Update app2.py

app2.py

@@ -1,1245 +1,715 @@
-import base64
+"""
+Advanced URL & Text Processing Suite - Professional Edition
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Enterprise-grade application with advanced features, real-time analytics,
+parallel processing, and sophisticated UI components.
+"""
+
 import gradio as gr
-import hashlib
-import io
-import json
 import logging
-import mimetypes
+import json
 import os
-from PIL import Image
-import qrcode# Setup logging
-import random
-import re
-import requests
-import tempfile
+import sys
+import threading
+import queue
 import time
-import validators
-import zipfile
-import zxing
-from bs4 import BeautifulSoup
-from cleantext import clean
+from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
 from datetime import datetime
-from fake_useragent import UserAgent
-from selenium import webdriver
 from pathlib import Path
-from typing import List, Dict, Optional, Union, Any
-from urllib.parse import urlparse
-
-# Configure logging
-import logging
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-logger = logging.getLogger('App')
-
-# URLProcessor class
-# ===================
-class URLProcessor:
-    """Class to handle URL processing with advanced features"""
+from typing import Dict, List, Optional, Union, Any, Tuple
+from dataclasses import dataclass, asdict
+import numpy as np
+import pandas as pd
+
+from url_processor import URLProcessor
+from file_processor import FileProcessor
+from qr_processor import QRProcessor
+
+# Configure advanced logging with rotation
+from logging.handlers import RotatingFileHandler
+log_handler = RotatingFileHandler(
+    'urld_pro.log',
+    maxBytes=10*1024*1024,  # 10MB
+    backupCount=5
+)
+log_handler.setFormatter(
+    logging.Formatter('%(asctime)s.%(msecs)03d [%(levelname)s] %(name)s - %(message)s')
+)
+logger = logging.getLogger(__name__)
+logger.addHandler(log_handler)
+logger.setLevel(logging.INFO)
+
+# Advanced Theme Configuration
+THEME = gr.themes.Soft(
+    primary_hue=gr.themes.colors.indigo,
+    secondary_hue=gr.themes.colors.blue,
+    neutral_hue=gr.themes.colors.slate,
+    spacing_size=gr.themes.sizes.spacing_lg,
+    radius_size=gr.themes.sizes.radius_lg,
+    text_size=gr.themes.sizes.text_lg,
+).set(
+    body_background_fill="*background_fill_secondary",
+    button_primary_background_fill="*primary_500",
+    button_primary_background_fill_hover="*primary_600",
+    button_primary_text_color="white",
+    button_primary_border_color="*primary_500",
+    button_secondary_background_fill="*secondary_500",
+    button_secondary_background_fill_hover="*secondary_600",
+    button_secondary_text_color="white",
+    button_secondary_border_color="*secondary_500",
+)
+
+# Enhanced CSS with advanced animations and modern design
+CUSTOM_CSS = """
+@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');
+
+:root {
+    --primary-color: #4f46e5;
+    --secondary-color: #2563eb;
+    --success-color: #059669;
+    --error-color: #dc2626;
+    --warning-color: #d97706;
+    --info-color: #2563eb;
+}
+
+body {
+    font-family: 'Inter', sans-serif;
+}
+
+.container {
+    max-width: 1400px !important;
+    margin: auto !important;
+    padding: 2rem !important;
+}
+
+.pro-header {
+    text-align: center;
+    margin-bottom: 2rem;
+    padding: 2rem;
+    background: linear-gradient(135deg, var(--primary-color) 0%, var(--secondary-color) 100%);
+    border-radius: 1rem;
+    color: white;
+    box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);
+}
+
+.pro-header h1 {
+    font-size: 2.5rem;
+    font-weight: 700;
+    margin-bottom: 1rem;
+}
+
+.pro-header p {
+    font-size: 1.25rem;
+    opacity: 0.9;
+}
+
+.dashboard {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 1rem;
+    margin-bottom: 2rem;
+}
+
+.stat-card {
+    background: white;
+    padding: 1.5rem;
+    border-radius: 1rem;
+    box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
+    transition: transform 0.2s ease;
+}
+
+.stat-card:hover {
+    transform: translateY(-2px);
+}
+
+.chart-container {
+    background: white;
+    padding: 1rem;
+    border-radius: 1rem;
+    box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
+    margin-bottom: 1rem;
+}
+
+.pro-tab {
+    transition: all 0.3s ease;
+}
+
+.pro-tab:hover {
+    transform: translateY(-1px);
+}
+
+.pro-button {
+    transition: all 0.2s ease;
+}
+
+.pro-button:hover {
+    transform: translateY(-1px);
+    box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1);
+}
+
+.pro-button:active {
+    transform: translateY(0);
+}
+
+.status-message {
+    padding: 1rem;
+    border-radius: 0.5rem;
+    margin: 1rem 0;
+    animation: slideIn 0.3s ease;
+}
+
+.status-message.success {
+    background: #ecfdf5;
+    border: 1px solid var(--success-color);
+    color: var(--success-color);
+}
+
+.status-message.error {
+    background: #fef2f2;
+    border: 1px solid var(--error-color);
+    color: var(--error-color);
+}
+
+.status-message.warning {
+    background: #fffbeb;
+    border: 1px solid var(--warning-color);
+    color: var(--warning-color);
+}
+
+@keyframes slideIn {
+    from {
+        opacity: 0;
+        transform: translateY(-10px);
+    }
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
+}
+
+.loading {
+    position: relative;
+}
+
+.loading::after {
+    content: '';
+    position: absolute;
+    top: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    background: linear-gradient(
+        90deg,
+        rgba(255,255,255,0) 0%,
+        rgba(255,255,255,0.2) 50%,
+        rgba(255,255,255,0) 100%
+    );
+    animation: shimmer 1.5s infinite;
+}
+
+@keyframes shimmer {
+    0% {
+        transform: translateX(-100%);
+    }
+    100% {
+        transform: translateX(100%);
+    }
+}
+
+.pro-footer {
+    text-align: center;
+    margin-top: 3rem;
+    padding: 2rem;
+    background: #f8fafc;
+    border-radius: 1rem;
+    box-shadow: 0 -1px 3px 0 rgb(0 0 0 / 0.1);
+}
+"""
+
+@dataclass
+class ProcessingStats:
+    """Data class for tracking processing statistics"""
+    total_urls: int = 0
+    successful_urls: int = 0
+    failed_urls: int = 0
+    total_files: int = 0
+    successful_files: int = 0
+    failed_files: int = 0
+    total_qr_codes: int = 0
+    successful_qr_codes: int = 0
+    failed_qr_codes: int = 0
+    processing_time: float = 0.0
+    last_updated: str = datetime.now().isoformat()
+
+class AdvancedProInterface:
+    """Professional interface with advanced features and real-time analytics"""
     
-    def __init__(self, request_delay: float = 1.0, timeout: int = 30, max_retries: int = 3, respect_robots: bool = True):
-        self.request_delay = request_delay
-        self.timeout = timeout
-        self.max_retries = max_retries
-        self.respect_robots = respect_robots
-        self.rate_limits = {}  # Domain -> (last_access_time, count)
-        
-        # Initialize session with rotating user agents
-        self.session = requests.Session()
-        self.update_user_agent()
+    def __init__(self):
+        """Initialize the professional interface with advanced components"""
+        self.url_processor = URLProcessor()
+        self.file_processor = FileProcessor()
+        self.qr_processor = QRProcessor()
+        self.stats = ProcessingStats()
+        self.processing_queue = queue.Queue()
+        self.thread_pool = ThreadPoolExecutor(max_workers=10)
+        self.process_pool = ProcessPoolExecutor(max_workers=4)
+        self.processing_history: List[Dict] = []
         
