Delete app.py

app.py

@@ -1,664 +0,0 @@
-import gradio as gr
-import os
-import requests
-import json
-import re
-from bs4 import BeautifulSoup
-from datetime import datetime
-import tempfile
-
-# Configuration
-SPACE_NAME = "search-aid"
-SPACE_DESCRIPTION = ""
-SYSTEM_PROMPT = """You are an advanced research assistant specializing in academic literature search and analysis. Your expertise includes finding peer-reviewed sources, critically evaluating research methodology, synthesizing insights across multiple papers, and providing properly formatted citations. When responding, ground all claims in specific sources from provided URL contexts, distinguish between direct evidence and analytical interpretation, and highlight any limitations or conflicting findings. Use clear, accessible language that makes complex research understandable, and suggest related areas of inquiry when relevant. Your goal is to be a knowledgeable research partner who helps users navigate academic information with precision and clarity."""
-MODEL = "google/gemini-2.0-flash-001"
-GROUNDING_URLS = []
-# Get access code from environment variable for security
-ACCESS_CODE = os.environ.get("SPACE_ACCESS_CODE", "")
-ENABLE_DYNAMIC_URLS = True
-ENABLE_VECTOR_RAG = False
-ENABLE_WEB_SEARCH = True
-RAG_DATA = None
-
-# Get API key from environment - customizable variable name with validation
-API_KEY = os.environ.get("OPENROUTER_API_KEY")
-if API_KEY:
-    API_KEY = API_KEY.strip()  # Remove any whitespace
-    if not API_KEY:  # Check if empty after stripping
-        API_KEY = None
-        
-# API Key validation and logging
-def validate_api_key():
-    """Validate API key configuration with detailed logging"""
-    if not API_KEY:
-        print(f"⚠️  API KEY CONFIGURATION ERROR:")
-        print(f"   Variable name: OPENROUTER_API_KEY")
-        print(f"   Status: Not set or empty")
-        print(f"   Action needed: Set 'OPENROUTER_API_KEY' in HuggingFace Space secrets")
-        print(f"   Expected format: sk-or-xxxxxxxxxx")
-        return False
-    elif not API_KEY.startswith('sk-or-'):
-        print(f"⚠️  API KEY FORMAT WARNING:")
-        print(f"   Variable name: OPENROUTER_API_KEY")
-        print(f"   Current value: {{API_KEY[:10]}}..." if len(API_KEY) > 10 else API_KEY)
-        print(f"   Expected format: sk-or-xxxxxxxxxx")
-        print(f"   Note: OpenRouter keys should start with 'sk-or-'")
-        return True  # Still try to use it
-    else:
-        print(f"✅ API Key configured successfully")
-        print(f"   Variable: OPENROUTER_API_KEY")
-        print(f"   Format: Valid OpenRouter key")
-        return True
-
-# Validate on startup
-API_KEY_VALID = validate_api_key()
-
-def validate_url_domain(url):
-    """Basic URL domain validation"""
-    try:
-        from urllib.parse import urlparse
-        parsed = urlparse(url)
-        # Check for valid domain structure
-        if parsed.netloc and '.' in parsed.netloc:
-            return True
-    except:
-        pass
-    return False
-
-def fetch_url_content(url):
-    """Enhanced URL content fetching with improved compatibility and error handling"""
-    if not validate_url_domain(url):
-        return f"Invalid URL format: {url}"
-    
-    try:
-        # Enhanced headers for better compatibility
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
-            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
-            'Accept-Language': 'en-US,en;q=0.5',
-            'Accept-Encoding': 'gzip, deflate',
-            'Connection': 'keep-alive'
-        }
-        
-        response = requests.get(url, timeout=15, headers=headers)
-        response.raise_for_status()
-        soup = BeautifulSoup(response.content, 'html.parser')
-        
-        # Enhanced content cleaning
-        for element in soup(["script", "style", "nav", "header", "footer", "aside", "form", "button"]):
-            element.decompose()
-        
-        # Extract main content preferentially
-        main_content = soup.find('main') or soup.find('article') or soup.find('div', class_=lambda x: bool(x and 'content' in x.lower())) or soup
-        text = main_content.get_text()
-        
-        # Enhanced text cleaning
-        lines = (line.strip() for line in text.splitlines())
-        chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
-        text = ' '.join(chunk for chunk in chunks if chunk and len(chunk) > 2)
-        
-        # Smart truncation - try to end at sentence boundaries
-        if len(text) > 4000:
-            truncated = text[:4000]
-            last_period = truncated.rfind('.')
