app.py

import gradio as gr
import threading
import os
import shutil
import tempfile
import time
import json
from util import process_image_edit, process_local_image_edit, download_and_check_result_nsfw
from nfsw import NSFWDetector

# i18n
def load_translations():
    translations = {}
    import os
    i18n_dir = "i18n/"
    for lang_file in os.listdir(i18n_dir):
        if lang_file.endswith('.json'):
            lang = lang_file[:-5]  # Remove .json extension
            try:
                with open(os.path.join(i18n_dir, lang_file), "r", encoding="utf-8") as f:
                    translations[lang] = json.load(f)
            except Exception as e:
                print(f"Failed to load {lang_file}: {e}")
    return translations

translations = load_translations()

def t(key, lang="en"):
    return translations.get(lang, {}).get(key, key)

# Configuration parameters

TIP_TRY_N = 4      # Show like button tip after 12 tries
FREE_TRY_N = 8        # Free phase: first 15 tries without restrictions
SLOW_TRY_N = 15       # Slow phase start: 25 tries
SLOW2_TRY_N = 20        # Slow phase start: 32 tries
RATE_LIMIT_60 = 25     # Full restriction: blocked after 40 tries

# Time window configuration (minutes)
PHASE_1_WINDOW = 3     # 15-25 tries: 5 minutes
PHASE_2_WINDOW = 10    # 25-32 tries: 10 minutes
PHASE_3_WINDOW = 20    # 32-40 tries: 20 minutes
MAX_IMAGES_PER_WINDOW = 2  # Max images per time window

IP_Dict = {}
# IP generation statistics and time window tracking
IP_Generation_Count = {}  # Record total generation count for each IP
IP_Rate_Limit_Track = {}  # Record generation count and timestamp in current time window for each IP
IP_Country_Cache = {}  # Cache IP country information to avoid repeated queries

# Country usage statistics
Country_Usage_Stats = {}  # Track usage count by country
Total_Request_Count = 0  # Total request counter for periodic printing
PRINT_STATS_INTERVAL = 10  # Print stats every N requests

# Async IP query tracking
IP_Query_Results = {}  # Track async query results

# Restricted countries list (these countries have lower usage limits)
RESTRICTED_COUNTRIES = ["印度", "巴基斯坦"]
RESTRICTED_COUNTRY_LIMIT = 5  # Max usage for restricted countries

country_dict = {
    "zh": ["中国", "香港"],
    "fi": ["芬兰"],
    "en": ["美国", "澳大利亚", "英国", "加拿大", "新西兰", "爱尔兰"],
    "es": ["西班牙", "墨西哥", "阿根廷", "哥伦比亚", "智利", "秘鲁"],
    "pt": ["葡萄牙", "巴西"],
    "fr": ["法国", "摩纳哥"],
    "de": ["德国", "奥地利", ],
    "it": ["意大利", "圣马力诺", "梵蒂冈"],
    "ja": ["日本"],
    "ru": ["俄罗斯"],
    "uk": ["乌克兰"],
    "ar": ["沙特阿拉伯", "埃及", "阿拉伯联合酋长国", "摩洛哥"],
    "nl":["荷兰"],
    "no":["挪威"],
    "sv":["瑞典"],
    "id":["印度尼西亚"],
    "vi": ["越南"],
    "he": ["以色列"],
    "tr": ["土耳其"],
    "da": ["丹麦"],
}

def query_ip_country(client_ip):
    """
    Query IP address geo information with robust error handling
    
    Features:
    - 3 second timeout limit
    - Comprehensive error handling 
    - Automatic fallback to default values
    - Cache mechanism to avoid repeated queries
    
    Returns:
        dict: {"country": str, "region": str, "city": str}
    """
    # Check cache first - no API call for subsequent visits
    if client_ip in IP_Country_Cache:
        print(f"Using cached IP data for {client_ip}")
        return IP_Country_Cache[client_ip]
    
    # Validate IP address
    if not client_ip or client_ip in ["127.0.0.1", "localhost", "::1"]:
        print(f"Invalid or local IP address: {client_ip}, using default")
        default_geo = {"country": "Unknown", "region": "Unknown", "city": "Unknown"}
        IP_Country_Cache[client_ip] = default_geo
        return default_geo
    
    # First time visit - query API with robust error handling
    print(f"Querying IP geolocation for {client_ip}...")
    
    try:
        import requests
        from requests.exceptions import Timeout, ConnectionError, RequestException
        
        api_url = f"https://api.vore.top/api/IPdata?ip={client_ip}"
        
        # Make request with 3 second timeout
        response = requests.get(api_url, timeout=3)
        
        if response.status_code == 200:
            data = response.json()
            if data.get("code") == 200 and "ipdata" in data:
                ipdata = data["ipdata"]
                geo_info = {
                    "country": ipdata.get("info1", "Unknown"),
                    "region": ipdata.get("info2", "Unknown"),
                    "city": ipdata.get("info3", "Unknown")
                }
                IP_Country_Cache[client_ip] = geo_info
                print(f"Successfully detected location for {client_ip}: {geo_info['country']}")
                return geo_info
            else:
                print(f"API returned invalid data for {client_ip}: {data}")
        else:
            print(f"API request failed with status {response.status_code} for {client_ip}")
        
    except Timeout:
        print(f"Timeout (>3s) querying IP location for {client_ip}, using default")
    except ConnectionError:
        print(f"Network connection error for IP {client_ip}, using default")
    except RequestException as e:
        print(f"Request error for IP {client_ip}: {e}, using default")
    except Exception as e:
        print(f"Unexpected error querying IP {client_ip}: {e}, using default")
    
    # All failures lead here - cache default and return
    default_geo = {"country": "Unknown", "region": "Unknown", "city": "Unknown"}
    IP_Country_Cache[client_ip] = default_geo
    print(f"Cached default location for {client_ip}")
    return default_geo

def query_ip_country_async(client_ip):
    """
    Async version that returns immediately with default, then updates cache in background
    
    Returns:
        tuple: (immediate_lang, geo_info_or_none)
    """
    # If already cached, return immediately
    if client_ip in IP_Country_Cache:
        geo_info = IP_Country_Cache[client_ip]
        lang = get_lang_from_country(geo_info["country"])
        return lang, geo_info
    
    # Return default immediately, query in background
    return "en", None

def get_lang_from_country(country):
    """
    Map country name to language code with comprehensive validation
    
    Features:
    - Handles invalid/empty input
    - Case-insensitive matching
    - Detailed logging
    - Always returns valid language code
    
    Args:
        country (str): Country name
        
    Returns:
        str: Language code (always valid, defaults to "en")
    """
    # Input validation
    if not country or not isinstance(country, str) or country.strip() == "":
        print(f"Invalid country provided: '{country}', defaulting to English")
        return "en"
    
    # Normalize country name
    country = country.strip()
    if country.lower() == "unknown":
        print(f"Unknown country, defaulting to English")
        return "en"
    
    try:
        # Search in country dictionary with case-sensitive match first
        for lang, countries in country_dict.items():
            if country in countries:
                print(f"Matched country '{country}' to language '{lang}'")
                return lang
        
        # If no exact match, try case-insensitive match
        country_lower = country.lower()
        for lang, countries in country_dict.items():
            for country_variant in countries:
                if country_variant.lower() == country_lower:
                    print(f"Case-insensitive match: country '{country}' to language '{lang}'")
                    return lang
        
        # No match found
        print(f"Country '{country}' not found in country_dict, defaulting to English")
        return "en"
        
    except Exception as e:
        print(f"Error matching country '{country}': {e}, defaulting to English")
        return "en"

def get_lang_from_ip(client_ip):
    """
    Get language based on IP geolocation with comprehensive error handling
    
    Features:
    - Validates input IP address
    - Handles all possible exceptions
    - Always returns a valid language code
    - Defaults to English on any failure
    - Includes detailed logging
    
    Args:
        client_ip (str): Client IP address
        
    Returns:
        str: Language code (always valid, defaults to "en")
    """
    # Input validation
    if not client_ip or not isinstance(client_ip, str):
        print(f"Invalid IP address provided: {client_ip}, defaulting to English")
        return "en"
    
    try:
        # Query geolocation info (has its own error handling and 3s timeout)
        geo_info = query_ip_country(client_ip)
        
        if not geo_info or not isinstance(geo_info, dict):
            print(f"No geolocation data for {client_ip}, defaulting to English")
            return "en"
        