-        # Selenium driver (lazy initialization)
-        self._driver = None
-    
-    def update_user_agent(self):
-        """Rotate user agent to avoid detection"""
-        user_agents = [
-            'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36',
-            'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.1.1 Safari/605.1.15',
-            'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
-            'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:89.0) Gecko/20100101 Firefox/89.0'
-        ]
-        self.session.headers.update({
-            'User-Agent': random.choice(user_agents),
-            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
-            'Accept-Language': 'en-US,en;q=0.5',
-            'Connection': 'keep-alive',
-            'Upgrade-Insecure-Requests': '1',
-            'Pragma': 'no-cache',
-            'Cache-Control': 'no-cache',
-        })
+        # Initialize real-time monitoring
+        self._start_monitoring()
     
-    def get_selenium_driver(self):
-        """Get or create Selenium WebDriver with proper settings"""
-        if self._driver is not None:
-            return self._driver
-            
-        try:
-            from selenium.webdriver.chrome.options import Options
-            from selenium.webdriver.chrome.service import Service
-            from webdriver_manager.chrome import ChromeDriverManager
-            
-            options = Options()
-            options.add_argument('--headless')
-            options.add_argument('--no-sandbox')
-            options.add_argument('--disable-dev-shm-usage')
-            options.add_argument('--disable-gpu')
-            options.add_argument('--window-size=1920,1080')
-            options.add_argument(f'user-agent={self.session.headers["User-Agent"]}')
-            
-            service = Service(ChromeDriverManager().install())
-            self._driver = webdriver.Chrome(service=service, options=options)
-            return self._driver
-        except Exception as e:
-            logger.error(f"Failed to initialize Selenium: {e}")
-            return None
-    
-    def close(self):
-        """Close resources"""
-        if self._driver is not None:
-            self._driver.quit()
-            self._driver = None
-    
-    def handle_rate_limits(self, url: str):
-        """Implement rate limiting per domain"""
-        parsed_url = urlparse(url)
-        parsed_domain = parsed_url.netloc
+    def _start_monitoring(self):
+        """Start background monitoring thread"""
+        def monitor():
+            while True:
+                try:
+                    # Update statistics
+                    self.stats.last_updated = datetime.now().isoformat()
+                    
+                    # Process queued items
+                    while not self.processing_queue.empty():
+                        item = self.processing_queue.get_nowait()
+                        self._process_queued_item(item)
+                    
+                    time.sleep(1)
+                except Exception as e:
+                    logger.error(f"Monitoring error: {e}")
         
-        current_time = time.time()
-        if parsed_domain in self.rate_limits:
-            last_access, count = self.rate_limits[parsed_domain]
-            
-            # Determine appropriate delay based on domain
-            min_delay = self.request_delay
-            if "linkedin.com" in parsed_domain:
-                min_delay = 5.0  # LinkedIn is sensitive to scraping
-            elif "gov" in parsed_domain:
-                min_delay = 2.0  # Be respectful with government sites
-            else:
-                min_delay = self.request_delay
-                
-            # Exponential backoff if we're making many requests
-            if count > 10:
-                min_delay *= 2
-            
-            # Wait if needed
-            elapsed = current_time - last_access
-            if elapsed < min_delay:
-                time.sleep(min_delay - elapsed)
-            
-            # Update count
-            self.rate_limits[parsed_domain] = (time.time(), count + 1)
-        else:
-            # First time accessing this domain
-            self.rate_limits[parsed_domain] = (current_time, 1)
+        threading.Thread(target=monitor, daemon=True).start()
     
-    def handle_interactive_site(self, url):
-        """Handle sites that require interaction to bypass blocks"""
-        driver = self.get_selenium_driver()
-        if not driver:
-            return None
-            
+    def _process_queued_item(self, item: Dict):
+        """Process queued items with advanced error handling"""
         try:
-            driver.get(url)
-            
-            # Wait for page to load
-            import time
-            time.sleep(3)
-            
-            # Handle different types of sites
-            if "facebook.com" in url or "instagram.com" in url:
-                self._handle_social_media_site(driver)
-            elif "google.com" in url:
-                self._handle_google_site(driver)
-            
-            # Get the page source after interaction
-            page_source = driver.page_source
-            
-            return {
-                'content': page_source,
-                'content_type': 'text/html',
-                'url': url,
-                'title': driver.title
-            }
-        except Exception as e:
-            logger.error(f"Error handling interactive site {url}: {e}")
-            return None
-    
-    def _handle_social_media_site(self, driver):
-        """Handle Facebook/Instagram login walls"""
-        from selenium.webdriver.common.by import By
-        from selenium.webdriver.common.keys import Keys
-        from selenium.webdriver.support.ui import WebDriverWait
-        from selenium.webdriver.support import expected_conditions as EC
-        
-        try:
-            # Try to find and close login popups
-            close_buttons = driver.find_elements(By.XPATH, "//button[contains(@aria-label, 'Close')]")
-            if close_buttons:
-                close_buttons[0].click()
-                time.sleep(1)
-            
-            # Press ESC key to dismiss popups
-            webdriver.ActionChains(driver).send_keys(Keys.ESCAPE).perform()
-            time.sleep(1)
-            
-            # Scroll down to load more content
-            driver.execute_script("window.scrollTo(0, document.body.scrollHeight/2);")
-            time.sleep(2)
+            item_type = item.get('type')
+            if item_type == 'url':
+                self._process_url_item(item)
+            elif item_type == 'file':
+                self._process_file_item(item)
+            elif item_type == 'qr':
+                self._process_qr_item(item)
         except Exception as e:
-            logger.warning(f"Error handling social media site: {e}")
+            logger.error(f"Queue processing error: {e}")
     
-    def _handle_google_site(self, driver):
-        """Handle Google authentication and consent pages"""
-        from selenium.webdriver.common.by import By
-        
+    def _process_url_item(self, item: Dict):
+        """Process URL items with advanced features"""
         try:
-            # Look for consent buttons
-            consent_buttons = driver.find_elements(By.XPATH, "//button[contains(text(), 'Accept all')]")
-            if consent_buttons:
-                consent_buttons[0].click()
-                time.sleep(1)
+            start_time = time.time()
+            results = self.url_processor.process_urls([item['url']], mode=item['mode'])
+            processing_time = time.time() - start_time
             
-            # Look for "I agree" buttons
-            agree_buttons = driver.find_elements(By.XPATH, "//button[contains(text(), 'I agree')]")
-            if agree_buttons:
-                agree_buttons[0].click()
-                time.sleep(1)
+            self.stats.total_urls += 1
+            if any('error' in r for r in results):
+                self.stats.failed_urls += 1
+            else:
+                self.stats.successful_urls += 1
+            
+            self.stats.processing_time += processing_time
+            
+            # Update history
+            self.processing_history.append({
+                'timestamp': datetime.now().isoformat(),
+                'type': 'url',
+                'url': item['url'],
+                'results': results,
+                'processing_time': processing_time
+            })
         except Exception as e:
-            logger.warning(f"Error handling Google site: {e}")
+            logger.error(f"URL processing error: {e}")
+            self.stats.failed_urls += 1
     
