Update app.py

Fixed Update app.py

app.py

@@ -1,369 +1,576 @@
-"""
-ProVerBs Ultimate Brain with Complete Voice Cloning
-Integrates Supertonic voice cloning with all controls
-"""
-
-# Import everything from app_ultimate_brain
-import sys
-import os
-sys.path.append(os.path.dirname(__file__))
-
-import gradio as gr
-from huggingface_hub import InferenceClient
-import json
-import os
-from datetime import datetime
-from typing import Dict, List, Optional
-import requests
-
-# Import Unified Brain
-from unified_brain import UnifiedBrain, ReasoningContext
-
-# Import Performance & Analytics
-from performance_optimizer import performance_cache, performance_monitor, with_caching
-from analytics_seo import analytics_tracker, SEOOptimizer
-
-# Import Voice Cloning
-from supertonic_voice_module import create_supertonic_interface
-
-# Define class FIRST
-class UltimateLegalBrain:
-    def __init__(self):
-        self.brain = UnifiedBrain()
-        self.legal_modes = {
-            "navigation": "📍 Navigation Guide",
-            "general": "💬 General Legal",
-            "document_validation": "📄 Document Validator",
-            "legal_research": "🔍 Legal Research",
-            "etymology": "📚 Etymology Expert",
-            "case_management": "💼 Case Management",
-            "regulatory_updates": "📋 Regulatory Updates"
-        }
-    
-    async def process_legal_query(self, query: str, mode: str, ai_provider: str = "huggingface", use_reasoning_protocols: bool = True, **kwargs) -> Dict:
-        reasoning_result = None
-        if use_reasoning_protocols:
-            preferences = {'use_reflection': mode in ['document_validation', 'legal_research'], 'multi_agent': False}
-            reasoning_result = await self.brain.process(query=query, preferences=preferences, execution_mode='sequential')
-        
-        legal_prompt = self.get_legal_system_prompt(mode)
-        if reasoning_result and reasoning_result['success']:
-            reasoning_trace = "\n".join([f"🧠 {r['protocol']}: {', '.join(r['trace'][:2])}" for r in reasoning_result['results']])
-            enhanced_query = f"{legal_prompt}\n\nReasoning Analysis:\n{reasoning_trace}\n\nUser Query: {query}"
-        else:
-            enhanced_query = f"{legal_prompt}\n\nUser Query: {query}"
-        
-        return {"enhanced_query": enhanced_query, "reasoning_result": reasoning_result, "mode": mode, "ai_provider": ai_provider}
-    
-    def get_legal_system_prompt(self, mode: str) -> str:
-        prompts = {
-            "navigation": "You are a ProVerBs Legal AI Navigation Guide with advanced reasoning capabilities.",
-            "general": "You are a General Legal Assistant powered by ADAPPT-I™ reasoning technology.",
-            "document_validation": "You are a Document Validator using Chain-of-Thought and Self-Consistency protocols.",
-            "legal_research": "You are a Legal Research Assistant with RAG and Tree-of-Thoughts capabilities.",
-            "etymology": "You are a Legal Etymology Expert with multi-step reasoning.",
-            "case_management": "You are a Case Management Helper with ReAct protocol integration.",
-            "regulatory_updates": "You are a Regulatory Monitor with real-time analysis capabilities."
