Delete app.py
Browse files
app.py
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import gradio as gr
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import sys
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import os
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# Add the dist directory to Python path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'dist'))
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# Import obfuscated module
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try:
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import core_logic
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from core_logic import *
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data_manager = DataManager()
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except ImportError as e:
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print(f"Error: Obfuscated module not found: {e}")
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print("Current directory:", os.getcwd())
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print("Files in dist:", os.listdir('dist') if os.path.exists('dist') else 'dist not found')
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sys.exit(1)
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def handle_like(request: gr.Request):
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"""Handle like button click"""
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user_context = get_user_context(request)
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print(f"User {user_context} liked the result!")
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return gr.update(
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value="❤️ Thanks for liking! Please star our repo!",
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interactive=False,
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variant="secondary"
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)
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def create_footer():
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return f"""
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<div style="text-align: center; margin-top: 30px; padding: 15px; border-radius: 8px;">
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<p style="margin: 5px 0;">© 2025 {COMPANY_NAME}. All rights reserved.</p>
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<p style="margin: 5px 0;">
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<a href="{COMPANY_URL}" target="_blank" style="color: #0984e3; text-decoration: none;">Website</a> |
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<a href="mailto:{CONTACT_EMAIL}" style="color: #0984e3; text-decoration: none;">Contact Us</a> |
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<a href="{COMPANY_URL}/privacy-policy" target="_blank" style="color: #0984e3; text-decoration: none;">Privacy Policy</a>
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</p>
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</div>
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"""
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def create_instructions():
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return """
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<div style="padding: 15px; border-radius: 8px; margin-bottom: 20px;">
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<h2 style="margin-top: 0;">How to use:</h2>
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<ol style="color: #636e72;">
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<li>Upload a clear photo of a person (front view works best)</li>
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<li>Upload an image of the garment you want to try on</li>
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<li>Click "Run Virtual Try-On" to see the result</li>
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</ol>
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<p style="margin-bottom: 0;"><strong>Tip:</strong> For best results, use images with plain backgrounds.</p>
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</div>
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"""
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def virtual_tryon_with_like(human_img, garment_img, garment_type, request: gr.Request):
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if human_img is None:
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raise gr.Error("Please upload a person image first!")
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if garment_img is None:
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raise gr.Error("Please upload a garment image first!")
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# Check country restriction
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is_blocked, country = check_country_restriction(request)
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if is_blocked:
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raise gr.Error(
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f"We're sorry, but our service is currently experiencing technical issues in your region. "
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f"Please try again later or sign up at {COMPANY_URL} for premium access with priority support."
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)
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user_context = get_user_context(request)
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current_attempts = data_manager.get_attempts(user_context)
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print(f"Current attempts for {user_context}: {current_attempts}")
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if current_attempts >= MAX_FREE_TRIALS:
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raise gr.Error(
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f"You've used {MAX_FREE_TRIALS} free credits. "
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f"Please visit https://miragic.ai/ to sign up for unlimited access!"
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)
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try:
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# Process the images
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result_img = process_tryon_request(human_img, garment_img, garment_type)
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# Increment attempts after successful generation
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new_count = data_manager.increment_attempts(user_context)
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print(f"New attempt count for {user_context}: {new_count}")
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return result_img, gr.update(visible=True, interactive=True, value="👍 Like this result!")