        # Extract country with fallback
        country = geo_info.get("country", "Unknown")
        if not country or country == "Unknown":
            print(f"Unknown country for IP {client_ip}, defaulting to English") 
            return "en"
        
        # Map country to language
        detected_lang = get_lang_from_country(country)
        
        # Validate language code
        if not detected_lang or not isinstance(detected_lang, str) or len(detected_lang) != 2:
            print(f"Invalid language code '{detected_lang}' for {client_ip}, defaulting to English")
            return "en"
        
        print(f"IP {client_ip} -> Country: {country} -> Language: {detected_lang}")
        return detected_lang
        
    except Exception as e:
        print(f"Unexpected error getting language from IP {client_ip}: {e}, defaulting to English")
        return "en"  # Always return a valid language code

def is_restricted_country_ip(client_ip):
    """
    Check if IP is from a restricted country
    
    Returns:
        bool: True if from restricted country
    """
    geo_info = query_ip_country(client_ip)
    country = geo_info["country"]
    return country in RESTRICTED_COUNTRIES

def get_ip_max_limit(client_ip):
    """
    Get max usage limit for IP based on country
    
    Returns:
        int: Max usage limit
    """
    if is_restricted_country_ip(client_ip):
        return RESTRICTED_COUNTRY_LIMIT
    else:
        return RATE_LIMIT_60

def get_ip_generation_count(client_ip):
    """
    Get IP generation count
    """
    if client_ip not in IP_Generation_Count:
        IP_Generation_Count[client_ip] = 0
    return IP_Generation_Count[client_ip]

def increment_ip_generation_count(client_ip):
    """
    Increment IP generation count
    """
    if client_ip not in IP_Generation_Count:
        IP_Generation_Count[client_ip] = 0
    IP_Generation_Count[client_ip] += 1
    return IP_Generation_Count[client_ip]

def get_ip_phase(client_ip):
    """
    Get current phase for IP
    
    Returns:
        str: 'free', 'rate_limit_1', 'rate_limit_2', 'rate_limit_3', 'blocked'
    """
    count = get_ip_generation_count(client_ip)
    max_limit = get_ip_max_limit(client_ip)
    
    # For restricted countries, check if they've reached their limit
    if is_restricted_country_ip(client_ip):
        if count >= max_limit:
            return 'blocked'
        elif count >= max_limit - 2:  # Last 2 attempts
            return 'rate_limit_3'
        elif count >= max_limit - 3:  # 3rd attempt from end
            return 'rate_limit_2'
        elif count >= max_limit - 4:  # 4th attempt from end
            return 'rate_limit_1'
        else:
            return 'free'
    
    # For normal countries, use standard limits
    if count < FREE_TRY_N:
        return 'free'
    elif count < SLOW_TRY_N:
        return 'rate_limit_1'        # NSFW blur + 5 minutes 2 images
    elif count < SLOW2_TRY_N:
        return 'rate_limit_2'        # NSFW blur + 10 minutes 2 images
    elif count < max_limit:
        return 'rate_limit_3'        # NSFW blur + 20 minutes 2 images
    else:
        return 'blocked'             # Generation blocked

def check_rate_limit_for_phase(client_ip, phase):
    """
    Check rate limit for specific phase
    
    Returns:
        tuple: (is_limited, wait_time_minutes, current_count)
    """
    if phase not in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
        return False, 0, 0
    
    # Determine time window
    if phase == 'rate_limit_1':
        window_minutes = PHASE_1_WINDOW
    elif phase == 'rate_limit_2':
        window_minutes = PHASE_2_WINDOW
    else:  # rate_limit_3
        window_minutes = PHASE_3_WINDOW
    
    current_time = time.time()
    window_key = f"{client_ip}_{phase}"
    
    # Clean expired records
    if window_key in IP_Rate_Limit_Track:
        track_data = IP_Rate_Limit_Track[window_key]
        # Check if within current time window
        if current_time - track_data['start_time'] > window_minutes * 60:
            # Time window expired, reset
            IP_Rate_Limit_Track[window_key] = {
                'count': 0,
                'start_time': current_time,
                'last_generation': current_time
            }
    else:
        # Initialize
        IP_Rate_Limit_Track[window_key] = {
            'count': 0,
            'start_time': current_time,
            'last_generation': current_time
        }
    
    track_data = IP_Rate_Limit_Track[window_key]
    
    # Check if exceeded limit
    if track_data['count'] >= MAX_IMAGES_PER_WINDOW:
        # Calculate remaining wait time
        elapsed = current_time - track_data['start_time']
        wait_time = (window_minutes * 60) - elapsed
        wait_minutes = max(0, wait_time / 60)
        return True, wait_minutes, track_data['count']
    
    return False, 0, track_data['count']

def update_country_stats(client_ip):
    """
    Update country usage statistics and print periodically
    """
    global Total_Request_Count, Country_Usage_Stats
    
    # Get country info
    geo_info = IP_Country_Cache.get(client_ip, {"country": "Unknown", "region": "Unknown", "city": "Unknown"})
    country = geo_info["country"]
    
    # Update country stats
    if country not in Country_Usage_Stats:
        Country_Usage_Stats[country] = 0
    Country_Usage_Stats[country] += 1
    
    # Increment total request counter
    Total_Request_Count += 1
    
    # Print stats every N requests
    if Total_Request_Count % PRINT_STATS_INTERVAL == 0:
        print("\n" + "="*60)
        print(f"📊 国家使用统计 (总请求数: {Total_Request_Count})")
        print("="*60)
        
        # Sort by usage count (descending)
        sorted_stats = sorted(Country_Usage_Stats.items(), key=lambda x: x[1], reverse=True)
        
        for country_name, count in sorted_stats:
            percentage = (count / Total_Request_Count) * 100
            print(f"  {country_name}: {count} 次 ({percentage:.1f}%)")
        
        print("="*60 + "\n")

def record_generation_attempt(client_ip, phase):
    """
    Record generation attempt
    """
    # Increment total count
    increment_ip_generation_count(client_ip)
    
    # Update country statistics
    update_country_stats(client_ip)
    
    # Record time window count
    if phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
        window_key = f"{client_ip}_{phase}"
        current_time = time.time()
        
        if window_key in IP_Rate_Limit_Track:
            IP_Rate_Limit_Track[window_key]['count'] += 1
            IP_Rate_Limit_Track[window_key]['last_generation'] = current_time
        else:
            IP_Rate_Limit_Track[window_key] = {
                'count': 1,
                'start_time': current_time,
                'last_generation': current_time
            }

def apply_gaussian_blur_to_image_url(image_url, blur_strength=50):
    """
    Apply Gaussian blur to image URL
    
    Args:
        image_url (str): Original image URL
        blur_strength (int): Blur strength, default 50 (heavy blur)
        
    Returns:
        PIL.Image: Blurred PIL Image object
    """
    try:
        import requests
        from PIL import Image, ImageFilter
        import io
        
        # Download image
        response = requests.get(image_url, timeout=30)
        if response.status_code != 200:
            return None
        
        # Convert to PIL Image
        image_data = io.BytesIO(response.content)
        image = Image.open(image_data)
        
        # Apply heavy Gaussian blur
        blurred_image = image.filter(ImageFilter.GaussianBlur(radius=blur_strength))
        
        return blurred_image
        
    except Exception as e:
        print(f"⚠️ Failed to apply Gaussian blur: {e}")
        return None

# Initialize NSFW detector (download from Hugging Face)
try:
    nsfw_detector = NSFWDetector()  # Auto download falconsai_yolov9_nsfw_model_quantized.pt from Hugging Face
    print("✅ NSFW detector initialized successfully")
except Exception as e:
    print(f"❌ NSFW detector initialization failed: {e}")
    nsfw_detector = None

def edit_image_interface(input_image, prompt, lang, request: gr.Request, progress=gr.Progress()):
    """
    Interface function for processing image editing with phase-based limitations
    """
    try:
        # Extract user IP
        client_ip = request.client.host
        x_forwarded_for = dict(request.headers).get('x-forwarded-for')
        if x_forwarded_for:
            client_ip = x_forwarded_for   
        if client_ip not in IP_Dict:
            IP_Dict[client_ip] = 0
        IP_Dict[client_ip] += 1

        if input_image is None:
            return None, t("error_upload_first", lang), gr.update(visible=False)
        
        if not prompt or prompt.strip() == "":
            return None, t("error_enter_prompt", lang), gr.update(visible=False)
        