-            if last_period > 3000:  # If we can find a reasonable sentence break
-                text = truncated[:last_period + 1]
-            else:
-                text = truncated + "..."
-        
-        return text if text.strip() else "No readable content found at this URL"
-        
-    except requests.exceptions.Timeout:
-        return f"Timeout error fetching {url} (15s limit exceeded)"
-    except requests.exceptions.RequestException as e:
-        return f"Error fetching {url}: {str(e)}"
-    except Exception as e:
-        return f"Error processing content from {url}: {str(e)}"
-
-def extract_urls_from_text(text):
-    """Extract URLs from text using regex with enhanced validation"""
-    import re
-    url_pattern = r'https?://[^\s<>"{}|\\^`\[\]"]+'
-    urls = re.findall(url_pattern, text)
-    
-    # Basic URL validation and cleanup
-    validated_urls = []
-    for url in urls:
-        # Remove trailing punctuation that might be captured
-        url = url.rstrip('.,!?;:')
-        # Basic domain validation
-        if '.' in url and len(url) > 10:
-            validated_urls.append(url)
-    
-    return validated_urls
-
-# Global cache for URL content to avoid re-crawling in generated spaces
-_url_content_cache = {}
-
-def get_grounding_context():
-    """Fetch context from grounding URLs with caching"""
-    if not GROUNDING_URLS:
-        return ""
-    
-    # Create cache key from URLs
-    cache_key = tuple(sorted([url for url in GROUNDING_URLS if url and url.strip()]))
-    
-    # Check cache first
-    if cache_key in _url_content_cache:
-        return _url_content_cache[cache_key]
-    
-    context_parts = []
-    for i, url in enumerate(GROUNDING_URLS, 1):
-        if url.strip():
-            content = fetch_url_content(url.strip())
-            context_parts.append(f"Context from URL {i} ({url}):\n{content}")
-    
-    if context_parts:
-        result = "\n\n" + "\n\n".join(context_parts) + "\n\n"
-    else:
-        result = ""
-    
-    # Cache the result
-    _url_content_cache[cache_key] = result
-    return result
-
-def export_conversation_to_markdown(conversation_history):
-    """Export conversation history to markdown format"""
-    if not conversation_history:
-        return "No conversation to export."
-    
-    markdown_content = f"""# Conversation Export
-Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
-
----
-
-"""
-    
-    message_pair_count = 0
-    for i, message in enumerate(conversation_history):
-        if isinstance(message, dict):
-            role = message.get('role', 'unknown')
-            content = message.get('content', '')
-            
-            if role == 'user':
-                message_pair_count += 1
-                markdown_content += f"## User Message {message_pair_count}\n\n{content}\n\n"
-            elif role == 'assistant':
-                markdown_content += f"## Assistant Response {message_pair_count}\n\n{content}\n\n---\n\n"
-        elif isinstance(message, (list, tuple)) and len(message) >= 2:
-            # Handle legacy tuple format: ["user msg", "assistant msg"]
-            message_pair_count += 1
-            user_msg, assistant_msg = message[0], message[1]
-            if user_msg:
-                markdown_content += f"## User Message {message_pair_count}\n\n{user_msg}\n\n"
-            if assistant_msg:
-                markdown_content += f"## Assistant Response {message_pair_count}\n\n{assistant_msg}\n\n---\n\n"
-    
-    return markdown_content
-
-# Initialize RAG context if enabled
-if ENABLE_VECTOR_RAG and RAG_DATA:
-    try:
-        import faiss
-        import numpy as np
-        import base64
-        
-        class SimpleRAGContext:
-            def __init__(self, rag_data):
-                # Deserialize FAISS index
-                index_bytes = base64.b64decode(rag_data['index_base64'])
-                self.index = faiss.deserialize_index(index_bytes)
-                
-                # Restore chunks and mappings
-                self.chunks = rag_data['chunks']
-                self.chunk_ids = rag_data['chunk_ids']
-            
-            def get_context(self, query, max_chunks=3):
-                """Get relevant context - simplified version"""
-                # In production, you'd compute query embedding here
-                # For now, return a simple message
-                return "\n\n[RAG context would be retrieved here based on similarity search]\n\n"
-        
-        rag_context_provider = SimpleRAGContext(RAG_DATA)
-    except Exception as e:
-        print(f"Failed to initialize RAG: {e}")