-        }
-        return prompts.get(mode, prompts["general"])
-
-async def respond_with_ultimate_brain(message, history: list, mode: str, ai_provider: str, use_reasoning: bool, max_tokens: int, temperature: float, top_p: float, hf_token = None):
-    import time
-    start_time = time.time()
-    
-    brain_result = await ultimate_brain.process_legal_query(query=message, mode=mode, ai_provider=ai_provider, use_reasoning_protocols=use_reasoning)
-    
-    if use_reasoning and brain_result['reasoning_result']:
-        reasoning_info = "🧠 **Reasoning Protocols Applied:**\n"
-        for r in brain_result['reasoning_result']['results']:
-            reasoning_info += f"- {r['protocol']}: ✅ {r['status']}\n"
-        yield reasoning_info + "\n\n"
-    
-    if ai_provider == "huggingface":
-        token = hf_token.token if hf_token else None
-        client = InferenceClient(token=token, model="meta-llama/Llama-3.3-70B-Instruct")
-        
-        messages = [{"role": "system", "content": brain_result['enhanced_query']}]
-        for user_msg, assistant_msg in history:
-            if user_msg:
-                messages.append({"role": "user", "content": user_msg})
-            if assistant_msg:
-                messages.append({"role": "assistant", "content": assistant_msg})
-        
-        messages.append({"role": "user", "content": message})
-        
-        response = reasoning_info if use_reasoning and brain_result['reasoning_result'] else ""
-        try:
-            for chunk in client.chat_completion(messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p):
-                if chunk.choices and chunk.choices[0].delta.content:
-                    response += chunk.choices[0].delta.content
-                    yield response
-        except Exception as e:
-            yield f"{response}\n\n❌ Error: {str(e)}"
-
-# Custom CSS
-custom_css = """
-.gradio-container { max-width: 1400px !important; }
-.header-section {
-    text-align: center; padding: 40px 20px;
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-    color: white; border-radius: 12px; margin-bottom: 30px;
-}
-.header-section h1 { font-size: 3rem; margin-bottom: 10px; font-weight: 700; }
-.brain-badge {
-    display: inline-block; background: #ff6b6b; color: white;
-    padding: 8px 16px; border-radius: 20px; font-weight: bold;
-    margin: 10px 5px;
-}
-"""
-
-# SEO
-seo_meta = SEOOptimizer.get_meta_tags()
-seo_structured = SEOOptimizer.get_structured_data()
-
-# Initialize AFTER class definition
-ultimate_brain = UltimateLegalBrain()
-
-# Override the demo with voice cloning integrated
-demo_with_voice = gr.Blocks(title="ProVerBs Ultimate Legal AI Brain", css=custom_css)
-
-with demo_with_voice:
-    # Add SEO tags
-    gr.HTML(seo_meta + seo_structured)
-    
-    # Header
-    gr.HTML("""
-    <div class="header-section">
-        <h1>⚖️ ProVerBs Ultimate Legal AI Brain</h1>
-        <p style="font-size: 1.3rem;">Powered by Pro'VerBs™ & ADAPPT-I™ Technology</p>
-        <div>
-            <span class="brain-badge">🧠 100+ Reasoning Protocols</span>
-            <span class="brain-badge">🤖 6 AI Models</span>
-            <span class="brain-badge">⚖️ 7 Legal Modes</span>
-            <span class="brain-badge">🎙️ Voice Cloning</span>
-        </div>
-        <p style="font-size: 0.9rem; margin-top: 15px; opacity: 0.9;">
-            Chain-of-Thought • Self-Consistency • Tree-of-Thoughts • ReAct • Reflexion • RAG<br>
-            Quantum Reasoning • Multi-Agent • Voice Cloning • Audio Processing
-        </p>
-    </div>
-    """)
-    
-    with gr.Tabs():
-        # Welcome Tab
-        with gr.Tab("🏠 Welcome"):
-            gr.Markdown("""
-            ## Welcome to the Ultimate ProVerBs Legal AI Brain
-            
-            ### 🧠 Unified Reasoning Brain (100+ Protocols)
-            
-            **Core Reasoning Protocols:**
-            - Chain-of-Thought (CoT) - Step-by-step reasoning
-            - Self-Consistency - Multiple reasoning paths
-            - Tree-of-Thoughts (ToT) - Branching exploration
-            - ReAct - Reason + Act cycles
-            - Reflexion - Self-reflection with memory
-            - RAG - Retrieval-Augmented Generation
-            
-            ### 🤖 6 AI Model Options:
-            - 🤗 HuggingFace Llama-3.3-70B (Free, always available)
-            - 🧠 GPT-4 Turbo (OpenAI)
-            - ✨ Gemini 3.0 (Google)
-            - 🔍 Perplexity AI (Research)
-            - 🥷 Ninja AI
-            - 💻 LM Studio (Local)
-            
-            ### ⚖️ 7 Specialized Legal Modes:
-            - Navigation | General Legal | Document Validation
-            - Legal Research | Etymology | Case Management | Regulatory Updates
-            
-            ### 🎙️ **NEW! Supertonic Voice Cloning:**
-            - Record voice samples
-            - Clone voices with text-to-speech
-            - Professional audio processing
-            - Voice profile management
-            - **Full controls**: Play, Record, Pause, Rewind, etc.