        # Check if prompt length is greater than 3 characters
        if len(prompt.strip()) <= 3:
            return None, t("error_prompt_too_short", lang), gr.update(visible=False)
    except Exception as e:
        print(f"⚠️ Request preprocessing error: {e}")
        return None, t("error_request_processing", lang), gr.update(visible=False)
    
    # Get user current phase
    current_phase = get_ip_phase(client_ip)
    current_count = get_ip_generation_count(client_ip)
    geo_info = IP_Country_Cache.get(client_ip, {"country": "Unknown", "region": "Unknown", "city": "Unknown"})
    
    print(f"📊 User phase info - IP: {client_ip}, Location: {geo_info['country']}/{geo_info['region']}/{geo_info['city']}, Phase: {current_phase}, Count: {current_count}")
    
    # Check if user reached the like button tip threshold  
    show_like_tip = (current_count >= TIP_TRY_N)
    
    # Check if completely blocked
    if current_phase == 'blocked':
        # Generate blocked limit button
        blocked_button_html = f"""
        <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
            <a href='https://omnicreator.net/#generator' target='_blank' style='
                display: inline-flex; 
                align-items: center;
                justify-content: center;
                padding: 16px 32px; 
                background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
                color: white; 
                text-decoration: none; 
                border-radius: 12px; 
                font-weight: 600;
                font-size: 16px;
                text-align: center;
                min-width: 200px;
                box-shadow: 0 4px 15px rgba(231, 76, 60, 0.4);
                transition: all 0.3s ease;
                border: none;
            '>&#128640; Unlimited Generation</a>
        </div>
        """
        
        # Use same message for all users to avoid discrimination perception
        blocked_message = t("error_free_limit_reached", lang)
        
        return None, blocked_message, gr.update(value=blocked_button_html, visible=True)
    
    # Check rate limit (applies to rate_limit phases)
    if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
        is_limited, wait_minutes, window_count = check_rate_limit_for_phase(client_ip, current_phase)
        if is_limited:
            wait_minutes_int = int(wait_minutes) + 1
            # Generate rate limit button
            rate_limit_button_html = f"""
            <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                <a href='https://omnicreator.net/#generator' target='_blank' style='
                    display: inline-flex; 
                    align-items: center;
                    justify-content: center;
                    padding: 16px 32px; 
                    background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
                    color: white; 
                    text-decoration: none; 
                    border-radius: 12px; 
                    font-weight: 600;
                    font-size: 16px;
                    text-align: center;
                    min-width: 200px;
                    box-shadow: 0 4px 15px rgba(243, 156, 18, 0.4);
                    transition: all 0.3s ease;
                    border: none;
                '>⏰ Skip Wait - Unlimited Generation</a>
            </div>
            """
            return None, t("error_free_limit_wait", lang).format(wait_minutes_int=wait_minutes_int), gr.update(value=rate_limit_button_html, visible=True)
    
    # Handle NSFW detection based on phase
    is_nsfw_task = False  # Track if this task involves NSFW content
    
    # Skip NSFW detection in free phase
    if current_phase != 'free' and nsfw_detector is not None and input_image is not None:
        try:
            nsfw_result = nsfw_detector.predict_pil_label_only(input_image)
            
            if nsfw_result.lower() == "nsfw":
                is_nsfw_task = True
                print(f"🔍 Input NSFW detected in {current_phase} phase: ❌❌❌ {nsfw_result} - IP: {client_ip} (will blur result)")
            else:
                print(f"🔍 Input NSFW check passed: ✅✅✅ {nsfw_result} - IP: {client_ip}")
                
        except Exception as e:
            print(f"⚠️ Input NSFW detection failed: {e}")
            # Allow continuation when detection fails
    
    result_url = None
    status_message = ""
    
    def progress_callback(message):
        try:
            nonlocal status_message
            status_message = message
            # Add error handling to prevent progress update failure
            if progress is not None:
                # Enhanced progress display with better formatting
                if "Queue:" in message or "tasks ahead" in message:
                    # Queue status - show with different progress value to indicate waiting
                    progress(0.1, desc=message)
                elif "Processing" in message or "AI is processing" in message:
                    # Processing status
                    progress(0.7, desc=message)
                elif "Generating" in message or "Almost done" in message:
                    # Generation status
                    progress(0.9, desc=message)
                else:
                    # Default status
                    progress(0.5, desc=message)
        except Exception as e:
            print(f"⚠️ Progress update failed: {e}")
    
    try:
        # Record generation attempt (before actual generation to ensure correct count)
        record_generation_attempt(client_ip, current_phase)
        updated_count = get_ip_generation_count(client_ip)
        
        print(f"✅ Processing started - IP: {client_ip}, phase: {current_phase}, total count: {updated_count}, prompt: {prompt.strip()}", flush=True)
        
        # Call image editing processing function
        input_image_url, result_url, message, task_uuid = process_image_edit(input_image, prompt.strip(), None, progress_callback)
        
        if result_url:
            print(f"✅ Processing completed successfully - IP: {client_ip}, result_url: {result_url}, task_uuid: {task_uuid}", flush=True)
            
            # Detect result image NSFW content (only in rate limit phases)
            if nsfw_detector is not None and current_phase != 'free':
                try:
                    if progress is not None:
                        progress(0.9, desc=t("status_checking_result", lang))
                    
                    is_nsfw, nsfw_error = download_and_check_result_nsfw(result_url, nsfw_detector)
                    
                    if nsfw_error:
                        print(f"⚠️ Result image NSFW detection error - IP: {client_ip}, error: {nsfw_error}")
                    elif is_nsfw:
                        is_nsfw_task = True  # Mark task as NSFW
                        print(f"🔍 Result image NSFW detected in {current_phase} phase: ❌❌❌ - IP: {client_ip} (will blur result)")
                    else:
                        print(f"🔍 Result image NSFW check passed: ✅✅✅ - IP: {client_ip}")
                        
                except Exception as e:
                    print(f"⚠️ Result image NSFW detection exception - IP: {client_ip}, error: {str(e)}")
            
            # Apply blur if this is an NSFW task in rate limit phases
            should_blur = False
            
            if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3'] and is_nsfw_task:
                should_blur = True
            
            # Apply blur processing
            if should_blur:
                if progress is not None:
                    progress(0.95, desc=t("status_applying_filter", lang))
                
                blurred_image = apply_gaussian_blur_to_image_url(result_url)
                if blurred_image is not None:
                    final_result = blurred_image  # Return PIL Image object
                    final_message = t("warning_content_filter", lang)
                    print(f"🔒 Applied Gaussian blur for NSFW content - IP: {client_ip}")
                else:
                    # Blur failed, return original URL with warning
                    final_result = result_url
                    final_message = t("warning_content_review", lang)
                
                # Generate NSFW button for blurred content
                nsfw_action_buttons_html = f"""
                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                    <a href='https://omnicreator.net/#generator' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 200px;
                        box-shadow: 0 4px 15px rgba(255, 107, 107, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>🔥 Unlimited Creative Generation</a>
                </div>
                """
                return final_result, final_message, gr.update(value=nsfw_action_buttons_html, visible=True)
            else:
                final_result = result_url
                final_message = t("status_completed_message", lang).format(message=message)
            
            try:
                if progress is not None:
                    progress(1.0, desc=t("status_processing_completed", lang))
            except Exception as e:
                print(f"⚠️ Final progress update failed: {e}")
            
            # Generate action buttons HTML like Trump AI Voice
            action_buttons_html = ""
            if task_uuid:
                # Create image-to-video URL with input image, end image, and prompt
                from urllib.parse import quote
                # Use result URL as end_image, original upload URL as input_image
                encoded_prompt = quote(prompt.strip())
                image_to_video_url = f"https://omnicreator.net/image-to-video?input_image={input_image_url}&end_image={result_url}&prompt={encoded_prompt}"
                action_buttons_html = f"""
                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                    <a href='https://omnicreator.net/#generator' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 160px;
                        box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>&#128640; Unlimited Generation</a>
                    <a href='{image_to_video_url}' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 160px;
                        box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>&#127909; Turn Image to Video</a>
                </div>
                """
            