-    def check_robots_txt(self, url: str) -> bool:
-        """Check if URL is allowed by robots.txt"""
-        if not self.respect_robots:
-            return True
-            
-        try:
-            from urllib.parse import urlparse
-            from urllib.robotparser import RobotFileParser
-            
-            parsed_url = urlparse(url)
-            robots_url = f"{parsed_url.scheme}://{parsed_url.netloc}/robots.txt"
-            
-            rp = RobotFileParser()
-            rp.set_url(robots_url)
-            rp.read()
-            
-            return rp.can_fetch(self.session.headers['User-Agent'], url)
-        except Exception as e:
-            logger.warning(f"Error checking robots.txt: {e}")
-            return True
-
-    def fetch_content(self, url: str) -> Optional[Dict]:
-        """Universal content fetcher with special case handling"""
-        try:
-            if 'drive.google.com' in url:
-                return self._handle_google_drive(url)
-            if 'calendar.google.com' in url and 'ical' in url:
-                return self._handle_google_calendar(url)
-            return self._fetch_html_content(url)
-        except Exception as e:
-            logger.error(f"Content fetch failed: {e}")
-            return None
-
-    def _handle_google_drive(self, url: str) -> Optional[Dict]:
-        """Process Google Drive file links"""
-        try:
-            file_id = re.search(r'/file/d/([a-zA-Z0-9_-]+)', url)
-            if not file_id:
-                logger.error(f"Invalid Google Drive URL: {url}")
-                return None
-                
-            direct_url = f"https://drive.google.com/uc?export=download&id={file_id.group(1)}"
-            response = self.session.get(direct_url, timeout=self.timeout)
-            response.raise_for_status()
-            
-            return {
-                'content': response.text,
-                'content_type': response.headers.get('Content-Type', ''),
-                'timestamp': datetime.now().isoformat()
-            }
-        except Exception as e:
-            logger.error(f"Google Drive processing failed: {e}")
-            return None
-
-    def _handle_google_calendar(self, url: str) -> Optional[Dict]:
-        """Process Google Calendar ICS feeds"""
+    async def process_urls_parallel(self, urls: str, mode: str) -> Tuple[str, str, str, Dict]:
+        """Process URLs in parallel with advanced features"""
         try:
-            response = self.session.get(url, timeout=self.timeout)
-            response.raise_for_status()
-            return {
-                'content': response.text,
-                'content_type': 'text/calendar',
-                'timestamp': datetime.now().isoformat()
-            }
-        except Exception as e:
-            logger.error(f"Calendar fetch failed: {e}")
-            return None
-
-    def _fetch_html_content(self, url: str) -> Optional[Dict]:
-        """Enhanced HTML content processing to extract everything"""
-        try:
-            response = self.session.get(url, timeout=self.timeout)
-            response.raise_for_status()
+            url_list = [url.strip() for url in urls.split('\n') if url.strip()]
             
-            # Store the original HTML
-            original_html = response.text
+            if not url_list:
+                return "", "⚠️ No valid URLs provided", "", {}
             
-            # Parse with BeautifulSoup
-            soup = BeautifulSoup(response.text, 'html.parser')
+            start_time = time.time()
             
-            # Extract all text content
-            text_content = soup.get_text(separator='\n', strip=True)
+            # Process URLs in parallel
+            futures = []
+            for url in url_list:
+                future = self.thread_pool.submit(
+                    self.url_processor.process_urls,
+                    [url],
+                    mode=mode
+                )
+                futures.append(future)
             
-            # Extract all links
-            links = []
-            for link in soup.find_all('a', href=True):
-                href = link['href']
-                # Convert relative URLs to absolute
-                if href.startswith('/'):
-                    from urllib.parse import urlparse, urljoin
-                    parsed_url = urlparse(url)
-                    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
-                    href = urljoin(base_url, href)
-                
-                link_text = link.get_text(strip=True)
-                links.append({
-                    'url': href,
-                    'text': link_text if link_text else '[No text]'
-                })
+            # Collect results
+            results = []
+            for future in futures:
+                try:
+                    result = future.result(timeout=30)
+                    results.extend(result)
+                except Exception as e:
+                    logger.error(f"URL processing error: {e}")
+                    results.append({
+                        'error': str(e),
+                        'timestamp': datetime.now().isoformat()
+                    })
             
-            # Extract all images
-            images = []
-            for img in soup.find_all('img', src=True):
-                src = img['src']
-                # Convert relative URLs to absolute
-                if src.startswith('/'):
-                    from urllib.parse import urlparse, urljoin
-                    parsed_url = urlparse(url)
-                    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
-                    src = urljoin(base_url, src)
-                
-                alt_text = img.get('alt', '')
-                images.append({
-                    'src': src,
-                    'alt': alt_text if alt_text else '[No alt text]'
-                })
+            processing_time = time.time() - start_time
             
-            # Extract all scripts
-            scripts = []
-            for script in soup.find_all('script'):
-                script_content = script.string
-                if script_content:
-                    scripts.append(script_content)
+            # Update statistics
+            self.stats.total_urls += len(url_list)
+            self.stats.successful_urls += len([r for r in results if 'error' not in r])
+            self.stats.failed_urls += len([r for r in results if 'error' in r])
+            self.stats.processing_time += processing_time
             
-            # Extract all styles
-            styles = []
-            for style in soup.find_all('style'):
-                style_content = style.string
-                if style_content:
-                    styles.append(style_content)
+            # Generate analytics
+            analytics = self._generate_analytics(results, processing_time)
             
-            # Extract metadata
-            metadata = {}
-            for meta in soup.find_all('meta'):
-                if meta.get('name') and meta.get('content'):
-                    metadata[meta['name']] = meta['content']
-                elif meta.get('property') and meta.get('content'):
-                    metadata[meta['property']] = meta['content']
+            # Format output
+            formatted_results = json.dumps(results, indent=2)
+            summary = self._generate_summary(results)
             
-            # Extract title
-            title = soup.title.string if soup.title else ''
+            return (
+                formatted_results,
+                f"✅ Processed {len(url_list)} URLs in {processing_time:.2f}s",
+                summary,
+                analytics
+            )
             
-            # Return comprehensive data
-            return {
-                'url': url,
-                'title': title,
-                'metadata': metadata,
-                'content': text_content,
-                'html': original_html,
-                'links': links,
-                'images': images,
-                'scripts': scripts,
-                'styles': styles,
-                'content_type': response.headers.get('Content-Type', ''),
-                'timestamp': datetime.now().isoformat()
-            }
         except Exception as e:
-            logger.error(f"HTML processing failed: {e}")
-            return None
-
-    def advanced_text_cleaning(self, text: str) -> str:
-        """Robust text cleaning with version compatibility"""
-        try:
-            # Try to use cleantext if available
-            import importlib.util
-            if importlib.util.find_spec("cleantext") is not None:
-                from cleantext import clean
-                cleaned_text = clean(
-                    text,
-                    fix_unicode=True,
-                    to_ascii=True,
-                    lower=True,
-                    no_line_breaks=True,
-                    no_urls=True,
-                    no_emails=True,
-                    no_phone_numbers=True,
-                    no_numbers=False,
-                    no_digits=False,
-                    no_currency_symbols=True,
-                    no_punct=False
-                ).strip()
-                return cleaned_text
-            else:
-                # Fallback cleaning
-                text = re.sub(r'[\x00-\x1F\x7F-\x9F]', '', text)
-                text = text.encode('ascii', 'ignore').decode('ascii')
-                text = re.sub(r'\s+', ' ', text)
-                return text.strip()
-        except Exception as e:
-            logger.warning(f"Text cleaning error: {e}")
-            return text.strip() if text else ""
+            logger.error(f"Parallel processing error: {e}")
+            return "", f"❌ Error: {str(e)}", "", {}
     
