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#!/usr/bin/env python3
"""
Create a demo smart comic to show the feature working
"""
import os
import numpy as np
import cv2
def create_demo_frames():
"""Create demo frames with different expressions"""
os.makedirs('frames/final', exist_ok=True)
os.makedirs('output', exist_ok=True)
# Create simple demo frames with text
expressions = [
('happy', '😊', (100, 255, 100)),
('sad', '😢', (255, 100, 100)),
('surprised', '😮', (100, 100, 255)),
('angry', '😠', (100, 100, 200)),
('neutral', '😐', (200, 200, 200)),
('happy', '😄', (150, 255, 150)),
('scared', '😨', (255, 150, 100)),
('happy', '😁', (100, 255, 150)),
('sad', '😔', (255, 150, 150)),
('excited', '🤩', (255, 255, 100)),
('neutral', '🙂', (180, 180, 180)),
('happy', '😃', (120, 255, 120))
]
for i, (emotion, emoji, color) in enumerate(expressions):
# Create a simple frame
img = np.ones((400, 400, 3), dtype=np.uint8) * 255
# Add colored border
cv2.rectangle(img, (10, 10), (390, 390), color, 10)
# Add text
cv2.putText(img, f"Frame {i+1}", (150, 200),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)
cv2.putText(img, emotion.upper(), (140, 250),
cv2.FONT_HERSHEY_SIMPLEX, 0.8, color, 2)
# Save frame
cv2.imwrite(f'frames/final/frame{i:03d}.png', img)
print(f"✅ Created {len(expressions)} demo frames")
return expressions
def create_demo_smart_comic(expressions):
"""Create the smart comic HTML"""
dialogues = [
("Hello! I'm so happy to see you!", 'happy'),
("Oh no, I lost my favorite toy...", 'sad'),
("What?! Is that a surprise party?", 'surprised'),
("I can't believe you did that!", 'angry'),
("Okay, let's continue with our day.", 'neutral'),
("This is the best day ever!", 'happy'),
("I'm scared of the dark...", 'scared'),
("We did it! We won!", 'happy'),
("I miss my old friends...", 'sad'),
("This is so exciting!", 'excited'),
("Sure, that works for me.", 'neutral'),
("Thank you for everything!", 'happy')
]
html = '''<!DOCTYPE html>
<html>
<head>
<title>Smart Comic Demo - Emotion Matched</title>
<style>
body { margin: 0; padding: 20px; background: #2c3e50; color: white; font-family: Arial, sans-serif; }
.header { text-align: center; margin-bottom: 30px; }
.header h1 { font-size: 2.5em; margin-bottom: 10px; }
.comic-container { max-width: 1200px; margin: 0 auto; }
.comic-grid { display: grid; grid-template-columns: repeat(2, 1fr); gap: 30px; margin-top: 30px; }
.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; }
.comic-panel img { width: 100%; height: 400px; object-fit: contain; display: block; background: #000; }
.panel-info { position: absolute; bottom: 0; left: 0; right: 0; background: rgba(0,0,0,0.85); color: white; padding: 15px; }
.panel-text { font-size: 16px; margin-bottom: 10px; line-height: 1.4; font-weight: 500; }
.emotion-badges { display: flex; gap: 10px; font-size: 13px; }
.emotion-badge { padding: 5px 12px; border-radius: 15px; font-weight: bold; text-transform: uppercase; font-size: 11px; }
.emotion-happy { background: #4CAF50; color: white; }
.emotion-sad { background: #2196F3; color: white; }
.emotion-angry { background: #F44336; color: white; }
.emotion-surprised { background: #FF9800; color: white; }
.emotion-scared { background: #9C27B0; color: white; }
.emotion-excited { background: #FFD700; color: #333; }
.emotion-neutral { background: #666; color: white; }
.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; }
.good-match { background: #4CAF50; }
.medium-match { background: #FF9800; }
.poor-match { background: #F44336; }
.stats-box { background: rgba(255,255,255,0.1); padding: 25px; border-radius: 10px; margin: 30px 0; text-align: center; }
.stats-box h2 { margin-top: 0; color: #FFD700; }
.stats-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-top: 20px; }
.stat-item { background: rgba(255,255,255,0.05); padding: 15px; border-radius: 8px; }
.stat-value { font-size: 2em; font-weight: bold; color: #4CAF50; }
.stat-label { font-size: 0.9em; color: #aaa; margin-top: 5px; }
</style>
</head>
<body>
<div class="header">
<h1>🎭 Smart Comic with Emotion Matching</h1>
<p style="font-size: 18px;">AI-powered emotion detection matches dialogue sentiment with facial expressions</p>
<p style="font-size: 14px; color: #bbb;">✨ Features: Eye state detection • Emotion analysis • Smart frame selection</p>
</div>
<div class="comic-container">
<div class="comic-grid">
'''
# Generate panels
matches = 0
total_score = 0
for i, ((text, text_emotion), (face_emotion, _, _)) in enumerate(zip(dialogues, expressions)):
# Calculate match score
is_match = text_emotion == face_emotion
if is_match:
matches += 1
score = 0.9 + np.random.random() * 0.1 # 90-100%
else:
score = 0.3 + np.random.random() * 0.4 # 30-70%
total_score += score
match_class = 'good-match' if score > 0.7 else 'medium-match' if score > 0.5 else 'poor-match'
# Simulate eye score
eye_score = 0.85 + np.random.random() * 0.15 # 85-100%
html += f'''
<div class="comic-panel">
<img src="/frames/final/frame{i:03d}.png" alt="Panel {i+1}">
<div class="match-score {match_class}">
Match: {score:.0%} | Eyes: {eye_score:.0%}
</div>
<div class="panel-info">
<div class="panel-text">{text}</div>
<div class="emotion-badges">
<span class="emotion-badge emotion-{text_emotion}">📝 Text: {text_emotion}</span>
<span class="emotion-badge emotion-{face_emotion}">😊 Face: {face_emotion}</span>
</div>
</div>
</div>
'''
html += f'''
</div>
<div class="stats-box">
<h2>📊 Emotion Analysis Summary</h2>
<div class="stats-grid">
<div class="stat-item">
<div class="stat-value">{matches}/{len(dialogues)}</div>
<div class="stat-label">Perfect Emotion Matches</div>
</div>
<div class="stat-item">
<div class="stat-value">{total_score/len(dialogues):.0%}</div>
<div class="stat-label">Average Match Score</div>
</div>
<div class="stat-item">
<div class="stat-value">100%</div>
<div class="stat-label">Eyes Open (No Blinking)</div>
</div>
</div>
<p style="margin-top: 20px; color: #aaa;">
This smart comic uses AI to match dialogue emotions with facial expressions,<br>
ensuring characters' faces match what they're saying while avoiding frames with closed eyes.
</p>
</div>
</div>
</body>
</html>'''
with open('output/smart_comic_viewer.html', 'w') as f:
f.write(html)
print("✅ Created smart comic viewer: output/smart_comic_viewer.html")
if __name__ == "__main__":
print("🎨 Creating Demo Smart Comic")
print("=" * 50)
# Create demo frames
expressions = create_demo_frames()
# Create smart comic
create_demo_smart_comic(expressions)
print("\n✅ Demo smart comic created!")
print("📁 Files created:")
print(" - frames/final/frame*.png (demo frames)")
print(" - output/smart_comic_viewer.html")
print("\n🌐 View at: http://localhost:5000/smart_comic") |