-        rag_context_provider = None
-else:
-    rag_context_provider = None
-
-def generate_response(message, history):
-    """Generate response using OpenRouter API"""
-    
-    # Enhanced API key validation with helpful messages
-    if not API_KEY:
-        error_msg = f"🔑 **API Key Required**\n\n"
-        error_msg += f"Please configure your OpenRouter API key:\n"
-        error_msg += f"1. Go to Settings (⚙️) in your HuggingFace Space\n"
-        error_msg += f"2. Click 'Variables and secrets'\n"
-        error_msg += f"3. Add secret: **OPENROUTER_API_KEY**\n"
-        error_msg += f"4. Value: Your OpenRouter API key (starts with `sk-or-`)\n\n"
-        error_msg += f"Get your API key at: https://openrouter.ai/keys"
-        print(f"❌ API request failed: No API key configured for OPENROUTER_API_KEY")
-        return error_msg
-    
-    # Get grounding context
-    grounding_context = get_grounding_context()
-    
-    # Add RAG context if available
-    if ENABLE_VECTOR_RAG and rag_context_provider:
-        rag_context = rag_context_provider.get_context(message)
-        if rag_context:
-            grounding_context += rag_context
-    
-    # If dynamic URLs are enabled, check message for URLs to fetch
-    if ENABLE_DYNAMIC_URLS:
-        urls_in_message = extract_urls_from_text(message)
-        if urls_in_message:
-            # Fetch content from URLs mentioned in the message
-            dynamic_context_parts = []
-            for url in urls_in_message[:3]:  # Limit to 3 URLs per message
-                content = fetch_url_content(url)
-                dynamic_context_parts.append(f"\n\nDynamic context from {url}:\n{content}")
-            if dynamic_context_parts:
-                grounding_context += "\n".join(dynamic_context_parts)
-    
-    # If web search is enabled, use it for most queries (excluding code blocks and URLs)
-    if ENABLE_WEB_SEARCH:
-        should_search = True
-        
-        # Skip search for messages that are primarily code blocks
-        import re
-        if re.search(r'```[\s\S]*```', message):
-            should_search = False
-        
-        # Skip search for messages that are primarily URLs
-        urls_in_message = extract_urls_from_text(message)
-        if urls_in_message and len(' '.join(urls_in_message)) > len(message) * 0.5:
-            should_search = False
-        
-        # Skip search for very short messages (likely greetings)
-        if len(message.strip()) < 5:
-            should_search = False
-        
-        if should_search:
-            # Use the entire message as search query, cleaning it up
-            search_query = message.strip()
-            try:
-                # Perform web search using crawl4ai
-                import urllib.parse
-                import asyncio
-                
-                async def search_with_crawl4ai(search_query):
-                    try:
-                        from crawl4ai import WebCrawler
-                        
-                        # Create search URL for DuckDuckGo
-                        encoded_query = urllib.parse.quote_plus(search_query)
-                        search_url = f"https://duckduckgo.com/html/?q={encoded_query}"
-                        
-                        # Initialize crawler
-                        crawler = WebCrawler(verbose=False)
-                        
-                        try:
-                            # Start the crawler
-                            await crawler.astart()
-                            
-                            # Crawl the search results
-                            result = await crawler.arun(url=search_url)
-                            
-                            if result.success:
-                                # Extract text content from search results
-                                content = result.cleaned_html if result.cleaned_html else result.markdown
-                                
-                                # Clean and truncate the content
-                                if content:
-                                    # Remove excessive whitespace and limit length
-                                    lines = [line.strip() for line in content.split('\n') if line.strip()]
-                                    cleaned_content = '\n'.join(lines)
-                                    
-                                    # Truncate to reasonable length for context
-                                    if len(cleaned_content) > 2000:
-                                        cleaned_content = cleaned_content[:2000] + "..."