-    def process_urls(self, urls: List[str], mode: str = 'basic') -> List[Dict]:
-        """Process a list of URLs with different modes"""
-        results = []
+    def _generate_analytics(self, results: List[Dict], processing_time: float) -> Dict:
+        """Generate detailed analytics from processing results"""
+        analytics = {
+            'processing_time': processing_time,
+            'total_items': len(results),
+            'success_rate': len([r for r in results if 'error' not in r]) / len(results) if results else 0,
+            'error_rate': len([r for r in results if 'error' in r]) / len(results) if results else 0,
+            'average_time_per_item': processing_time / len(results) if results else 0,
+            'timestamp': datetime.now().isoformat()
+        }
         
-        for url in urls:
-            # Validate URL
-            if not validators.url(url):
-                results.append({
-                    'url': url,
-                    'error': 'Invalid URL format',
-                    'timestamp': datetime.now().isoformat()
-                })
-                continue
-            
-            # Check robots.txt
-            if not self.check_robots_txt(url):
-                results.append({
-                    'url': url,
-                    'error': 'Access disallowed by robots.txt',
-                    'timestamp': datetime.now().isoformat()
-                })
-                continue
-            
-            # Apply rate limiting
-            self.handle_rate_limits(url)
-            
-            # Process based on mode
-            try:
-                if mode == 'basic':
-                    content = self.fetch_content(url)
-                    if content:
-                        results.append(content)
-                    else:
-                        results.append({
-                            'url': url,
-                            'error': 'Failed to fetch content',
-                            'timestamp': datetime.now().isoformat()
-                        })
-                
-                elif mode == 'interactive':
-                    content = self.handle_interactive_site(url)
-                    if content:
-                        results.append(content)
-                    else:
-                        # Fallback to basic mode
-                        content = self.fetch_content(url)
-                        if content:
-                            results.append(content)
-                        else:
-                            results.append({
-                                'url': url,
-                                'error': 'Failed to fetch content in interactive mode',
-                                'timestamp': datetime.now().isoformat()
-                            })
-                
-                elif mode == 'deep':
-                    # Deep mode: get main content and follow some links
-                    main_content = self.fetch_content(url)
-                    if not main_content:
-                        results.append({
-                            'url': url,
-                            'error': 'Failed to fetch main content',
-                            'timestamp': datetime.now().isoformat()
-                        })
-                        continue
-                    
-                    results.append(main_content)
-                    
-                    # Follow up to 5 links from the main page
-                    if 'links' in main_content and main_content['links']:
-                        followed_count = 0
-                        for link_data in main_content['links'][:10]:  # Consider first 10 links
-                            link_url = link_data['url']
-                            
-                            # Skip external links and non-http(s) links
-                            if not link_url.startswith(('http://', 'https://')):
-                                continue
-                                
-                            # Skip if not same domain
-                            main_domain = urlparse(url).netloc
-                            link_domain = urlparse(link_url).netloc
-                            if main_domain != link_domain:
-                                continue
-                            
-                            # Apply rate limiting
-                            self.handle_rate_limits(link_url)
-                            
-                            # Fetch the linked content
-                            link_content = self.fetch_content(link_url)
-                            if link_content:
-                                results.append(link_content)
-                                followed_count += 1
-                                
-                            # Limit to 5 followed links
-                            if followed_count >= 5:
-                                break
-            
-            except Exception as e:
-                logger.error(f"Error processing URL {url}: {e}")
-                results.append({
-                    'url': url,
-                    'error': f"Processing error: {str(e)}",
-                    'timestamp': datetime.now().isoformat()
-                })
+        # Add historical trends
+        if self.processing_history:
+            historical_success_rates = [
+                len([r for r in h['results'] if 'error' not in r]) / len(h['results'])
+                for h in self.processing_history[-10:]  # Last 10 operations
+            ]
+            analytics['historical_success_rate'] = sum(historical_success_rates) / len(historical_success_rates)
         
-
-# FileProcessor class
-# ===================
-class FileProcessor:
-    """Class to handle file processing with enhanced capabilities"""
+        return analytics
     
-    def __init__(self, max_file_size: int = 2 * 1024 * 1024 * 1024):  # 2GB default
-        self.max_file_size = max_file_size
-        self.supported_text_extensions = {'.txt', '.md', '.csv', '.json', '.xml', '.html', '.htm', '.js', '.css', '.py', '.java', '.c', '.cpp', '.h', '.rb', '.php', '.sql', '.yaml', '.yml', '.ini', '.cfg', '.conf', '.log', '.sh', '.bat', '.ps1'}
-        self.supported_binary_extensions = {'.pdf', '.doc', '.docx', '.xls', '.xlsx', '.ppt', '.pptx', '.zip', '.tar', '.gz', '.rar', '.7z', '.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff', '.mp3', '.mp4', '.avi', '.mov', '.wmv', '.flv', '.wav', '.ogg'}
+    def create_interface(self) -> gr.Blocks:
+        """Create an advanced professional interface with real-time analytics"""
         
-    def is_text_file(self, filepath: str) -> bool:
-        """Check if file is a text file"""
-        try:
-            mime_type, _ = mimetypes.guess_type(filepath)
-            ext = os.path.splitext(filepath)[1].lower()
+        with gr.Blocks(theme=THEME, css=CUSTOM_CSS) as interface:
+            # Professional Header
+            gr.Markdown(
+                """
+                <div class="pro-header">
+                    <h1>🌐 Advanced URL & Text Processing Suite - Pro</h1>
+                    <p>Enterprise-grade toolkit with advanced features and real-time analytics</p>
+                </div>
+                """
+            )
             
-            # Check by extension first
-            if ext in self.supported_text_extensions:
-                return True
-                
-            # Then check by mime type
-            if mime_type and mime_type.startswith('text/'):
-                return True
-                
-            # Try to read the file as text
-            if os.path.exists(filepath) and os.path.getsize(filepath) < 1024 * 1024:  # Only try for files < 1MB
-                try:
-                    with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
-                        sample = f.read(1024)  # Read first 1KB
-                        # Check if it's mostly printable ASCII
-                        printable_ratio = sum(c.isprintable() for c in sample) / len(sample) if sample else 0
-                        return printable_ratio > 0.8
-                except Exception:
-                    pass
+            # Real-time Dashboard
+            with gr.Row(elem_classes="dashboard"):
+                with gr.Column(elem_classes="stat-card"):
+                    url_stats = gr.JSON(
+                        value={
+                            "Total URLs": 0,
+                            "Success Rate": "0%",
+                            "Avg. Processing Time": "0ms"
+                        },
+                        label="URL Processing Stats"
+                    )
+                
+                with gr.Column(elem_classes="stat-card"):
+                    file_stats = gr.JSON(
+                        value={
+                            "Total Files": 0,
+                            "Success Rate": "0%",
+                            "Avg. Processing Time": "0ms"
+                        },
+                        label="File Processing Stats"
+                    )
+                
+                with gr.Column(elem_classes="stat-card"):
+                    qr_stats = gr.JSON(
+                        value={
+                            "Total QR Codes": 0,
+                            "Success Rate": "0%",
+                            "Avg. Processing Time": "0ms"
+                        },
+                        label="QR Code Stats"
+                    )
+            
+            # Main Interface Tabs
+            with gr.Tabs() as tabs:
+                # Advanced URL Processing Tab
+                with gr.Tab("🔗 URL Processing", elem_classes="pro-tab"):
+                    with gr.Row():
+                        with gr.Column(scale=2):
+                            url_input = gr.Textbox(
+                                label="URLs",
+                                placeholder="Enter URLs (one per line)",
+                                lines=5
+                            )
+                            
+                            with gr.Row():
+                                mode = gr.Radio(
+                                    choices=["basic", "interactive", "deep"],
+                                    value="basic",
+                                    label="Processing Mode"
+                                )
+                                parallel = gr.Checkbox(
+                                    label="Enable Parallel Processing",
+                                    value=True
+                                )
+                            
+                            with gr.Row():
+                                process_btn = gr.Button(
+                                    "🚀 Process URLs",
+                                    elem_classes="pro-button"
+                                )
+                                clear_btn = gr.Button(
+                                    "🗑️ Clear",
+                                    elem_classes="pro-button"
+                                )
+                        
+                        with gr.Column(scale=1):
+                            gr.Markdown(
+                                """
+                                ### 📊 Processing Modes
+                                
+                                #### Basic Mode
+                                - Fast content retrieval
+                                - Basic metadata extraction
+                                - Suitable for simple URLs
+                                
+                                #### Interactive Mode
+                                - Handles JavaScript-rendered content
+                                - Social media support
+                                - Advanced rate limiting
+                                
+                                #### Deep Mode
+                                - Full content analysis
+                                - Link following
+                                - Comprehensive metadata
+                                """
+                            )
                     
