <br><strong>Confidence:</strong> 0.234
            </div>
        </div>

        <div class="section">
            <h3>📥 Download Reports</h3>
            <div class="download-buttons">
                <button class="download-btn">📄 Download HTML Report</button>
                <button class="download-btn">📊 Download JSON Report</button>
            </div>
        </div>

        <div class="sidebar">
            <h3>ℹ️ About DocInsight</h3>
            <p><strong>🔍 Multi-layer Analysis:</strong></p>
            <ul>
                <li>Semantic similarity search</li>
                <li>Cross-encoder reranking</li>
                <li>Stylometric feature comparison</li>
            </ul>

            <p><strong>📊 Document-level Metrics:</strong></p>
            <ul>
                <li>Originality score (0-100%)</li>
                <li>Plagiarized content coverage</li>
                <li>Risk span clustering</li>
                <li>Severity assessment</li>
            </ul>

            <p><strong>🎯 Risk Classification:</strong></p>
            <ul>
                <li>🔴 <strong>High Risk:</strong> Likely plagiarized content</li>
                <li>🟡 <strong>Medium Risk:</strong> Potentially similar content</li>
                <li>🟢 <strong>Low Risk:</strong> Original content</li>
            </ul>
        </div>
    </div>
</body>
</html>