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except Exception as e:
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print(f"Error in virtual_tryon: {str(e)}")
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raise e
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# Custom CSS
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css = """
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footer {visibility: hidden}
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.banner {
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background-color: #f8f9fa;
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padding: 10px;
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border-radius: 5px;
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margin-bottom: 20px;
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text-align: center;
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}
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.button-gradient {
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background: linear-gradient(45deg, #ff416c, #ff4b2b, #ff9b00, #ff416c);
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background-size: 400% 400%;
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border: none;
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padding: 14px 28px;
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font-size: 16px;
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font-weight: bold;
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color: white;
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border-radius: 10px;
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cursor: pointer;
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transition: 0.3s ease-in-out;
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animation: gradientAnimation 2s infinite linear;
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box-shadow: 0 4px 10px rgba(255, 65, 108, 0.6);
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}
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@keyframes gradientAnimation {
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0% { background-position: 0% 50%; }
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100% { background-position: 100% 50%; }
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}
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.button-gradient:hover {
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transform: scale(1.05);
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box-shadow: 0 6px 15px rgba(255, 75, 43, 0.8);
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}
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.signup-container {
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text-align: center;
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padding: 20px;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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border-radius: 8px;
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margin-top: 10px;
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color: white;
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box-shadow: 0 4px 15px rgba(0,0,0,0.2);
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}
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.signup-container h3 {
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margin-bottom: 10px;
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color: white;
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}
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.signup-container p {
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margin-bottom: 15px;
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color: #f0f0f0;
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}
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.signup-button {
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background: linear-gradient(45deg, #ff416c, #ff4b2b);
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border: none;
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padding: 12px 25px;
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font-size: 16px;
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font-weight: bold;
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color: white;
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border-radius: 8px;
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text-decoration: none;
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display: inline-block;
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transition: all 0.3s ease;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
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}
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.signup-button:hover {
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transform: translateY(-2px);
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3);
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}
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.attempts-counter {
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background: #e3f2fd;
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padding: 10px;
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border-radius: 5px;
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margin: 10px 0;
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text-align: center;
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font-weight: bold;
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color: #1976d2;
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}
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#col-container {
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max-width: 1400px;
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margin: 0 auto;
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}
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.step-column {
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padding: 20px;
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border-radius: 8px;
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box-shadow: var(--card-shadow);
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margin: 10px;
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}
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.step-title {
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color: var(--primary-color);
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text-align: center;
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margin-bottom: 15px;
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}
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.image-preview {
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border-radius: 8px;
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overflow: hidden;
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box-shadow: var(--card-shadow);
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}
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.result-section {
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background-color: white;
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padding: 20px;
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border-radius: 8px;
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box-shadow: var(--card-shadow);
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}
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.footer {
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margin-top: 30px;
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text-align: center;
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}
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.like-button {
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background: linear-gradient(45deg, #ff6b6b, #ff8e8e);
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border: none;
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padding: 10px 20px;
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font-size: 14px;
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font-weight: bold;
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color: white;
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border-radius: 8px;
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cursor: pointer;
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transition: all 0.3s ease;
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box-shadow: 0 2px 8px rgba(255, 107, 107, 0.3);
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}
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.like-button:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 12px rgba(255, 107, 107, 0.5);
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}
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.interaction-section {
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text-align: center;
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padding: 20px;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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border-radius: 8px;
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margin-top: 20px;
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color: white;
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box-shadow: 0 4px 15px rgba(0,0,0,0.2);
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}
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"""
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# Example images setup
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example_path = os.path.join(os.path.dirname(__file__), 'assets')
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human_examples = [
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os.path.join(example_path, "human", f) for f in os.listdir(os.path.join(example_path, "human"))
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if f.endswith(('.jpg', '.jpeg', '.png'))
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] if os.path.exists(os.path.join(example_path, "human")) else []
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garment_examples = [
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os.path.join(example_path, "garment", f) for f in os.listdir(os.path.join(example_path, "garment"))
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if f.endswith(('.jpg', '.jpeg', '.png'))
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] if os.path.exists(os.path.join(example_path, "garment")) else []