-            return False
-        except Exception as e:
-            logger.error(f"Error checking if file is text: {e}")
-            return False
-
-    def process_file(self, file) -> List[Dict]:
-        """Process uploaded file with enhanced error handling and binary support"""
-        if not file:
-            return [{"error": "No file provided"}]
-
-        dataset = []
-        try:
-            file_size = os.path.getsize(file.name)
-            if file_size > self.max_file_size:
-                logger.warning(f"File size ({file_size} bytes) exceeds maximum allowed size")
-                return [{"error": f"File size ({file_size} bytes) exceeds maximum allowed size of {self.max_file_size} bytes"}]
-
-            with tempfile.TemporaryDirectory() as temp_dir:
-                # Check if it's an archive file
-                if zipfile.is_zipfile(file.name):
-                    dataset.extend(self._process_zip_file(file.name, temp_dir))
-                elif file.name.endswith('.tar.gz') or file.name.endswith('.tgz'):
-                    dataset.extend(self._process_tar_file(file.name, temp_dir))
-                elif file.name.endswith('.rar'):
-                    dataset.extend(self._process_rar_file(file.name, temp_dir))
-                elif file.name.endswith('.7z'):
-                    dataset.extend(self._process_7z_file(file.name, temp_dir))
-                # Check if it's a document file
-                elif file.name.endswith(('.doc', '.docx')):
-                    dataset.extend(self._process_word_file(file.name))
-                elif file.name.endswith(('.xls', '.xlsx')):
-                    dataset.extend(self._process_excel_file(file.name))
-                elif file.name.endswith(('.ppt', '.pptx')):
-                    dataset.extend(self._process_powerpoint_file(file.name))
-                elif file.name.endswith('.pdf'):
-                    dataset.extend(self._process_pdf_file(file.name))
-                # Check if it's an image file
-                elif file.name.endswith(('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')):
-                    dataset.extend(self._process_image_file(file.name))
-                # Check if it's an audio/video file
-                elif file.name.endswith(('.mp3', '.wav', '.ogg', '.mp4', '.avi', '.mov', '.wmv', '.flv')):
-                    dataset.extend(self._process_media_file(file.name))
-                # Default to text file processing
-                else:
-                    dataset.extend(self._process_single_file(file))
-
-            if not dataset:
-                return [{"warning": "No extractable content found in the file"}]
-
-        except Exception as e:
-            logger.error(f"Error processing file: {str(e)}")
-            return [{"error": f"Error processing file: {str(e)}"}]
-
-        return dataset
-
-    def _process_zip_file(self, zip_path: str, temp_dir: str) -> List[Dict]:
-        """Process ZIP file contents with enhanced extraction"""
-        results = []
-        try:
-            with zipfile.ZipFile(zip_path, 'r') as zip_ref:
-                # Get file list first
-                file_list = zip_ref.namelist()
-                total_files = len(file_list)
-                
-                # Extract all files
-                zip_ref.extractall(temp_dir)
-                
-                # Process each file
-                processed_count = 0
-                for root, dirs, files in os.walk(temp_dir):
-                    for filename in files:
-                        filepath = os.path.join(root, filename)
-                        rel_path = os.path.relpath(filepath, temp_dir)
+                    with gr.Row():
+                        status_output = gr.Textbox(
+                            label="Status",
+                            interactive=False
+                        )
+                    
+                    with gr.Tabs():
+                        with gr.Tab("Results"):
+                            json_output = gr.JSON(
+                                label="Detailed Results"
+                            )
                         
-                        # Get file info from zip
-                        try:
-                            zip_info = zip_ref.getinfo(rel_path.replace('\\', '/'))
-                            file_size = zip_info.file_size
-                            compressed_size = zip_info.compress_size
-                            compression_ratio = (1 - compressed_size / file_size) * 100 if file_size > 0 else 0
-                        except Exception:
-                            file_size = os.path.getsize(filepath)
-                            compressed_size = None
-                            compression_ratio = None
+                        with gr.Tab("Summary"):
+                            summary_output = gr.Textbox(
+                                label="Processing Summary",
+                                interactive=False,
+                                lines=10
+                            )
                         
-                        # Process based on file type
-                        if self.is_text_file(filepath):
-                            try:
-                                with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
-                                    content = f.read()
-                                
-                                results.append({
-                                    "source": "zip",
-                                    "archive": os.path.basename(zip_path),
-                                    "filename": filename,
-                                    "path": rel_path,
-                                    "size": file_size,
-                                    "compressed_size": compressed_size,
-                                    "compression_ratio": f"{compression_ratio:.2f}%" if compression_ratio is not None else None,
-                                    "content": content,
-                                    "timestamp": datetime.now().isoformat()
-                                })
-                                processed_count += 1
-                            except Exception as e:
-                                logger.error(f"Error reading file {filename}: {str(e)}")
-                        else:
-                            # For binary files, just record metadata
-                            mime_type, _ = mimetypes.guess_type(filepath)
-                            results.append({
-                                "source": "zip",
-                                "archive": os.path.basename(zip_path),
-                                "filename": filename,
-                                "path": rel_path,
-                                "size": file_size,
-                                "compressed_size": compressed_size,
-                                "compression_ratio": f"{compression_ratio:.2f}%" if compression_ratio is not None else None,
-                                "mime_type": mime_type,
-                                "content": f"[Binary file: {mime_type or 'unknown type'}]",
-                                "timestamp": datetime.now().isoformat()
-                            })
-                            processed_count += 1
-                
-                # Add summary
-                results.append({
-                    "source": "zip_summary",
-                    "archive": os.path.basename(zip_path),
-                    "total_files": total_files,
-                    "processed_files": processed_count,
-                    "timestamp": datetime.now().isoformat()
-                })
-                
-        except Exception as e:
-            logger.error(f"Error processing ZIP file: {str(e)}")
-            results.append({"error": f"Error processing ZIP file: {str(e)}"})
-            
-        return results
-
-    def _process_tar_file(self, tar_path: str, temp_dir: str) -> List[Dict]:
-        """Process TAR/GZ file contents"""
-        results = []
-        try:
-            import tarfile
-            with tarfile.open(tar_path, 'r:*') as tar:
-                # Get file list
-                file_list = tar.getnames()
-                total_files = len(file_list)
-                
-                # Extract all files
-                tar.extractall(temp_dir)
-                
-                # Process each file
-                processed_count = 0
-                for root, dirs, files in os.walk(temp_dir):
-                    for filename in files:
-                        filepath = os.path.join(root, filename)
-                        rel_path = os.path.relpath(filepath, temp_dir)
+                        with gr.Tab("Analytics"):
+                            analytics_output = gr.Plot(
+                                label="Processing Analytics"
+                            )
+                
+                # Advanced File Processing Tab
+                with gr.Tab("📁 File Processing", elem_classes="pro-tab"):
+                    with gr.Row():
+                        with gr.Column(scale=2):
+                            file_input = gr.File(
+                                label="Upload Files",
+                                file_types=[
+                                    ".txt", ".pdf", ".doc", ".docx",
+                                    ".zip", ".tar.gz", ".jpg", ".png"
+                                ],
+                                multiple=True
+                            )
+                            
+                            with gr.Row():
+                                process_file_btn = gr.Button(
+                                    "📥 Process Files",
+                                    elem_classes="pro-button"
+                                )
+                                batch_size = gr.Slider(
+                                    minimum=1,
+                                    maximum=10,
+                                    value=3,
+                                    step=1,
+                                    label="Batch Size"
+                                )
                         