            # Add popup script if needed (using different approach)
            if show_like_tip:
                action_buttons_html += """
                <div style='display: flex; justify-content: center; margin: 15px 0 5px 0; padding: 0px;'>
                    <div style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 12px 24px; 
                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
                        color: white; 
                        border-radius: 10px; 
                        font-weight: 600;
                        font-size: 14px;
                        text-align: center;
                        max-width: 400px;
                        box-shadow: 0 3px 12px rgba(255, 107, 107, 0.3);
                        border: none;
                    '>👉 Click the ❤️ Like button to unlock more free trial attempts!</div>
                </div>
                """
            
            return final_result, final_message, gr.update(value=action_buttons_html, visible=True)
        else:
            print(f"❌ Processing failed - IP: {client_ip}, error: {message}", flush=True)
            return None, t("error_processing_failed", lang).format(message=message), gr.update(visible=False)
            
    except Exception as e:
        print(f"❌ Processing exception - IP: {client_ip}, error: {str(e)}")
        return None, t("error_processing_exception", lang).format(error=str(e)), gr.update(visible=False)

def local_edit_interface(image_dict, prompt, reference_image, lang, request: gr.Request, progress=gr.Progress()):
    """
    Handle local editing requests (with phase-based limitations)
    """
    try:
        # Extract user IP
        client_ip = request.client.host
        x_forwarded_for = dict(request.headers).get('x-forwarded-for')
        if x_forwarded_for:
            client_ip = x_forwarded_for   
        if client_ip not in IP_Dict:
            IP_Dict[client_ip] = 0
        IP_Dict[client_ip] += 1

        if image_dict is None:
            return None, t("error_upload_and_draw", lang), gr.update(visible=False)
        
        # Handle different input formats for ImageEditor
        if isinstance(image_dict, dict):
            # ImageEditor dict format
            if "background" not in image_dict or "layers" not in image_dict:
                return None, t("error_draw_on_image", lang), gr.update(visible=False)
            
            base_image = image_dict["background"]
            layers = image_dict["layers"]
            
            # Special handling: if background is None but composite exists, use composite
            if base_image is None and "composite" in image_dict and image_dict["composite"] is not None:
                print("🔧 Background is None, using composite instead")
                base_image = image_dict["composite"]
        else:
            # Simple case: Direct PIL Image (from example)
            base_image = image_dict
            layers = []
        
        # Check for special example case - bypass mask requirement
        is_example_case = prompt and prompt.startswith("EXAMPLE_PANDA_CAT_")
        
        # Debug: check current state
        if is_example_case:
            print(f"🔍 Example case detected - base_image is None: {base_image is None}")
        
        # Special handling for example case: load image directly from file
        if is_example_case and base_image is None:
            try:
                from PIL import Image
                import os
                
                main_path = "datas/panda01.jpeg"
                print(f"🔍 Trying to load: {main_path}, exists: {os.path.exists(main_path)}")
                
                if os.path.exists(main_path):
                    base_image = Image.open(main_path)
                    print(f"✅ Successfully loaded example image: {base_image.size}")
                else:
                    return None, f"❌ Example image not found: {main_path}", gr.update(visible=False)
            except Exception as e:
                return None, f"❌ Failed to load example image: {str(e)}", gr.update(visible=False)
        
        # Additional check for base_image
        if base_image is None:
            if is_example_case:
                print(f"❌ Example case but base_image still None!")
            return None, t("error_no_image_found", lang), gr.update(visible=False)
        
        if not layers and not is_example_case:
            return None, t("error_draw_on_image", lang), gr.update(visible=False)
            
        if not prompt or prompt.strip() == "":
            return None, t("error_enter_prompt", lang), gr.update(visible=False)
        
        # Check prompt length
        if len(prompt.strip()) <= 3:
            return None, t("error_prompt_too_short", lang), gr.update(visible=False)
    except Exception as e:
        print(f"⚠️ Local edit request preprocessing error: {e}")
        return None, t("error_request_processing", lang), gr.update(visible=False)
    
    # Get user current phase
    current_phase = get_ip_phase(client_ip)
    current_count = get_ip_generation_count(client_ip)
    geo_info = IP_Country_Cache.get(client_ip, {"country": "Unknown", "region": "Unknown", "city": "Unknown"})
    
    print(f"📊 Local edit user phase info - IP: {client_ip}, Location: {geo_info['country']}/{geo_info['region']}/{geo_info['city']}, Phase: {current_phase}, Count: {current_count}")
    
    # Check if user reached the like button tip threshold  
    show_like_tip = (current_count >= TIP_TRY_N)
    
    # Check if completely blocked
    if current_phase == 'blocked':
        # Generate blocked limit button
        blocked_button_html = f"""
        <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
            <a href='https://omnicreator.net/#generator' target='_blank' style='
                display: inline-flex; 
                align-items: center;
                justify-content: center;
                padding: 16px 32px; 
                background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
                color: white; 
                text-decoration: none; 
                border-radius: 12px; 
                font-weight: 600;
                font-size: 16px;
                text-align: center;
                min-width: 200px;
                box-shadow: 0 4px 15px rgba(231, 76, 60, 0.4);
                transition: all 0.3s ease;
                border: none;
            '>&#128640; Unlimited Generation</a>
        </div>
        """
        
        # Use same message for all users to avoid discrimination perception
        blocked_message = t("error_free_limit_reached", lang)
        
        return None, blocked_message, gr.update(value=blocked_button_html, visible=True)
    
    # Check rate limit (applies to rate_limit phases)
    if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
        is_limited, wait_minutes, window_count = check_rate_limit_for_phase(client_ip, current_phase)
        if is_limited:
            wait_minutes_int = int(wait_minutes) + 1
            # Generate rate limit button
            rate_limit_button_html = f"""
            <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                <a href='https://omnicreator.net/#generator' target='_blank' style='
                    display: inline-flex; 
                    align-items: center;
                    justify-content: center;
                    padding: 16px 32px; 
                    background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
                    color: white; 
                    text-decoration: none; 
                    border-radius: 12px; 
                    font-weight: 600;
                    font-size: 16px;
                    text-align: center;
                    min-width: 200px;
                    box-shadow: 0 4px 15px rgba(243, 156, 18, 0.4);
                    transition: all 0.3s ease;
                    border: none;
                '>⏰ Skip Wait - Unlimited Generation</a>
            </div>
            """
            return None, t("error_free_limit_wait", lang).format(wait_minutes_int=wait_minutes_int), gr.update(value=rate_limit_button_html, visible=True)
    
    # Handle NSFW detection based on phase
    is_nsfw_task = False  # Track if this task involves NSFW content
    
    # Skip NSFW detection in free phase
    if current_phase != 'free' and nsfw_detector is not None and base_image is not None:
        try:
            nsfw_result = nsfw_detector.predict_pil_label_only(base_image)
            
            if nsfw_result.lower() == "nsfw":
                is_nsfw_task = True
                print(f"🔍 Local edit input NSFW detected in {current_phase} phase: ❌❌❌ {nsfw_result} - IP: {client_ip} (will blur result)")
            else:
                print(f"🔍 Local edit input NSFW check passed: ✅✅✅ {nsfw_result} - IP: {client_ip}")
                
        except Exception as e:
            print(f"⚠️ Local edit input NSFW detection failed: {e}")
            # Allow continuation when detection fails

    result_url = None
    status_message = ""
    
    def progress_callback(message):
        try:
            nonlocal status_message
            status_message = message
            # Add error handling to prevent progress update failure
            if progress is not None:
                # Enhanced progress display with better formatting for local editing
                if "Queue:" in message or "tasks ahead" in message:
                    # Queue status - show with different progress value to indicate waiting
                    progress(0.1, desc=message)
                elif "Processing" in message or "AI is processing" in message:
                    # Processing status
                    progress(0.7, desc=message)
                elif "Generating" in message or "Almost done" in message:
                    # Generation status
                    progress(0.9, desc=message)
                else:
                    # Default status
                    progress(0.5, desc=message)
        except Exception as e:
            print(f"⚠️ Local edit progress update failed: {e}")
    
    try:
        # Record generation attempt (before actual generation to ensure correct count)
        record_generation_attempt(client_ip, current_phase)
        updated_count = get_ip_generation_count(client_ip)
        
        print(f"✅ Local editing started - IP: {client_ip}, phase: {current_phase}, total count: {updated_count}, prompt: {prompt.strip()}", flush=True)
        
        # Clean prompt for API call
        clean_prompt = prompt.strip()
        if clean_prompt.startswith("EXAMPLE_PANDA_CAT_"):
            clean_prompt = clean_prompt[18:]  # Remove the prefix
        