-                                    
-                                    return cleaned_content
-                                else:
-                                    return "No content extracted from search results"
-                            else:
-                                return f"Search failed: {result.error_message if hasattr(result, 'error_message') else 'Unknown error'}"
-                                
-                        finally:
-                            # Clean up the crawler
-                            await crawler.aclose()
-                            
-                    except ImportError:
-                        # Fallback to simple DuckDuckGo search without crawl4ai
-                        encoded_query = urllib.parse.quote_plus(search_query)
-                        search_url = f"https://duckduckgo.com/html/?q={encoded_query}"
-                        
-                        # Use basic fetch as fallback
-                        response = requests.get(search_url, headers={'User-Agent': 'Mozilla/5.0'}, timeout=10)
-                        if response.status_code == 200:
-                            from bs4 import BeautifulSoup
-                            soup = BeautifulSoup(response.content, 'html.parser')
-                            
-                            # Remove script and style elements
-                            for script in soup(["script", "style", "nav", "header", "footer"]):
-                                script.decompose()
-                            
-                            # Get text content
-                            text = soup.get_text()
-                            
-                            # Clean up whitespace
-                            lines = (line.strip() for line in text.splitlines())
-                            chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
-                            text = ' '.join(chunk for chunk in chunks if chunk)
-                            
-                            # Truncate to ~2000 characters
-                            if len(text) > 2000:
-                                text = text[:2000] + "..."
-                            
-                            return text
-                        else:
-                            return f"Failed to fetch search results: {response.status_code}"
-                
-                # Run the async search
-                if hasattr(asyncio, 'run'):
-                    search_result = asyncio.run(search_with_crawl4ai(search_query))
-                else:
-                    # Fallback for older Python versions
-                    loop = asyncio.new_event_loop()
-                    asyncio.set_event_loop(loop)
-                    try:
-                        search_result = loop.run_until_complete(search_with_crawl4ai(search_query))
-                    finally:
-                        loop.close()
-                
-                grounding_context += f"\n\nWeb search results for '{search_query}':\n{search_result}"
-            except Exception as e:
-                # Enhanced fallback with better error handling
-                urls = extract_urls_from_text(search_query)
-                if urls:
-                    fallback_results = []
-                    for url in urls[:2]:  # Limit to 2 URLs for fallback
-                        content = fetch_url_content(url)
-                        fallback_results.append(f"Content from {url}:\n{content[:500]}...")
-                    grounding_context += f"\n\nWeb search fallback for '{search_query}':\n" + "\n\n".join(fallback_results)
-                else:
-                    grounding_context += f"\n\nWeb search requested for '{search_query}' but search functionality is unavailable"
-    
-    # Build enhanced system prompt with grounding context
-    enhanced_system_prompt = SYSTEM_PROMPT + grounding_context
-    
-    # Build messages array for the API
-    messages = [{"role": "system", "content": enhanced_system_prompt}]
-    
-    # Add conversation history - handle both modern messages format and legacy tuples
-    for chat in history:
-        if isinstance(chat, dict):
-            # Modern format: {"role": "user", "content": "..."} or {"role": "assistant", "content": "..."}
-            messages.append(chat)
-        elif isinstance(chat, (list, tuple)) and len(chat) >= 2:
-            # Legacy format: ["user msg", "assistant msg"] or ("user msg", "assistant msg")
-            user_msg, assistant_msg = chat[0], chat[1]
-            if user_msg:
-                messages.append({"role": "user", "content": user_msg})
-            if assistant_msg:
-                messages.append({"role": "assistant", "content": assistant_msg})
-    
-    # Add current message
-    messages.append({"role": "user", "content": message})
-    
-    # Make API request with enhanced error handling
-    try:
-        print(f"🔄 Making API request to OpenRouter...")