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with gr.Blocks(css=css, title=f"{COMPANY_NAME} Virtual Try-On", theme=gr.themes.Ocean()) as demo:
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gr.Markdown("""
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<div style="display: flex; align-items: center;">
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<img src="https://avatars.githubusercontent.com/u/211682198?s=200&v=4" style="width: 80px; margin-right: 20px;"/>
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<div>
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<h1 style="margin-bottom: 0;">Miragic Virtual Try-On 👕 👗</h1>
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<p style="margin-top: 0; color: #636e72;">Try on complete outfits with our AI-powered virtual try-on technology</p>
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</div>
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</div>
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""")
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# Instructions
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gr.HTML(create_instructions())
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with gr.Row(elem_id="col-container"):
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# Step 1: Person Image
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with gr.Column(elem_classes="step-column"):
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gr.HTML("""
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<div class="step-title">
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<span style="font-size: 24px;">1. Upload Person Image</span><br>
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</div>
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""")
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human_img = gr.Image(
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label="Person Image",
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sources='upload',
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type="numpy",
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elem_classes="image-preview",
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height=400
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)
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if human_examples:
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gr.Examples(
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examples=human_examples,
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inputs=human_img,
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label="Example Person Images",
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examples_per_page=12
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)
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# Step 2: Garment Image
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with gr.Column(elem_classes="step-column"):
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gr.HTML("""
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<div class="step-title">
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<span style="font-size: 24px;">2. Upload Garment Image</span><br>
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</div>
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""")
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garment_img = gr.Image(
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label="Garment Image",
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sources='upload',
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type="numpy",
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elem_classes="image-preview",
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height=400
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)
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garment_type = gr.Dropdown(
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choices=["Dress/Suit", "Top", "Bottom"],
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value="Dress/Suit",
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label="Garment Type",
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info="Select the type of garment you want to try on"
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)
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if garment_examples:
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gr.Examples(
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examples=garment_examples,
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inputs=garment_img,
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label="Example Garment Images",
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examples_per_page=12
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)
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# Step 3: Results
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with gr.Column(elem_classes="step-column"):
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gr.HTML("""
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<div class="step-title">
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<span style="font-size: 24px;">3. Virtual Try-On Result</span><br>
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</div>
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""")
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result_img = gr.Image(
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label="Try-On Result",
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interactive=False,
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elem_classes="image-preview",
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height=400
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)
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with gr.Row():
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like_button = gr.Button(
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"👍 Like this result!",
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elem_classes="like-button",
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visible=False
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)
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try_button = gr.Button(
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"Run Virtual Try-On 🚀",
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elem_classes="button-gradient"
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)
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gr.HTML("""
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<div class="interaction-section">
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<p style="margin: 5px 0;">If you like our Virtual Try-On results, please give us a ⭐ into our space!</p>
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</div>
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""")
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signup_prompt = gr.HTML(
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visible=True,
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value="""<div class="signup-container">
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<h3>🚀 Want unlimited generations?</h3>
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<p>Please sign up at Miragic.ai for unlimited access to all our AI tools!</p>
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<a href='https://miragic.ai/products/virtual-try-on' target='_blank' class="signup-button">
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SignUp for Free 🚀
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</a>
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</div>"""
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)
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if os.path.exists("assets/examples"):
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with gr.Row():
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gr.Examples(
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examples=[
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["assets/examples/model1.jpg", "assets/examples/garment1.png", "Dress/Suit", "assets/examples/result1.jpg"],
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["assets/examples/model2.png", "assets/examples/garment2.jpg", "Dress/Suit", "assets/examples/result2.jpg"],
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["assets/examples/model3.jpg", "assets/examples/garment3.jpg", "Dress/Suit", "assets/examples/result3.jpg"],
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],
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inputs=[human_img, garment_img, garment_type, result_img],
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label=None,
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examples_per_page=3
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)
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# Button action
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try_button.click(
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fn=virtual_tryon_with_like,
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inputs=[human_img, garment_img, garment_type],
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outputs=[result_img, like_button],
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api_name="virtual_tryon"
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)
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like_button.click(
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fn=handle_like,
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inputs=[],
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outputs=[like_button]
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)
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gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiragic-AI%2FMiragic-Virtual-Try-On"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiragic-AI%2FMiragic-Virtual-Try-On&label=VISITORS&labelColor=%2337d67a&countColor=%23f47373&style=plastic&labelStyle=upper" /></a>')
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# Footer
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gr.HTML(create_footer())
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if __name__ == "__main__":
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demo.launch(
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show_api=False,
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server_name="0.0.0.0",
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server_port=7860
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)
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