        # Call local image editing processing function
        if is_example_case:
            # For example case, pass special flag to use local mask file
            input_image_url, result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback, use_example_mask="datas/panda01m.jpeg")
        else:
            # Normal case
            input_image_url, result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback)
        
        if result_url:
            print(f"✅ Local editing completed successfully - IP: {client_ip}, result_url: {result_url}, task_uuid: {task_uuid}", flush=True)
            
            # Detect result image NSFW content (only in rate limit phases)
            if nsfw_detector is not None and current_phase != 'free':
                try:
                    if progress is not None:
                        progress(0.9, desc=t("status_checking_result", lang))
                    
                    is_nsfw, nsfw_error = download_and_check_result_nsfw(result_url, nsfw_detector)
                    
                    if nsfw_error:
                        print(f"⚠️ Local edit result image NSFW detection error - IP: {client_ip}, error: {nsfw_error}")
                    elif is_nsfw:
                        is_nsfw_task = True  # Mark task as NSFW
                        print(f"🔍 Local edit result image NSFW detected in {current_phase} phase: ❌❌❌ - IP: {client_ip} (will blur result)")
                    else:
                        print(f"🔍 Local edit result image NSFW check passed: ✅✅✅ - IP: {client_ip}")
                        
                except Exception as e:
                    print(f"⚠️ Local edit result image NSFW detection exception - IP: {client_ip}, error: {str(e)}")
            
            # Apply blur if this is an NSFW task in rate limit phases
            should_blur = False
            
            if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3'] and is_nsfw_task:
                should_blur = True
            
            # Apply blur processing
            if should_blur:
                if progress is not None:
                    progress(0.95, desc=t("status_applying_filter", lang))
                
                blurred_image = apply_gaussian_blur_to_image_url(result_url)
                if blurred_image is not None:
                    final_result = blurred_image  # Return PIL Image object
                    final_message = t("warning_content_filter", lang)
                    print(f"🔒 Local edit applied Gaussian blur for NSFW content - IP: {client_ip}")
                else:
                    # Blur failed, return original URL with warning
                    final_result = result_url
                    final_message = t("warning_content_review", lang)
                
                # Generate NSFW button for blurred content
                nsfw_action_buttons_html = f"""
                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                    <a href='https://omnicreator.net/#generator' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 200px;
                        box-shadow: 0 4px 15px rgba(255, 107, 107, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>🔥 Unlimited Creative Generation</a>
                </div>
                """
                return final_result, final_message, gr.update(value=nsfw_action_buttons_html, visible=True)
            else:
                final_result = result_url
                final_message = t("status_completed_message", lang).format(message=message)
            
            try:
                if progress is not None:
                    progress(1.0, desc=t("status_processing_completed", lang))
            except Exception as e:
                print(f"⚠️ Local edit final progress update failed: {e}")
            
            # Generate action buttons HTML like Trump AI Voice
            action_buttons_html = ""
            if task_uuid:
                # Create image-to-video URL with input image, end image, and prompt
                from urllib.parse import quote
                # Use result URL as end_image, original upload URL as input_image
                encoded_prompt = quote(clean_prompt)
                image_to_video_url = f"https://omnicreator.net/image-to-video?input_image={input_image_url}&end_image={result_url}&prompt={encoded_prompt}"
                action_buttons_html = f"""
                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                    <a href='https://omnicreator.net/local-inpaint' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 160px;
                        box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>&#128640; Unlimited Generation</a>
                    <a href='{image_to_video_url}' target='_blank' style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 16px 32px; 
                        background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%);
                        color: white; 
                        text-decoration: none; 
                        border-radius: 12px; 
                        font-weight: 600;
                        font-size: 16px;
                        text-align: center;
                        min-width: 160px;
                        box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
                        transition: all 0.3s ease;
                        border: none;
                    '>&#127909; Turn Image to Video</a>
                </div>
                """
            
            # Add popup script if needed (using different approach)
            if show_like_tip:
                action_buttons_html += """
                <div style='display: flex; justify-content: center; margin: 15px 0 5px 0; padding: 0px;'>
                    <div style='
                        display: inline-flex; 
                        align-items: center;
                        justify-content: center;
                        padding: 12px 24px; 
                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
                        color: white; 
                        border-radius: 10px; 
                        font-weight: 600;
                        font-size: 14px;
                        text-align: center;
                        max-width: 400px;
                        box-shadow: 0 3px 12px rgba(255, 107, 107, 0.3);
                        border: none;
                    '>👉 Click the ❤️ Like button to unlock more free trial attempts!</div>
                </div>
                """
            
            return final_result, final_message, gr.update(value=action_buttons_html, visible=True)
        else:
            print(f"❌ Local editing processing failed - IP: {client_ip}, error: {message}", flush=True)
            return None, t("error_processing_failed", lang).format(message=message), gr.update(visible=False)
            
    except Exception as e:
        print(f"❌ Local editing exception - IP: {client_ip}, error: {str(e)}")
        return None, t("error_processing_exception", lang).format(error=str(e)), gr.update(visible=False)

# Create Gradio interface
def create_app():
    with gr.Blocks(
        title="AI Image Editor",
        theme=gr.themes.Soft(),
        css="""
        .main-container {
            max-width: 1200px;
            margin: 0 auto;
        }
        .news-banner-row {
            margin: 10px auto 15px auto;
            padding: 0 10px;
            max-width: 1200px;
            width: 100% !important;
        }
        .news-banner-row .gr-row {
            display: flex !important;
            align-items: center !important;
            width: 100% !important;
        }
        .news-banner-row .gr-column:first-child {
            flex: 1 !important; /* 占据所有剩余空间 */
            display: flex !important;
            justify-content: center !important; /* 在其空间内居中 */
        }
        .banner-lang-selector {
            margin-left: auto !important;
            display: flex !important;
            justify-content: flex-end !important;
            align-items: center !important;
            position: relative !important;
            z-index: 10 !important;
        }
        .banner-lang-selector .gr-dropdown {
            background: white !important;
            border: 1px solid #ddd !important;
            border-radius: 8px !important;
            padding: 8px 16px !important;
            font-size: 14px !important;
            font-weight: 500 !important;
            color: #333 !important;
            cursor: pointer !important;
            box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1) !important;
            min-width: 140px !important;
            max-width: 160px !important;
            transition: all 0.2s ease !important;
        }
        .banner-lang-selector .gr-dropdown:hover {
            border-color: #999 !important;
            box-shadow: 0 2px 8px rgba(0, 0, 0, 0.15) !important;
        }
        @media (max-width: 768px) {
            .news-banner-row {
                padding: 0 15px !important;
            }
            .news-banner-row .gr-row {
                display: flex !important;
                flex-direction: column !important;
                gap: 10px !important;
                position: static !important;
            }
            .news-banner-row .gr-column:first-child {
                position: static !important;
                pointer-events: auto !important;
            }
            .banner-lang-selector {
                margin-left: 0 !important;
                justify-content: center !important;
            }
        }
        .upload-area {
            border: 2px dashed #ccc;
            border-radius: 10px;
            padding: 20px;
            text-align: center;
        }
        .result-area {
            margin-top: 20px;
            padding: 20px;
            border-radius: 10px;
            background-color: #f8f9fa;
        }
        .use-as-input-btn {
            margin-top: 10px;
            width: 100%;
        }
        """,
        # Improve concurrency performance configuration
        head="""
        <script>
        // Reduce client-side state update frequency, avoid excessive SSE connections
        if (window.gradio) {
            window.gradio.update_frequency = 2000; // Update every 2 seconds
        }
        </script>
        """
    ) as app:
        
        lang_state = gr.State("en")

        # Main title - centered
        header_title = gr.HTML(f"""
        <div style="text-align: center; margin: 20px auto 10px auto; max-width: 800px;">
            <h1 style="color: #2c3e50; margin: 0; font-size: 3.5em; font-weight: 800; letter-spacing: 3px; text-shadow: 2px 2px 4px rgba(0,0,0,0.1);">
                {t('header_title', 'en')}
            </h1>
        </div>
        """)
        