-        print(f"   Model: {MODEL}")
-        print(f"   Messages: {len(messages)} in conversation")
-        
-        response = requests.post(
-            url="https://openrouter.ai/api/v1/chat/completions",
-            headers={
-                "Authorization": f"Bearer {API_KEY}",
-                "Content-Type": "application/json",
-                "HTTP-Referer": "https://huggingface.co",  # Required by some providers
-                "X-Title": "HuggingFace Space"  # Helpful for tracking
-            },
-            json={
-                "model": MODEL,
-                "messages": messages,
-                "temperature": 0.7,
-                "max_tokens": 1500
-            },
-            timeout=30
-        )
-        
-        print(f"📡 API Response: {response.status_code}")
-        
-        if response.status_code == 200:
-            try:
-                result = response.json()
-                
-                # Enhanced validation of API response structure
-                if 'choices' not in result or not result['choices']:
-                    print(f"⚠️  API response missing choices: {result}")
-                    return "API Error: No response choices available"
-                elif 'message' not in result['choices'][0]:
-                    print(f"⚠️  API response missing message: {result}")
-                    return "API Error: No message in response"
-                elif 'content' not in result['choices'][0]['message']:
-                    print(f"⚠️  API response missing content: {result}")
-                    return "API Error: No content in message"
-                else:
-                    content = result['choices'][0]['message']['content']
-                    
-                    # Check for empty content
-                    if not content or content.strip() == "":
-                        print(f"⚠️  API returned empty content")
-                        return "API Error: Empty response content"
-                    
-                    print(f"✅ API request successful")
-                    return content
-                    
-            except (KeyError, IndexError, json.JSONDecodeError) as e:
-                print(f"❌ Failed to parse API response: {str(e)}")
-                return f"API Error: Failed to parse response - {str(e)}"
-        elif response.status_code == 401:
-            error_msg = f"🔐 **Authentication Error**\n\n"
-            error_msg += f"Your API key appears to be invalid or expired.\n\n"
-            error_msg += f"**Troubleshooting:**\n"
-            error_msg += f"1. Check that your **OPENROUTER_API_KEY** secret is set correctly\n"
-            error_msg += f"2. Verify your API key at: https://openrouter.ai/keys\n"
-            error_msg += f"3. Ensure your key starts with `sk-or-`\n"
-            error_msg += f"4. Check that you have credits on your OpenRouter account"
-            print(f"❌ API authentication failed: {response.status_code} - {response.text[:200]}")
-            return error_msg
-        elif response.status_code == 429:
-            error_msg = f"⏱️ **Rate Limit Exceeded**\n\n"
-            error_msg += f"Too many requests. Please wait a moment and try again.\n\n"
-            error_msg += f"**Troubleshooting:**\n"
-            error_msg += f"1. Wait 30-60 seconds before trying again\n"
-            error_msg += f"2. Check your OpenRouter usage limits\n"
-            error_msg += f"3. Consider upgrading your OpenRouter plan"
-            print(f"❌ Rate limit exceeded: {response.status_code}")
-            return error_msg
-        elif response.status_code == 400:
-            try:
-                error_data = response.json()
-                error_message = error_data.get('error', {}).get('message', 'Unknown error')
-            except:
-                error_message = response.text
-            
-            error_msg = f"⚠️ **Request Error**\n\n"
-            error_msg += f"The API request was invalid:\n"
-            error_msg += f"`{error_message}`\n\n"
-            if "model" in error_message.lower():
-                error_msg += f"**Model Issue:** The model `{MODEL}` may not be available.\n"
-                error_msg += f"Try switching to a different model in your Space configuration."
-            print(f"❌ Bad request: {response.status_code} - {error_message}")
-            return error_msg
-        else:
-            error_msg = f"🚫 **API Error {response.status_code}**\n\n"
-            error_msg += f"An unexpected error occurred. Please try again.\n\n"
-            error_msg += f"If this persists, check:\n"
-            error_msg += f"1. OpenRouter service status\n"
-            error_msg += f"2. Your API key and credits\n"
-            error_msg += f"3. The model availability"
-            print(f"❌ API error: {response.status_code} - {response.text[:200]}")
-            return error_msg
-            
-    except requests.exceptions.Timeout:
-        error_msg = f"⏰ **Request Timeout**\n\n"
-        error_msg += f"The API request took too long (30s limit).\n\n"
-        error_msg += f"**Troubleshooting:**\n"
-        error_msg += f"1. Try again with a shorter message\n"
-        error_msg += f"2. Check your internet connection\n"
-        error_msg += f"3. Try a different model"
-        print(f"❌ Request timeout after 30 seconds")
-        return error_msg
-    except requests.exceptions.ConnectionError:
-        error_msg = f"🌐 **Connection Error**\n\n"
-        error_msg += f"Could not connect to OpenRouter API.\n\n"
-        error_msg += f"**Troubleshooting:**\n"
-        error_msg += f"1. Check your internet connection\n"
-        error_msg += f"2. Check OpenRouter service status\n"
-        error_msg += f"3. Try again in a few moments"
-        print(f"❌ Connection error to OpenRouter API")
-        return error_msg
-    except Exception as e:
-        error_msg = f"❌ **Unexpected Error**\n\n"
-        error_msg += f"An unexpected error occurred:\n"
-        error_msg += f"`{str(e)}`\n\n"
-        error_msg += f"Please try again or contact support if this persists."
