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7.99 kB
| from fastapi import FastAPI | |
| from fastapi.responses import HTMLResponse | |
| from pathlib import Path | |
| from .routes import app | |
| async def root(): | |
| """Serve an interactive demo page with visualizations.""" | |
| ui_path = Path(__file__).parent / "enhanced_ui.html" | |
| with open(ui_path, 'r') as f: | |
| return f.read() | |
| async def simple_demo(): | |
| """Serve the original simple demo page.""" | |
| return """ | |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Context-Aware Profanity Handler - Interactive Demo</title> | |
| <style> | |
| body { | |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; | |
| max-width: 900px; | |
| margin: 40px auto; | |
| padding: 20px; | |
| background: #f5f5f5; | |
| } | |
| .container { | |
| background: white; | |
| padding: 30px; | |
| border-radius: 8px; | |
| box-shadow: 0 2px 4px rgba(0,0,0,0.1); | |
| } | |
| h1 { | |
| color: #2c3e50; | |
| border-bottom: 3px solid #3498db; | |
| padding-bottom: 10px; | |
| } | |
| .input-group { | |
| margin: 20px 0; | |
| } | |
| label { | |
| display: block; | |
| margin-bottom: 5px; | |
| font-weight: 600; | |
| color: #34495e; | |
| } | |
| textarea, select { | |
| width: 100%; | |
| padding: 10px; | |
| border: 1px solid #ddd; | |
| border-radius: 4px; | |
| font-size: 14px; | |
| box-sizing: border-box; | |
| } | |
| textarea { | |
| min-height: 100px; | |
| resize: vertical; | |
| } | |
| button { | |
| background: #3498db; | |
| color: white; | |
| padding: 12px 30px; | |
| border: none; | |
| border-radius: 4px; | |
| cursor: pointer; | |
| font-size: 16px; | |
| font-weight: 600; | |
| } | |
| button:hover { | |
| background: #2980b9; | |
| } | |
| .result { | |
| margin-top: 20px; | |
| padding: 20px; | |
| border-radius: 4px; | |
| display: none; | |
| } | |
| .result.safe { | |
| background: #d4edda; | |
| border: 1px solid #c3e6cb; | |
| color: #155724; | |
| } | |
| .result.warning { | |
| background: #fff3cd; | |
| border: 1px solid #ffeeba; | |
| color: #856404; | |
| } | |
| .result.error { | |
| background: #f8d7da; | |
| border: 1px solid #f5c6cb; | |
| color: #721c24; | |
| } | |
| .example { | |
| background: #e8f4f8; | |
| padding: 15px; | |
| border-radius: 4px; | |
| margin: 20px 0; | |
| border-left: 4px solid #3498db; | |
| } | |
| .example h3 { | |
| margin-top: 0; | |
| color: #2c3e50; | |
| } | |
| .badge { | |
| display: inline-block; | |
| padding: 4px 8px; | |
| border-radius: 3px; | |
| font-size: 12px; | |
| font-weight: 600; | |
| margin-right: 5px; | |
| } | |
| .badge.safe { background: #d4edda; color: #155724; } | |
| .badge.mild { background: #fff3cd; color: #856404; } | |
| .badge.explicit { background: #f8d7da; color: #721c24; } | |
| .badge.slur { background: #f5c6cb; color: #721c24; } | |
| .badge.threat { background: #f5c6cb; color: #721c24; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>🧩 Context-Aware Profanity Handler</h1> | |
| <p>A demonstration of context-aware profanity detection and handling for AI-assisted reporting.</p> | |
| <div class="example"> | |
| <h3>💡 Example Use Case</h3> | |
| <p><strong>Input:</strong> "Report on asset: <em>Do You Want to F*** Me Tonight</em>"</p> | |
| <p><strong>Context:</strong> Song Title (Entity Name)</p> | |
| <p><strong>Expected Result:</strong> Detected but allowed, with transparent feedback about safe rendering.</p> | |
| </div> | |
| <div class="input-group"> | |
| <label for="text">Text to Analyze:</label> | |
| <textarea id="text" placeholder="Enter text here, e.g., a song title, brand name, or user input...">Report on asset: Do You Want to Fuck Me Tonight</textarea> | |
| </div> | |
| <div class="input-group"> | |
| <label for="context">Content Category:</label> | |
| <select id="context"> | |
| <option value="song_title">Song Title</option> | |
| <option value="entity_name">Entity Name</option> | |
| <option value="brand_name">Brand Name</option> | |
| <option value="user_input">User Input</option> | |
| </select> | |
| </div> | |
| <div class="input-group"> | |
| <label> | |
| <input type="checkbox" id="strict_mode"> Strict Mode | |
| </label> | |
| </div> | |
| <button onclick="analyzeText()">Analyze Text</button> | |
| <div id="result" class="result"></div> | |
| </div> | |
| <script> | |
| async function analyzeText() { | |
| const text = document.getElementById('text').value; | |
| const context = document.getElementById('context').value; | |
| const strict_mode = document.getElementById('strict_mode').checked; | |
| const resultDiv = document.getElementById('result'); | |
| resultDiv.style.display = 'none'; | |
| try { | |
| const response = await fetch('/analyze', { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| }, | |
| body: JSON.stringify({ text, context, strict_mode }) | |
| }); | |
| const data = await response.json(); | |
| let className = 'safe'; | |
| if (data.toxicity_level === 'explicit' || data.toxicity_level === 'slur' || data.toxicity_level === 'threat') { | |
| className = 'error'; | |
| } else if (data.toxicity_level === 'mild') { | |
| className = 'warning'; | |
| } | |
| resultDiv.className = 'result ' + className; | |
| resultDiv.innerHTML = ` | |
| <h3>Analysis Results</h3> | |
| <p><strong>Profanity Detected:</strong> ${data.contains_profanity ? 'Yes' : 'No'}</p> | |
| <p><strong>Toxicity Level:</strong> <span class="badge ${data.toxicity_level}">${data.toxicity_level.toUpperCase()}</span></p> | |
| <p><strong>Message:</strong> ${data.message}</p> | |
| <hr> | |
| <p><strong>Original Text:</strong><br><code>${text}</code></p> | |
| <p><strong>Safe Text:</strong><br><code>${data.safe_text}</code></p> | |
| `; | |
| resultDiv.style.display = 'block'; | |
| } catch (error) { | |
| resultDiv.className = 'result error'; | |
| resultDiv.innerHTML = `<p>Error: ${error.message}</p>`; | |
| resultDiv.style.display = 'block'; | |
| } | |
| } | |
| </script> | |
| </body> | |
| </html> | |
| """ | |
| if __name__ == "__main__": | |
| import uvicorn | |
| uvicorn.run(app, host="0.0.0.0", port=8000) | |