        # 🌟 NEW: Multi-Image Editing Announcement Banner with language selector
        with gr.Row(elem_classes=["news-banner-row"]):
            with gr.Column(scale=1, min_width=400):
                news_banner = gr.HTML(f"""
                <style>
                @keyframes breathe {{
                    0%, 100% {{ transform: scale(1); }}
                    50% {{ transform: scale(1.02); }}
                }}
                .breathing-banner {{
                    animation: breathe 3s ease-in-out infinite;
                }}
                </style>
                <div class="breathing-banner" style="
                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                    margin: 0 auto;
                    padding: 8px 40px;
                    border-radius: 20px;
                    max-width: 600px;
                    box-shadow: 0 2px 8px rgba(102, 126, 234, 0.3);
                    text-align: center;
                    width: fit-content;
                ">
                    <span style="color: white; font-weight: 600; font-size: 1.0em;">
                        {t('news_banner_prefix', 'en')} 
                        <a href="https://huggingface.co/spaces/Selfit/Multi-Image-Edit" target="_blank" style="
                            color: white; 
                            text-decoration: none; 
                            border-bottom: 1px solid rgba(255,255,255,0.5);
                            transition: all 0.3s ease;
                        " onmouseover="this.style.borderBottom='1px solid white'" 
                           onmouseout="this.style.borderBottom='1px solid rgba(255,255,255,0.5)'">
                           {t('news_banner_link', 'en')}
                        </a>
                    </span>
                </div>
                """)
            
            with gr.Column(scale=0, min_width=160, elem_classes=["banner-lang-selector"]):
                lang_dropdown = gr.Dropdown(
                    choices=[
                        ("English", "en"), 
                        ("中文", "zh"),
                        ("Suomi", "fi"),
                        ("Español", "es"),
                        ("Português", "pt"),
                        ("Français", "fr"),
                        ("Deutsch", "de"), 
                        ("Italiano", "it"),
                        ("日本語", "ja"),
                        ("Русский", "ru"),
                        ("Українська", "uk"),
                        ("العربية", "ar"),
                        ("Nederlands", "nl"),
                        ("Norsk", "no"),
                        ("Svenska", "sv"),
                        ("Indonesian", "id"),
                        ("Tiếng Việt", "vi"),
                        ("עברית", "he"),
                        ("Türkçe", "tr"),
                        ("Dansk", "da")
                    ],
                    value="en",
                    label="🌐",
                    show_label=True,
                    interactive=True,
                    container=False
                )
        
        with gr.Tabs() as tabs:
            with gr.Tab(t("global_editor_tab", "en")) as global_tab:
                with gr.Row():
                    with gr.Column(scale=1):
                        upload_image_header = gr.Markdown(t("upload_image_header", "en"))
                        input_image = gr.Image(
                            label=t("upload_image_label", "en"),
                            type="pil",
                            height=512,
                            elem_classes=["upload-area"]
                        )

                        editing_instructions_header = gr.Markdown(t("editing_instructions_header", "en"))
                        prompt_input = gr.Textbox(
                            label=t("prompt_input_label", "en"),
                            placeholder=t("prompt_input_placeholder", "en"),
                            lines=3,
                            max_lines=5
                        )
                        
                        edit_button = gr.Button(
                            t("start_editing_button", "en"),
                            variant="primary",
                            size="lg"
                        )
                    
                    with gr.Column(scale=1):
                        editing_result_header = gr.Markdown(t("editing_result_header", "en"))
                        output_image = gr.Image(
                            label=t("output_image_label", "en"),
                            height=320,
                            elem_classes=["result-area"]
                        )
                        
                        use_as_input_btn = gr.Button(
                            t("use_as_input_button", "en"),
                            variant="secondary",
                            size="sm",
                            elem_classes=["use-as-input-btn"]
                        )
                        
                        status_output = gr.Textbox(
                            label=t("status_output_label", "en"),
                            lines=2,
                            max_lines=3,
                            interactive=False
                        )
                        
                        action_buttons = gr.HTML(visible=False)
                
                prompt_examples_header = gr.Markdown(t("prompt_examples_header", "en"))
                with gr.Row():
                    example_prompts = [
                        "Set the background to a grand opera stage with red curtains",
                        "Change the outfit into a traditional Chinese hanfu with flowing sleeves",
                        "Give the character blue dragon-like eyes with glowing pupils",
                        "Change lighting to soft dreamy pastel glow",
                        "Change pose to sitting cross-legged on the ground"
                    ]
                    
                    for prompt in example_prompts:
                        gr.Button(
                            prompt,
                            size="sm"
                        ).click(
                            lambda p=prompt: p,
                            outputs=prompt_input
                        )
                
                edit_button.click(
                    fn=edit_image_interface,
                    inputs=[input_image, prompt_input, lang_state],
                    outputs=[output_image, status_output, action_buttons],
                    show_progress=True,
                    concurrency_limit=20
                )
                
                def simple_use_as_input(output_img):
                    if output_img is not None:
                        return output_img
                    return None
                
                use_as_input_btn.click(
                    fn=simple_use_as_input,
                    inputs=[output_image],
                    outputs=[input_image]
                )

            with gr.Tab(t("local_inpaint_tab", "en")) as local_tab:
                with gr.Row():
                    with gr.Column(scale=1):
                        upload_and_draw_mask_header = gr.Markdown(t("upload_and_draw_mask_header", "en"))
                        local_input_image = gr.ImageEditor(
                            label=t("upload_and_draw_mask_label", "en"),
                            type="pil",
                            height=512,
                            brush=gr.Brush(colors=["#ff0000"], default_size=180),
                            elem_classes=["upload-area"]
                        )

                        reference_image_header = gr.Markdown(t("reference_image_header", "en"))
                        local_reference_image = gr.Image(
                            label=t("reference_image_label", "en"),
                            type="pil",
                            height=256
                        )
                        
                        local_editing_instructions_header = gr.Markdown(t("editing_instructions_header", "en"))
                        local_prompt_input = gr.Textbox(
                            label=t("local_prompt_input_label", "en"),
                            placeholder=t("local_prompt_input_placeholder", "en"),
                            lines=3,
                            max_lines=5
                        )
                        
                        local_edit_button = gr.Button(
                            t("start_local_editing_button", "en"),
                            variant="primary",
                            size="lg"
                        )
                    
                    with gr.Column(scale=1):
                        local_editing_result_header = gr.Markdown(t("editing_result_header", "en"))
                        local_output_image = gr.Image(
                            label=t("local_output_image_label", "en"),
                            height=320,
                            elem_classes=["result-area"]
                        )
                        
                        local_use_as_input_btn = gr.Button(
                            t("use_as_input_button", "en"),
                            variant="secondary",
                            size="sm",
                            elem_classes=["use-as-input-btn"]
                        )
                        
                        local_status_output = gr.Textbox(
                            label=t("status_output_label", "en"),
                            lines=2,
                            max_lines=3,
                            interactive=False
                        )
                        
                        local_action_buttons = gr.HTML(visible=False)
             
                local_edit_button.click(
                    fn=local_edit_interface,
                    inputs=[local_input_image, local_prompt_input, local_reference_image, lang_state],
                    outputs=[local_output_image, local_status_output, local_action_buttons],
                    show_progress=True,
                    concurrency_limit=20
                )
                
                def simple_local_use_as_input(output_img):
                    if output_img is not None:
                        return {
                            "background": output_img,
                            "layers": [],
                            "composite": output_img
                        }
                    return None
                
                local_use_as_input_btn.click(
                    fn=simple_local_use_as_input,
                    inputs=[local_output_image],
                    outputs=[local_input_image]
                )
                
                # Local inpaint example
                local_inpaint_example_header = gr.Markdown(t("local_inpaint_example_header", "en"))
                
                def load_local_example():
                    """Load panda to cat transformation example - simplified, mask handled in backend"""
                    try:
                        from PIL import Image
                        import os
                        
                        # Check file paths
                        main_path = "datas/panda01.jpeg"
                        ref_path = "datas/cat01.webp"
                        
                        # Load main image
                        if not os.path.exists(main_path):
                            return None, None, "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
                        
                        main_img = Image.open(main_path)
                        
                        # Load reference image  
                        if not os.path.exists(ref_path):
                            ref_img = None
                        else:
                            ref_img = Image.open(ref_path)
                        
                        # ImageEditor format
                        editor_data = {
                            "background": main_img,
                            "layers": [],
                            "composite": main_img
                        }
                        
                        # Special prompt to indicate this is the example case
                        prompt = "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
                        
                        # Return just the PIL image instead of dict format to avoid UI state issues
                        return main_img, ref_img, prompt
                        
                    except Exception as e:
                        return None, None, "EXAMPLE_PANDA_CAT_Transform the panda head into a cute cat head, keeping the body"
                    