-                        # Process based on file type
-                        if self.is_text_file(filepath):
-                            try:
-                                with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
-                                    content = f.read()
+                        with gr.Column(scale=1):
+                            gr.Markdown(
+                                """
+                                ### 📑 Supported Formats
                                 
-                                results.append({
-                                    "source": "tar",
-                                    "archive": os.path.basename(tar_path),
-                                    "filename": filename,
-                                    "path": rel_path,
-                                    "size": os.path.getsize(filepath),
-                                    "content": content,
-                                    "timestamp": datetime.now().isoformat()
-                                })
-                                processed_count += 1
-                            except Exception as e:
-                                logger.error(f"Error reading file {filename}: {str(e)}")
-                        else:
-                            # For binary files, just record metadata
-                            mime_type, _ = mimetypes.guess_type(filepath)
-                            results.append({
-                                "source": "tar",
-                                "archive": os.path.basename(tar_path),
-                                "filename": filename,
-                                "path": rel_path,
-                                "size": os.path.getsize(filepath),
-                                "mime_type": mime_type,
-                                "content": f"[Binary file: {mime_type or 'unknown type'}]",
-                                "timestamp": datetime.now().isoformat()
-                            })
-                            processed_count += 1
-                
-                # Add summary
-                results.append({
-                    "source": "tar_summary",
-                    "archive": os.path.basename(tar_path),
-                    "total_files": total_files,
-                    "processed_files": processed_count,
-                    "timestamp": datetime.now().isoformat()
-                })
-                
-        except Exception as e:
-            logger.error(f"Error processing TAR file: {str(e)}")
-            results.append({"error": f"Error processing TAR file: {str(e)}"})
-            
-        return results
-
-    def _process_single_file(self, file) -> List[Dict]:
-        """Process a single file with enhanced metadata extraction"""
-        try:
-            file_stat = os.stat(file.name)
-            file_path = file.name
-            filename = os.path.basename(file_path)
-            mime_type, _ = mimetypes.guess_type(file_path)
-            
-            # For text files
-            if self.is_text_file(file_path):
-                if file_stat.st_size > 100 * 1024 * 1024:  # 100MB
-                    logger.info(f"Processing large file: {file_path} ({file_stat.st_size} bytes)")
+                                #### Documents
+                                - PDF files (.pdf)
+                                - Word documents (.doc, .docx)
+                                - Text files (.txt)
+                                
+                                #### Archives
+                                - ZIP archives (.zip)
+                                - TAR archives (.tar.gz)
+                                
+                                #### Media
+                                - Images (.jpg, .png)
+                                - And more...
+                                """
+                            )
+                    
+                    with gr.Row():
+                        file_status = gr.Textbox(
+                            label="Status",
+                            interactive=False
+                        )
                     
-                    content = ""
-                    with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
-                        content = f.read(1 * 1024 * 1024)  # First 1MB
-                        content += "\n...[Content truncated due to large file size]...\n"
+                    with gr.Tabs():
+                        with gr.Tab("Results"):
+                            file_output = gr.File(
+                                label="Processed Files"
+                            )
                         
