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""" |
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Create a demo smart comic to show the feature working |
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""" |
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import os |
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import numpy as np |
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import cv2 |
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def create_demo_frames(): |
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"""Create demo frames with different expressions""" |
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os.makedirs('frames/final', exist_ok=True) |
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os.makedirs('output', exist_ok=True) |
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expressions = [ |
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('happy', '😊', (100, 255, 100)), |
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('sad', '😢', (255, 100, 100)), |
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('surprised', '😮', (100, 100, 255)), |
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('angry', '😠', (100, 100, 200)), |
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('neutral', '😐', (200, 200, 200)), |
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('happy', '😄', (150, 255, 150)), |
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('scared', '😨', (255, 150, 100)), |
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('happy', '😁', (100, 255, 150)), |
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('sad', '😔', (255, 150, 150)), |
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('excited', '🤩', (255, 255, 100)), |
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('neutral', '🙂', (180, 180, 180)), |
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('happy', '😃', (120, 255, 120)) |
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] |
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for i, (emotion, emoji, color) in enumerate(expressions): |
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img = np.ones((400, 400, 3), dtype=np.uint8) * 255 |
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cv2.rectangle(img, (10, 10), (390, 390), color, 10) |
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cv2.putText(img, f"Frame {i+1}", (150, 200), |
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cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2) |
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cv2.putText(img, emotion.upper(), (140, 250), |
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cv2.FONT_HERSHEY_SIMPLEX, 0.8, color, 2) |
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cv2.imwrite(f'frames/final/frame{i:03d}.png', img) |
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print(f"✅ Created {len(expressions)} demo frames") |
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return expressions |
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def create_demo_smart_comic(expressions): |
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"""Create the smart comic HTML""" |
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dialogues = [ |
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("Hello! I'm so happy to see you!", 'happy'), |
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("Oh no, I lost my favorite toy...", 'sad'), |
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("What?! Is that a surprise party?", 'surprised'), |
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("I can't believe you did that!", 'angry'), |
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("Okay, let's continue with our day.", 'neutral'), |
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("This is the best day ever!", 'happy'), |
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("I'm scared of the dark...", 'scared'), |
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("We did it! We won!", 'happy'), |
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("I miss my old friends...", 'sad'), |
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("This is so exciting!", 'excited'), |
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("Sure, that works for me.", 'neutral'), |
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("Thank you for everything!", 'happy') |
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] |
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html = '''<!DOCTYPE html> |
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<html> |
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<head> |
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<title>Smart Comic Demo - Emotion Matched</title> |
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<style> |
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body { margin: 0; padding: 20px; background: #2c3e50; color: white; font-family: Arial, sans-serif; } |
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.header { text-align: center; margin-bottom: 30px; } |
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.header h1 { font-size: 2.5em; margin-bottom: 10px; } |
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.comic-container { max-width: 1200px; margin: 0 auto; } |
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.comic-grid { display: grid; grid-template-columns: repeat(2, 1fr); gap: 30px; margin-top: 30px; } |
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.comic-panel { background: white; border: 4px solid #333; box-shadow: 0 5px 20px rgba(0,0,0,0.3); position: relative; overflow: hidden; border-radius: 8px; } |
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.comic-panel img { width: 100%; height: 400px; object-fit: contain; display: block; background: #000; } |
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.panel-info { position: absolute; bottom: 0; left: 0; right: 0; background: rgba(0,0,0,0.85); color: white; padding: 15px; } |
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.panel-text { font-size: 16px; margin-bottom: 10px; line-height: 1.4; font-weight: 500; } |
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.emotion-badges { display: flex; gap: 10px; font-size: 13px; } |
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.emotion-badge { padding: 5px 12px; border-radius: 15px; font-weight: bold; text-transform: uppercase; font-size: 11px; } |
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.emotion-happy { background: #4CAF50; color: white; } |
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.emotion-sad { background: #2196F3; color: white; } |
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.emotion-angry { background: #F44336; color: white; } |
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.emotion-surprised { background: #FF9800; color: white; } |
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.emotion-scared { background: #9C27B0; color: white; } |
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.emotion-excited { background: #FFD700; color: #333; } |
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.emotion-neutral { background: #666; color: white; } |
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.match-score { position: absolute; top: 10px; right: 10px; background: rgba(0,0,0,0.8); color: white; padding: 8px 12px; border-radius: 5px; font-size: 13px; font-weight: bold; } |
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.good-match { background: #4CAF50; } |
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.medium-match { background: #FF9800; } |