                    # Example display
                panda_to_cat_example_header = gr.Markdown(t("panda_to_cat_example_header", "en"))
                with gr.Row():
                    with gr.Column(scale=2):
                        # Preview images for local example
                        with gr.Row():
                            try:
                                gr.Image("datas/panda01.jpeg", label=t("main_image_label", "en"), height=120, width=120, show_label=True, interactive=False)
                                gr.Image("datas/panda01m.jpeg", label=t("mask_label", "en"), height=120, width=120, show_label=True, interactive=False)
                                gr.Image("datas/cat01.webp", label=t("reference_label", "en"), height=120, width=120, show_label=True, interactive=False)
                            except:
                                gr.Markdown("*Preview images not available*")
                        panda_example_note = gr.Markdown(t("panda_example_note", "en"))
                    with gr.Column(scale=1):
                        load_panda_example_button = gr.Button(
                            t("load_panda_example_button", "en"),
                            size="lg",
                            variant="secondary"
                        )
                        load_panda_example_button.click(
                            fn=load_local_example,
                            outputs=[local_input_image, local_reference_image, local_prompt_input]
                        )
                
                # Add a refresh button to fix UI state issues
                refresh_editor_button = gr.Button(
                    t("refresh_editor_button", "en"), 
                    size="sm",
                    variant="secondary"
                )
                refresh_editor_button.click(
                    fn=lambda: gr.update(),
                    outputs=[local_input_image]
                )
        
        # SEO Content Section
        seo_html = gr.HTML()

        def get_seo_html(lang):
            return f"""
    <div style="width: 100%; margin: 50px 0; padding: 0 20px;">
        
        <div style="text-align: center; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 40px; border-radius: 20px; margin: 40px 0;">
            <h2 style="margin: 0 0 20px 0; font-size: 2.2em; font-weight: 700;">
                &#127912; {t('seo_unlimited_title', lang)}
            </h2>
            <p style="margin: 0 0 25px 0; font-size: 1.2em; opacity: 0.95; line-height: 1.6;">
                {t('seo_unlimited_desc', lang)}
            </p>
            
            <div style="display: flex; justify-content: center; gap: 25px; flex-wrap: wrap; margin: 30px 0;">
                <a href="https://omnicreator.net/#generator" target="_blank" style="
                    display: inline-flex; 
                    align-items: center;
                    justify-content: center;
                    padding: 20px 40px; 
                    background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
                    color: white; 
                    text-decoration: none; 
                    border-radius: 15px; 
                    font-weight: 700;
                    font-size: 18px;
                    text-align: center;
                    min-width: 250px;
                    box-shadow: 0 8px 25px rgba(255, 107, 107, 0.4);
                    transition: all 0.3s ease;
                    border: none;
                    transform: scale(1);
                " onmouseover="this.style.transform='scale(1.05)'" onmouseout="this.style.transform='scale(1)'">
                    &#128640; {t('seo_unlimited_button', lang)}
                </a>
                
            </div>
            
            <p style="color: rgba(255,255,255,0.9); font-size: 1em; margin: 20px 0 0 0;">
                {t('seo_unlimited_footer', lang)}
            </p>
        </div>

        <div style="text-align: center; margin: 25px auto; background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); padding: 35px; border-radius: 20px; box-shadow: 0 10px 30px rgba(0,0,0,0.1);">
            <h2 style="color: #2c3e50; margin: 0 0 20px 0; font-size: 1.9em; font-weight: 700;">
                &#11088; {t('seo_professional_title', lang)}
            </h2>
            <p style="color: #555; font-size: 1.1em; line-height: 1.6; margin: 0 0 20px 0; padding: 0 20px;">
                {t('seo_professional_desc', lang)}
            </p>
        </div>

        <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 25px; margin: 40px 0;">
            
            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #e74c3c;">
                <h3 style="color: #e74c3c; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    &#127919; {t('seo_feature1_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature1_desc', lang)}
                </p>
            </div>

            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #3498db;">
                <h3 style="color: #3498db; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    🔓 {t('seo_feature2_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature2_desc', lang)}
                </p>
            </div>

            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #27ae60;">
                <h3 style="color: #27ae60; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    &#9889; {t('seo_feature3_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature3_desc', lang)}
                </p>
            </div>

            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #9b59b6;">
                <h3 style="color: #9b59b6; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    &#127912; {t('seo_feature4_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature4_desc', lang)}
                </p>
            </div>

            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #f39c12;">
                <h3 style="color: #f39c12; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    &#128142; {t('seo_feature5_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature5_desc', lang)}
                </p>
            </div>

            <div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #34495e;">
                <h3 style="color: #34495e; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
                    🌍 {t('seo_feature6_title', lang)}
                </h3>
                <p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
                    {t('seo_feature6_desc', lang)}
                </p>
            </div>

        </div>

        <div style="background: linear-gradient(135deg, #ff9a9e 0%, #fecfef 50%, #fecfef 100%); padding: 30px; border-radius: 15px; margin: 40px 0;">
            <h3 style="color: #8b5cf6; text-align: center; margin: 0 0 25px 0; font-size: 1.5em; font-weight: 700;">
                &#128161; {t('seo_protips_title', lang)}
            </h3>
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 18px;">
                
                <div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
                    <strong style="color: #8b5cf6; font-size: 1.1em;">📝 {t('seo_protip1_title', lang)}</strong>
                    <p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">{t('seo_protip1_desc', lang)}</p>
                </div>

                <div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
                    <strong style="color: #8b5cf6; font-size: 1.1em;">&#127919; {t('seo_protip2_title', lang)}</strong>
                    <p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">{t('seo_protip2_desc', lang)}</p>
                </div>

                <div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
                    <strong style="color: #8b5cf6; font-size: 1.1em;">&#9889; {t('seo_protip3_title', lang)}</strong>
                    <p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">{t('seo_protip3_desc', lang)}</p>
                </div>

                <div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
                    <strong style="color: #8b5cf6; font-size: 1.1em;">&#128444; {t('seo_protip4_title', lang)}</strong>
                    <p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">{t('seo_protip4_desc', lang)}</p>
                </div>

            </div>
        </div>

        <div style="text-align: center; margin: 25px auto; background: linear-gradient(135deg, #a8edea 0%, #fed6e3 100%); padding: 35px; border-radius: 20px; box-shadow: 0 10px 30px rgba(0,0,0,0.1);">
            <h2 style="color: #2c3e50; margin: 0 0 20px 0; font-size: 1.8em; font-weight: 700;">
                &#128640; {t('seo_needs_title', lang)}
            </h2>
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 20px; margin: 25px 0; text-align: left;">
                
                <div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
                    <h4 style="color: #e74c3c; margin: 0 0 10px 0;">🎨 {t('seo_needs_art_title', lang)}</h4>
                    <ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
                        <li>{t('seo_needs_art_item1', lang)}</li>
                        <li>{t('seo_needs_art_item2', lang)}</li>
                        <li>{t('seo_needs_art_item3', lang)}</li>
                        <li>{t('seo_needs_art_item4', lang)}</li>
                    </ul>
                </div>

                <div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
                    <h4 style="color: #3498db; margin: 0 0 10px 0;">📸 {t('seo_needs_photo_title', lang)}</h4>
                    <ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
                        <li>{t('seo_needs_photo_item1', lang)}</li>
                        <li>{t('seo_needs_photo_item2', lang)}</li>
                        <li>{t('seo_needs_photo_item3', lang)}</li>
                        <li>{t('seo_needs_photo_item4', lang)}</li>
                    </ul>
                </div>

                <div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
                    <h4 style="color: #27ae60; margin: 0 0 10px 0;">🛍️ {t('seo_needs_ecom_title', lang)}</h4>
                    <ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
                        <li>{t('seo_needs_ecom_item1', lang)}</li>
                        <li>{t('seo_needs_ecom_item2', lang)}</li>
                        <li>{t('seo_needs_ecom_item3', lang)}</li>
                        <li>{t('seo_needs_ecom_item4', lang)}</li>
                    </ul>
                </div>

                <div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
                    <h4 style="color: #9b59b6; margin: 0 0 10px 0;">📱 {t('seo_needs_social_title', lang)}</h4>
                    <ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
                        <li>{t('seo_needs_social_item1', lang)}</li>
                        <li>{t('seo_needs_social_item2', lang)}</li>
                        <li>{t('seo_needs_social_item3', lang)}</li>
                        <li>{t('seo_needs_social_item4', lang)}</li>
                    </ul>
                </div>