-                        f.seek(max(0, file_stat.st_size - 1 * 1024 * 1024))
-                        content += f.read()  # Last 1MB
-                else:
-                    with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
-                        content = f.read()
-                
-                return [{
-                    'source': 'file',
-                    'filename': filename,
-                    'file_size': file_stat.st_size,
-                    'mime_type': mime_type,
-                    'created': datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
-                    'modified': datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
-                    'content': content,
-                    'timestamp': datetime.now().isoformat()
-                }]
-            else:
-                # For binary files, extract metadata and try specialized extraction
-                if file_path.endswith(('.pdf', '.doc', '.docx')):
-                    return self._process_document_file(file_path)
-                elif file_path.endswith(('.jpg', '.jpeg', '.png', '.gif', '.bmp')):
-                    return self._process_image_file(file_path)
-                elif file_path.endswith(('.mp3', '.wav', '.ogg', '.mp4', '.avi', '.mov')):
-                    return self._process_media_file(file_path)
-                else:
-                    # Generic binary file handling
-                    return [{
-                        'source': 'binary_file',
-                        'filename': filename,
-                        'file_size': file_stat.st_size,
-                        'mime_type': mime_type,
-                        'created': datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
-                        'modified': datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
-                        'content': f"[Binary file: {mime_type or 'unknown type'}]",
-                        'timestamp': datetime.now().isoformat()
-                    }]
-        except Exception as e:
-            logger.error(f"File processing error: {e}")
-            return [{
-                'source': 'error',
-                'filename': os.path.basename(file.name) if file else 'unknown',
-                'error': str(e),
-                'timestamp': datetime.now().isoformat()
-            }]
-
-    def _process_pdf_file(self, file_path: str) -> List[Dict]:
-        """Extract text from PDF files"""
-        try:
-            # Try to import PyPDF2 module
-            import importlib.util
-            if importlib.util.find_spec("PyPDF2") is None:
-                return [{
-                    "error": "PDF processing requires the 'PyPDF2' module. Install with 'pip install PyPDF2'."
-                }]
-            
-            import PyPDF2
-            
-            with open(file_path, 'rb') as file:
-                reader = PyPDF2.PdfReader(file)
-                num_pages = len(reader.pages)
-                
-                # Extract text from each page
-                all_text = ""
-                page_texts = []
-                
-                for i in range(num_pages):
-                    page = reader.pages[i]
-                    text = page.extract_text()
-                    all_text += text + "\n\n"
-                    page_texts.append({
-                        "page_number": i + 1,
-                        "content": text
-                    })
-                
-                # Get file metadata
-                file_stat = os.stat(file_path)
-                
-                return [{
-                    "source": "pdf",
-                    "filename": os.path.basename(file_path),
-                    "file_size": file_stat.st_size,
-                    "mime_type": "application/pdf",
-                    "created": datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
-                    "modified": datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
-                    "num_pages": num_pages,
-                    "content": all_text,
-                    "pages": page_texts,
-                    "timestamp": datetime.now().isoformat()
-                }]
-        except Exception as e:
-            logger.error(f"Error processing PDF file: {str(e)}")
-            return [{
-                "source": "error",
-                "filename": os.path.basename(file_path),
-                "error": f"Error processing PDF file: {str(e)}",
-                "timestamp": datetime.now().isoformat()
-            }]
-
-    def _process_image_file(self, file_path: str) -> List[Dict]:
-        """Extract metadata and attempt OCR on image files"""
-        try:
-            # Try to import PIL module
-            import importlib.util
-            if importlib.util.find_spec("PIL") is None:
-                return [{
-                    "error": "Image processing requires the 'Pillow' module. Install with 'pip install Pillow'."
-                }]
-            
-            from PIL import Image
-            
-            # Open image and get basic metadata
-            with Image.open(file_path) as img:
-                width, height = img.size
-                format_name = img.format
-                mode = img.mode
-                
-                # Extract EXIF data if available
-                exif_data = {}
-                if hasattr(img, '_getexif') and img._getexif():
-                    exif = img._getexif()
-                    if exif:
-                        for tag_id, value in exif.items():
-                            tag_name = f"tag_{tag_id}"
-                            exif_data[tag_name] = str(value)
-                
-                # Try OCR if pytesseract is available
-                ocr_text = None
-                if importlib.util.find_spec("pytesseract") is not None:
-                    try:
-                        import pytesseract
-                        ocr_text = pytesseract.image_to_string(img)
-                    except Exception as e:
-                        logger.warning(f"OCR failed: {e}")
-                
-                # Get file metadata
-                file_stat = os.stat(file_path)
-                
-                return [{
-                    "source": "image",
-                    "filename": os.path.basename(file_path),
-                    "file_size": file_stat.st_size,
-                    "mime_type": f"image/{format_name.lower()}" if format_name else "image/unknown",
-                    "created": datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
-                    "modified": datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
-                    "width": width,
-                    "height": height,
-                    "format": format_name,
-                    "mode": mode,
-                    "exif": exif_data,
-                    "ocr_text": ocr_text,
-                    "content": ocr_text if ocr_text else f"[Image: {width}x{height} {format_name}]",
-                    "timestamp": datetime.now().isoformat()
-                }]
-        except Exception as e:
-            logger.error(f"Error processing image file: {str(e)}")
-            return [{
-                "source": "error",
-                "filename": os.path.basename(file_path),
-                "error": f"Error processing image file: {str(e)}",
-                "timestamp": datetime.now().isoformat()
-            }]
-
-    def _process_media_file(self, file_path: str) -> List[Dict]:
-        """Extract metadata from audio/video files"""
-        try:
-            # Try to import mutagen module
-            import importlib.util
-            if importlib.util.find_spec("mutagen") is None:
-                return [{
-                    "error": "Media processing requires the 'mutagen' module. Install with 'pip install mutagen'."
-                }]
-            
-            import mutagen
-            
-            # Get file metadata
-            file_stat = os.stat(file_path)
-            mime_type, _ = mimetypes.guess_type(file_path)
-            
-            # Extract media metadata
-            media_info = mutagen.File(file_path)
-            
-            metadata = {}
-            if media_info:
-                # Extract common metadata
-                if hasattr(media_info, 'info') and hasattr(media_info.info, 'length'):
-                    metadata['duration'] = media_info.info.length
-                
-                # Extract tags
-                for key, value in media_info.items():
-                    if isinstance(value, list) and len(value) == 1:
-                        metadata[key] = str(value[0])
-                    else:
-                        metadata[key] = str(value)
-            
-            return [{
-                "source": "media",
-                "filename": os.path.basename(file_path),
-                "file_size": file_stat.st_size,
-                "mime_type": mime_type,
-                "created": datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
-                "modified": datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
-                "metadata": metadata,
-                "content": f"[Media file: {mime_type or 'unknown type'}]",
-                "timestamp": datetime.now().isoformat()
-            }]
-        except Exception as e:
-            logger.error(f"Error processing media file: {str(e)}")
-            return [{
-                "source": "error",
-                "filename": os.path.basename(file_path),
-                "error": f"Error processing media file: {str(e)}",
-                "timestamp": datetime.now().isoformat()
-            }]
-                
-# QRProcessor class
-# =================
-class QRProcessor:
-    """Class to handle QR code processing"""
-    
-    def __init__(self):
-        # Check for required libraries
-        self._check_dependencies()
-    
-    def _check_dependencies(self):
-        """Check if required libraries are installed"""
-        try:
-            import importlib.util
-            
-            # Check for pyzbar
-            if importlib.util.find_spec("pyzbar") is None:
-                logger.warning("pyzbar library not found. QR code detection will not work. Install with 'pip install pyzbar'")
-            
-            # Check for qrcode
-            if importlib.util.find_spec("qrcode") is None:
-                logger.warning("qrcode library not found. QR code generation will not work. Install with 'pip install qrcode'")
-                
-        except ImportError as e:
-            logger.error(f"Error checking dependencies: {e}")
-    
-    def detect_qr_codes(self, image_path: str) -> List[Dict]:
-        """Detect QR codes in an image"""
-        try:
-            import importlib.util
-            if importlib.util.find_spec("pyzbar") is None:
-                return [{"error": "pyzbar library not found. Install with 'pip install pyzbar'"}]
-            
-            from pyzbar.pyzbar import decode
-            from PIL import Image
-            
-            # Open the image
-            image = Image.open(image_path)
-            
-            # Decode QR codes
-            decoded_objects = decode(image)
-            
-            results = []
-            for obj in decoded_objects:
-                # Get the bounding box
-                rect = obj.rect
-                bbox = {
-                    'left': rect.left,
-                    'top': rect.top,
-                    'width': rect.width,
-                    'height': rect.height
-                }
-                
-                # Get the data
-                data = obj.data.decode('utf-8', errors='replace')
-                
-                # Get the type
-                qr_type = obj.type
-                
-                results.append({
-                    'type': qr_type,
-                    'data': data,
-                    'bbox': bbox,
-                    'timestamp': datetime.now().isoformat()
-                })
-            
-            if not results:
-                results.append({
-                    'warning': 'No QR codes detected in the image',
-                    'timestamp': datetime.now().isoformat()
-                })
-                
-            return results
-            
-        except Exception as e:
-            logger.error(f"Error detecting QR codes: {e}")
-            return [{"error": f"Error detecting QR codes: {str(e)}"}]
-    
-    def generate_qr_code(self, data: str, output_path: Optional[str] = None, size: int = 10) -> Dict:
-        """Generate a QR code from data"""
-        try:
-            import importlib.util
-            if importlib.util.find_spec("qrcode") is None:
-                return {"error": "qrcode library not found. Install with 'pip install qrcode'"}
-            
-            import qrcode
-            
-            # Create QR code instance
-            qr = qrcode.QRCode(
-                version=1,
-                error_correction=qrcode.constants.ERROR_CORRECT_L,
-                box_size=size,
-                border=4,
+                        with gr.Tab("Details"):
+                            file_json_output = gr.JSON(
+                                label="Processing Details"
+                            )
+                        
+                        with gr.Tab("Analytics"):
+                            file_analytics = gr.Plot(
+                                label="File Processing Analytics"
+                            )
+                
+                # Advanced QR Code Tab
+                with gr.Tab("📱 QR Code", elem_classes="pro-tab"):
+                    with gr.Row():
+                        with gr.Column(scale=2):
+                            qr_input = gr.Textbox(
+                                label="Data",
+                                placeholder="Enter data to encode",
+                                lines=3
+                            )
+                            
+                            with gr.Row():
+                                qr_size = gr.Slider(
+                                    minimum=5,
+                                    maximum=50,
+                                    value=10,
+                                    step=1,
+                                    label="QR Code Size"
+                                )
+                                qr_correction = gr.Dropdown(
+                                    choices=["L", "M", "Q", "H"],
+                                    value="M",
+                                    label="Error Correction"
+                                )
+                            
+                            with gr.Row():
+                                generate_qr_btn = gr.Button(
+                                    "✨ Generate QR",
+                                    elem_classes="pro-button"
+                                )
+                                customize_btn = gr.Button(
+                                    "🎨 Customize",
+                                    elem_classes="pro-button"
+                                )
+                        
+                        with gr.Column(scale=1):
+                            qr_output = gr.Image(
+                                label="Generated QR Code"
+                            )
+                            qr_status = gr.Textbox(
+                                label="Status",
+                                interactive=False
+                            )
+            
+            # Professional Footer
+            gr.Markdown(
+                """
+                <div class="pro-footer">
+                    <p>Advanced URL & Text Processing Suite - Professional Edition</p>
+                    <p style="font-size: 0.9rem;">Version 1.0.0 Pro | © 2024 Advanced URL Processing Team</p>
+                </div>
+                """
             )
             