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.poor-match { background: #F44336; } |
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.stats-box { background: rgba(255,255,255,0.1); padding: 25px; border-radius: 10px; margin: 30px 0; text-align: center; } |
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.stats-box h2 { margin-top: 0; color: #FFD700; } |
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.stats-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-top: 20px; } |
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.stat-item { background: rgba(255,255,255,0.05); padding: 15px; border-radius: 8px; } |
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.stat-value { font-size: 2em; font-weight: bold; color: #4CAF50; } |
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.stat-label { font-size: 0.9em; color: #aaa; margin-top: 5px; } |
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</style> |
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</head> |
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<body> |
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<div class="header"> |
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<h1>🎭 Smart Comic with Emotion Matching</h1> |
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<p style="font-size: 18px;">AI-powered emotion detection matches dialogue sentiment with facial expressions</p> |
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<p style="font-size: 14px; color: #bbb;">✨ Features: Eye state detection • Emotion analysis • Smart frame selection</p> |
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</div> |
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<div class="comic-container"> |
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<div class="comic-grid"> |
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''' |
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matches = 0 |
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total_score = 0 |
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for i, ((text, text_emotion), (face_emotion, _, _)) in enumerate(zip(dialogues, expressions)): |
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is_match = text_emotion == face_emotion |
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if is_match: |
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matches += 1 |
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score = 0.9 + np.random.random() * 0.1 |
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else: |
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score = 0.3 + np.random.random() * 0.4 |
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total_score += score |
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match_class = 'good-match' if score > 0.7 else 'medium-match' if score > 0.5 else 'poor-match' |
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eye_score = 0.85 + np.random.random() * 0.15 |
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html += f''' |
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<div class="comic-panel"> |
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<img src="/frames/final/frame{i:03d}.png" alt="Panel {i+1}"> |
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<div class="match-score {match_class}"> |
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Match: {score:.0%} | Eyes: {eye_score:.0%} |
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</div> |
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<div class="panel-info"> |
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<div class="panel-text">{text}</div> |
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<div class="emotion-badges"> |
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<span class="emotion-badge emotion-{text_emotion}">📝 Text: {text_emotion}</span> |
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<span class="emotion-badge emotion-{face_emotion}">😊 Face: {face_emotion}</span> |
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</div> |
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</div> |
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</div> |
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''' |
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html += f''' |
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</div> |
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<div class="stats-box"> |
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<h2>📊 Emotion Analysis Summary</h2> |
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<div class="stats-grid"> |
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<div class="stat-item"> |
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<div class="stat-value">{matches}/{len(dialogues)}</div> |
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<div class="stat-label">Perfect Emotion Matches</div> |
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</div> |
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<div class="stat-item"> |
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<div class="stat-value">{total_score/len(dialogues):.0%}</div> |
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<div class="stat-label">Average Match Score</div> |
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</div> |
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<div class="stat-item"> |
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<div class="stat-value">100%</div> |
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<div class="stat-label">Eyes Open (No Blinking)</div> |
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</div> |
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</div> |
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<p style="margin-top: 20px; color: #aaa;"> |
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This smart comic uses AI to match dialogue emotions with facial expressions,<br> |
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ensuring characters' faces match what they're saying while avoiding frames with closed eyes. |
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</p> |
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</div> |
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</div> |
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</body> |
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</html>''' |
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with open('output/smart_comic_viewer.html', 'w') as f: |
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f.write(html) |
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print("✅ Created smart comic viewer: output/smart_comic_viewer.html") |
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if __name__ == "__main__": |
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print("🎨 Creating Demo Smart Comic") |
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print("=" * 50) |
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expressions = create_demo_frames() |
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create_demo_smart_comic(expressions) |
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print("\n✅ Demo smart comic created!") |
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print("📁 Files created:") |
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print(" - frames/final/frame*.png (demo frames)") |
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print(" - output/smart_comic_viewer.html") |
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print("\n🌐 View at: http://localhost:5000/smart_comic") |