            </div>
        </div>

    </div>
    """
        
        all_ui_components = [
            header_title, news_banner, 
            global_tab, upload_image_header, input_image, editing_instructions_header, prompt_input, edit_button,
            editing_result_header, output_image, use_as_input_btn, status_output, prompt_examples_header,
            local_tab, upload_and_draw_mask_header, local_input_image, reference_image_header, local_reference_image,
            local_editing_instructions_header, local_prompt_input, local_edit_button, local_editing_result_header,
            local_output_image, local_use_as_input_btn, local_status_output, local_inpaint_example_header,
            panda_to_cat_example_header, panda_example_note, load_panda_example_button, refresh_editor_button,
            seo_html,
        ]

        def update_ui_lang(lang):
            return {
                header_title: gr.update(value=f"""
                    <div style="text-align: center; margin: 20px auto 10px auto; max-width: 800px;">
                        <h1 style="color: #2c3e50; margin: 0; font-size: 3.5em; font-weight: 800; letter-spacing: 3px; text-shadow: 2px 2px 4px rgba(0,0,0,0.1);">
                            {t('header_title', lang)}
                        </h1>
                    </div>"""),
                news_banner: gr.update(value=f"""
                    <style>
                    @keyframes breathe {{ 0%, 100% {{ transform: scale(1); }} 50% {{ transform: scale(1.02); }} }}
                    .breathing-banner {{ animation: breathe 3s ease-in-out infinite; }}
                    </style>
                    <div class="breathing-banner" style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); margin: 5px auto 5px auto; padding: 6px 40px; border-radius: 20px; max-width: 700px; box-shadow: 0 2px 8px rgba(102, 126, 234, 0.3); text-align: center;">
                        <span style="color: white; font-weight: 600; font-size: 1.0em;">
                            {t('news_banner_prefix', lang)} 
                            <a href="https://huggingface.co/spaces/Selfit/Multi-Image-Edit" target="_blank" style="color: white; text-decoration: none; border-bottom: 1px solid rgba(255,255,255,0.5); transition: all 0.3s ease;" onmouseover="this.style.borderBottom='1px solid white'" onmouseout="this.style.borderBottom='1px solid rgba(255,255,255,0.5)'">
                               {t('news_banner_link', lang)}
                            </a>
                        </span>
                    </div>"""),
                global_tab: gr.update(label=t("global_editor_tab", lang)),
                upload_image_header: gr.update(value=t("upload_image_header", lang)),
                input_image: gr.update(label=t("upload_image_label", lang)),
                editing_instructions_header: gr.update(value=t("editing_instructions_header", lang)),
                prompt_input: gr.update(label=t("prompt_input_label", lang), placeholder=t("prompt_input_placeholder", lang)),
                edit_button: gr.update(value=t("start_editing_button", lang)),
                editing_result_header: gr.update(value=t("editing_result_header", lang)),
                output_image: gr.update(label=t("output_image_label", lang)),
                use_as_input_btn: gr.update(value=t("use_as_input_button", lang)),
                status_output: gr.update(label=t("status_output_label", lang)),
                prompt_examples_header: gr.update(value=t("prompt_examples_header", lang)),
                local_tab: gr.update(label=t("local_inpaint_tab", lang)),
                upload_and_draw_mask_header: gr.update(value=t("upload_and_draw_mask_header", lang)),
                local_input_image: gr.update(label=t("upload_and_draw_mask_label", lang)),
                reference_image_header: gr.update(value=t("reference_image_header", lang)),
                local_reference_image: gr.update(label=t("reference_image_label", lang)),
                local_editing_instructions_header: gr.update(value=t("editing_instructions_header", lang)),
                local_prompt_input: gr.update(label=t("local_prompt_input_label", lang), placeholder=t("local_prompt_input_placeholder", lang)),
                local_edit_button: gr.update(value=t("start_local_editing_button", lang)),
                local_editing_result_header: gr.update(value=t("editing_result_header", lang)),
                local_output_image: gr.update(label=t("local_output_image_label", lang)),
                local_use_as_input_btn: gr.update(value=t("use_as_input_button", lang)),
                local_status_output: gr.update(label=t("status_output_label", lang)),
                local_inpaint_example_header: gr.update(value=t("local_inpaint_example_header", lang)),
                panda_to_cat_example_header: gr.update(value=t("panda_to_cat_example_header", lang)),
                panda_example_note: gr.update(value=t("panda_example_note", lang)),
                load_panda_example_button: gr.update(value=t("load_panda_example_button", lang)),
                refresh_editor_button: gr.update(value=t("refresh_editor_button", lang)),
                seo_html: gr.update(value=get_seo_html(lang)),
            }

        def on_lang_change(lang):
            return lang, *update_ui_lang(lang).values()
            
        lang_dropdown.change(
            on_lang_change,
            inputs=[lang_dropdown],
            outputs=[lang_state] + all_ui_components
        )

        # IP query state for async loading
        ip_query_state = gr.State({"status": "pending", "ip": None, "lang": "en"})
        
        def on_load_immediate(request: gr.Request):
            """
            Load page with language based on robust IP detection
            
            Features:
            - Multiple fallback layers for IP extraction
            - Comprehensive error handling
            - Always returns valid language (defaults to English)
            - Detailed logging for debugging
            """
            # Extract client IP with multiple fallback methods
            client_ip = None
            try:
                # Primary method: direct client host
                client_ip = request.client.host
                
                # Secondary method: check forwarded headers  
                headers = dict(request.headers) if hasattr(request, 'headers') else {}
                x_forwarded_for = headers.get('x-forwarded-for') or headers.get('X-Forwarded-For')
                if x_forwarded_for:
                    # Take first IP from comma-separated list
                    client_ip = x_forwarded_for.split(',')[0].strip()
                
                # Alternative headers
                if not client_ip or client_ip in ["127.0.0.1", "localhost"]:
                    client_ip = headers.get('x-real-ip') or headers.get('X-Real-IP') or client_ip
                
            except Exception as e:
                print(f"Error extracting client IP: {e}, using default")
                client_ip = "unknown"
            
            # Validate extracted IP
            if not client_ip:
                client_ip = "unknown"
            
            print(f"Loading page for IP: {client_ip}")
            
            # Determine language with robust error handling
            try:
                # Check if IP is already cached (second+ visit)
                if client_ip in IP_Country_Cache:
                    # Use cached data - very fast
                    cached_lang = get_lang_from_ip(client_ip)
                    # Validate cached language
                    if cached_lang and len(cached_lang) == 2:
                        print(f"Using cached language: {cached_lang} for IP: {client_ip}")
                        query_state = {"ip": client_ip, "cached": True}
                        return cached_lang, cached_lang, query_state, *update_ui_lang(cached_lang).values()
                
                # First visit: Query IP and determine language (max 3s timeout built-in)
                print(f"First visit - detecting language for IP: {client_ip}")
                detected_lang = get_lang_from_ip(client_ip)
                
                # Double-check the detected language is valid
                if not detected_lang or len(detected_lang) != 2:
                    print(f"Invalid detected language '{detected_lang}', using English")
                    detected_lang = "en"
                
                print(f"First visit - Final language: {detected_lang} for IP: {client_ip}")
                query_state = {"ip": client_ip, "cached": False}
                return detected_lang, detected_lang, query_state, *update_ui_lang(detected_lang).values()
                
            except Exception as e:
                # Ultimate fallback - always works
                print(f"Critical error in language detection for {client_ip}: {e}")
                print("Using English as ultimate fallback")
                query_state = {"ip": client_ip or "unknown", "cached": False, "error": str(e)}
                return "en", "en", query_state, *update_ui_lang("en").values()


        app.load(
            on_load_immediate,
            inputs=None,
            outputs=[lang_state, lang_dropdown, ip_query_state] + all_ui_components,
        )

    return app

if __name__ == "__main__":
    app = create_app()
    # Improve queue configuration to handle high concurrency and prevent SSE connection issues
    app.queue(
        default_concurrency_limit=20,  # Default concurrency limit
        max_size=50,  # Maximum queue size
        api_open=False  # Close API access to reduce resource consumption
    )
    app.launch(
        server_name="0.0.0.0",
        show_error=True,  # Show detailed error information
        quiet=False,  # Keep log output
        max_threads=40,  # Increase thread pool size
        height=800,
        favicon_path=None  # Reduce resource loading
    )