-        print(f"❌ Unexpected error: {str(e)}")
-        return error_msg
-
-# Access code verification
-access_granted = gr.State(False)
-_access_granted_global = False  # Global fallback
-
-def verify_access_code(code):
-    """Verify the access code"""
-    global _access_granted_global
-    if not ACCESS_CODE:
-        _access_granted_global = True
-        return gr.update(visible=False), gr.update(visible=True), gr.update(value=True)
-    
-    if code == ACCESS_CODE:
-        _access_granted_global = True
-        return gr.update(visible=False), gr.update(visible=True), gr.update(value=True)
-    else:
-        _access_granted_global = False
-        return gr.update(visible=True, value="❌ Incorrect access code. Please try again."), gr.update(visible=False), gr.update(value=False)
-
-def protected_generate_response(message, history):
-    """Protected response function that checks access"""
-    # Check if access is granted via the global variable
-    if ACCESS_CODE and not _access_granted_global:
-        return "Please enter the access code to continue."
-    return generate_response(message, history)
-
-def export_conversation(history):
-    """Export conversation to markdown file"""
-    if not history:
-        return gr.update(visible=False)
-    
-    markdown_content = export_conversation_to_markdown(history)
-    
-    # Save to temporary file
-    with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
-        f.write(markdown_content)
-        temp_file = f.name
-    
-    return gr.update(value=temp_file, visible=True)
-
-# Configuration status display
-def get_configuration_status():
-    """Generate a configuration status message for display"""
-    status_parts = []
-    
-    if API_KEY_VALID:
-        status_parts.append("✅ **API Key:** Configured and valid")
-    else:
-        status_parts.append("❌ **API Key:** Not configured - Set `OPENROUTER_API_KEY` in Space secrets")
-    
-    status_parts.append(f"🤖 **Model:** {MODEL}")
-    status_parts.append(f"🌡️ **Temperature:** 0.7")
-    status_parts.append(f"📝 **Max Tokens:** 1500")
-    
-    if GROUNDING_URLS:
-        status_parts.append(f"🔗 **URL Grounding:** {len(GROUNDING_URLS)} URLs configured")
-    
-    if ENABLE_DYNAMIC_URLS:
-        status_parts.append("🔄 **Dynamic URLs:** Enabled")
-    
-    if ENABLE_WEB_SEARCH:
-        status_parts.append("🔍 **Web Search:** Enabled")
-    
-    if ENABLE_VECTOR_RAG:
-        status_parts.append("📚 **Document RAG:** Enabled")
-    
-    if ACCESS_CODE:
-        status_parts.append("🔐 **Access Control:** Enabled")
-    else:
-        status_parts.append("🌐 **Access:** Public")
-    
-    return "\n".join(status_parts)
-
-# Create interface with access code protection
-with gr.Blocks(title=SPACE_NAME) as demo:
-    gr.Markdown(f"# {SPACE_NAME}")
-    gr.Markdown(SPACE_DESCRIPTION)
-    
-    # Configuration status (always visible)
-    with gr.Accordion("📊 Configuration Status", open=not API_KEY_VALID):
-        gr.Markdown(get_configuration_status())
-    
-    # Access code section (shown only if ACCESS_CODE is set)
-    with gr.Column(visible=bool(ACCESS_CODE)) as access_section:
-        gr.Markdown("### 🔐 Access Required")
-        gr.Markdown("Please enter the access code provided by your instructor:")
-        
-        access_input = gr.Textbox(
-            label="Access Code",
-            placeholder="Enter access code...",
-            type="password"
-        )
-        access_btn = gr.Button("Submit", variant="primary")
-        access_error = gr.Markdown(visible=False)
-    
-    # Main chat interface (hidden until access granted)
-    with gr.Column(visible=not bool(ACCESS_CODE)) as chat_section:
-        chat_interface = gr.ChatInterface(
-            fn=protected_generate_response,
-            title="",  # Title already shown above
-            description="",  # Description already shown above
-            examples=None,
-            type="messages"  # Use modern message format for better compatibility
-        )
-        
-        # Export functionality
-        with gr.Row():
-            export_btn = gr.Button("Export Conversation", variant="secondary", size="sm")
-            export_file = gr.File(label="Download Conversation", visible=False)
-        
-        # Connect export functionality
-        export_btn.click(
-            export_conversation,
-            inputs=[chat_interface],
-            outputs=[export_file]
-        )
-    
-    # Connect access verification
-    if ACCESS_CODE:
-        access_btn.click(
-            verify_access_code,
-            inputs=[access_input],
-            outputs=[access_error, chat_section, access_granted]
-        )
-        access_input.submit(
-            verify_access_code,
-            inputs=[access_input],
-            outputs=[access_error, chat_section, access_granted]
-        )
-
-if __name__ == "__main__":
-    demo.launch()