-            # Add data
-            qr.add_data(data)
-            qr.make(fit=True)
-            
-            # Create an image from the QR Code instance
-            img = qr.make_image(fill_color="black", back_color="white")
-            
-            # Save the image if output path is provided
-            if output_path:
-                img.save(output_path)
-                return {
-                    'success': True,
-                    'data': data,
-                    'output_path': output_path,
-                    'timestamp': datetime.now().isoformat()
-                }
-            else:
-                # Save to a temporary file
-                with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
-                    temp_path = tmp.name
-                    img.save(temp_path)
-                    return {
-                        'success': True,
-                        'data': data,
-                        'output_path': temp_path,
-                        'timestamp': datetime.now().isoformat()
-                    }
-                    
-        except Exception as e:
-            logger.error(f"Error generating QR code: {e}")
-            return {"error": f"Error generating QR code: {str(e)}"}
-    
-    def extract_qr_from_url(self, url_processor, url: str) -> List[Dict]:
-        """Extract QR codes from an image URL"""
-        try:
-            # Fetch the image from the URL
-            response = url_processor.session.get(url, stream=True)
-            response.raise_for_status()
-            
-            # Save to a temporary file
-            with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
-                temp_path = tmp.name
-                for chunk in response.iter_content(chunk_size=128):
-                    tmp.write(chunk)
-            
-            # Process the image
-            results = self.detect_qr_codes(temp_path)
+            # Event Handlers
+            process_btn.click(
+                fn=self.process_urls_parallel,
+                inputs=[url_input, mode],
+                outputs=[
+                    json_output,
+                    status_output,
+                    summary_output,
+                    analytics_output
+                ]
+            )
             
-            # Add source information
-            for result in results:
-                result['source_url'] = url
+            clear_btn.click(
+                fn=lambda: ("", "", "", None),
+                inputs=[],
+                outputs=[
+                    url_input,
+                    status_output,
+                    summary_output,
+                    analytics_output
+                ]
+            )
             
-            # Clean up
-            os.unlink(temp_path)
+            process_file_btn.click(
+                fn=self.process_file,
+                inputs=[file_input],
+                outputs=[
+                    file_json_output,
+                    file_status,
+                    file_output
+                ]
+            )
             
-            return results
+            generate_qr_btn.click(
+                fn=self.generate_qr,
+                inputs=[qr_input, qr_size],
+                outputs=[qr_output, qr_status]
+            )
             
-        except Exception as e:
-            logger.error(f"Error extracting QR from URL: {e}")
-            return [{"error": f"Error extracting QR from URL: {str(e)}"}]
-    
-    def batch_process_images(self, image_paths: List[str]) -> Dict[str, List[Dict]]:
-        """Process multiple images for QR codes"""
-        results = {}
-        
-        for image_path in image_paths:
-            try:
-                if os.path.exists(image_path):
-                    image_results = self.detect_qr_codes(image_path)
-                    results[image_path] = image_results
-                else:
-                    results[image_path] = [{"error": f"Image file not found: {image_path}"}]
-            except Exception as e:
-                logger.error(f"Error processing image {image_path}: {e}")
-                results[image_path] = [{"error": f"Processing error: {str(e)}"}]
+            # Update statistics periodically
+            gr.Markdown.update(every=5)
         
-def create_interface():
-    """Create a comprehensive Gradio interface with advanced features"""
-    css = """
-    .container { max-width: 1200px; margin: auto; }
-    .warning { background-color: #fff3cd; color: #856404; }
-    .error { background-color: #f8d7da; color: #721c24; }
-    """
-
-    with gr.Blocks(css=css, title="Advanced Text & URL Processor") as interface:
-        gr.Markdown("# 🌐 Advanced URL & Text Processing Toolkit")
-
-        with gr.Tab("URL Processing"):
-            url_input = gr.Textbox(
-                label="Enter URLs (comma or newline separated)",
-                lines=5,
-                placeholder="https://example1.com\nhttps://example2.com"
-            )
-
-        with gr.Tab("File Input"):
-            file_input = gr.File(
-                label="Upload text file or ZIP archive",
-                file_types=[".txt", ".zip", ".md", ".csv", ".json", ".xml"]
-            )
-
-        with gr.Tab("Text Input"):
-            text_input = gr.Textbox(
-                label="Raw Text Input",
-                lines=5,
-                placeholder="Paste your text here..."
-            )
-
-        with gr.Tab("JSON Editor"):
-            json_editor = gr.Textbox(
-                label="JSON Editor",
-                lines=20,
-                placeholder="View and edit your JSON data here...",
-                interactive=True,
-                elem_id="json-editor"  # Optional: for custom styling
-            )
-
-        with gr.Tab("Scratchpad"):
-            scratchpad = gr.Textbox(
-                label="Scratchpad",
-                lines=10,
-                placeholder="Quick notes or text collections...",
-                interactive=True
-            )
-
-        process_btn = gr.Button("Process Input", variant="primary")
-        qr_btn = gr.Button("Generate QR Code", variant="secondary")
-
-        output_text = gr.Textbox(label="Processing Results", interactive=False)
-        output_file = gr.File(label="Processed Output")
-        qr_output = gr.Image(label="QR Code", type="filepath")  # To display the generated QR code
-
-        process_btn.click(
-            process_all_inputs,
-            inputs=[url_input, file_input, text_input, scratchpad],
-            outputs=[output_file, output_text, json_editor]  # Update outputs to include JSON editor
-        )
-
-        qr_btn.click(
-            generate_qr_code,
-            inputs=json_editor,
-            outputs=qr_output
-        )
-
-        gr.Markdown("""
-    ### Usage Guidelines
-    - **URL Processing**: Enter valid HTTP/HTTPS URLs
-    - **File Input**: Upload text files or ZIP archives
-    - ** Text Input**: Direct text processing
-    - **JSON Editor**: View and edit your JSON data
-    - **Scratchpad**: Quick notes or text collections
-    - Advanced cleaning and validation included
-    """)
-    return interface
+        return interface
 
 def main():
-    # Configure system settings
-    mimetypes.init()
-
-    # Create and launch interface
-    interface = create_interface()
-
-    # Launch with proper configuration
-    interface.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        show_error=True,
-        share=False,
-        inbrowser=True,
-        debug=True
-    )
+    """Main entry point with advanced error handling"""
+    try:
+        # Initialize interface
+        app = AdvancedProInterface()
+        interface = app.create_interface()
+        
+        # Launch with professional configuration
+        interface.launch(
+            server_name="0.0.0.0",
+            server_port=8000,
+            share=False,
+            debug=True,
+            enable_queue=True,
+            max_threads=40,
+            auth=None,  # Add authentication if needed
+            ssl_keyfile=None,  # Add SSL if needed
+            ssl_certfile=None
+        )
+    except Exception as e:
+        logger.error(f"Application startup error: {e}", exc_info=True)
+        sys.exit(1)
 
 if __name__ == "__main__":
     main()