-            
-            **Get Started:** Click "🤖 AI Legal Chatbot" or "🎙️ Voice Cloning" tab!
-            """)
-        
-        # AI Chatbot Tab (copy from original)
-        with gr.Tab("🤖 AI Legal Chatbot"):
-            gr.Markdown("""
-            ## Multi-AI Legal Chatbot
-            Select your AI model and legal assistant mode below!
-            """)
-            
-            with gr.Row():
-                ai_provider_selector = gr.Dropdown(
-                    choices=[
-                        ("🤗 Llama-3.3-70B (Free)", "huggingface"),
-                        ("🧠 GPT-4 Turbo", "gpt4"),
-                        ("✨ Gemini 3.0", "gemini"),
-                        ("🔍 Perplexity AI", "perplexity"),
-                        ("🥷 Ninja AI", "ninjaai"),
-                        ("💻 LM Studio", "lmstudio")
-                    ],
-                    value="huggingface",
-                    label="🤖 AI Model"
-                )
-                
-                mode_selector = gr.Dropdown(
-                    choices=[
-                        ("📍 Navigation", "navigation"),
-                        ("💬 General Legal", "general"),
-                        ("📄 Document Validator", "document_validation"),
-                        ("🔍 Legal Research", "legal_research"),
-                        ("📚 Etymology", "etymology"),
-                        ("💼 Case Management", "case_management"),
-                        ("📋 Regulatory Updates", "regulatory_updates")
-                    ],
-                    value="general",
-                    label="⚖️ Legal Mode"
-                )
-                
-                use_reasoning_toggle = gr.Checkbox(
-                    label="🧠 Enable Reasoning Protocols",
-                    value=True,
-                    info="Use 100+ reasoning protocols for enhanced analysis"
-                )
-            
-            chatbot_interface = gr.ChatInterface(
-                respond_with_ultimate_brain,
-                chatbot=gr.Chatbot(
-                    height=550,
-                    placeholder="💬 Ultimate Legal AI ready! Ask anything...",
-                    show_label=False
-                ),
-                textbox=gr.Textbox(
-                    placeholder="Ask your legal question here...",
-                    container=False,
-                    scale=7
-                ),
-                additional_inputs=[
-                    mode_selector,
-                    ai_provider_selector,
-                    use_reasoning_toggle,
-                    gr.Slider(128, 4096, value=2048, step=128, label="Max Tokens"),
-                    gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
-                    gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
-                ],
-                examples=[
-                    ["What reasoning protocols are available?"],
-                    ["Analyze this contract using Chain-of-Thought reasoning"],
-                    ["Research case law with Tree-of-Thoughts exploration"]
-                ],
-                cache_examples=False
-            )
-        
-        # Voice Cloning Tab - FULL SUPERTONIC INTERFACE
-        with gr.Tab("🎙️ Voice Cloning"):
-            create_supertonic_interface()
-        
-        # Analytics Tab
-        with gr.Tab("📊 Analytics"):
-            gr.Markdown("""
-            ## Analytics & Performance Dashboard
-            View real-time analytics and performance metrics for the Ultimate Brain.
-            """)
-            
-            with gr.Row():
-                analytics_btn = gr.Button("📊 Refresh Analytics", variant="primary")
-                clear_cache_btn = gr.Button("🗑️ Clear Cache", variant="secondary")
-            
-            analytics_output = gr.JSON(label="Analytics Data")
-            performance_output = gr.JSON(label="Performance Metrics")
-            cache_stats_output = gr.JSON(label="Cache Statistics")
-            
-            def get_analytics():
-                return analytics_tracker.get_analytics()
-            
-            def get_performance():
-                return performance_monitor.get_metrics()
-            
-            def get_cache_stats():
-                return performance_cache.get_stats()
-            
-            def clear_cache_action():
-                performance_cache.clear()
-                return {"status": "Cache cleared successfully"}
-            
-            analytics_btn.click(
-                fn=lambda: (get_analytics(), get_performance(), get_cache_stats()),
-                outputs=[analytics_output, performance_output, cache_stats_output]
-            )
-            
-            clear_cache_btn.click(
-                fn=clear_cache_action,
-                outputs=[cache_stats_output]
-            )
-        
-        # Reasoning Brain Tab
-        with gr.Tab("🧠 Reasoning Brain"):
-            gr.Markdown("""
-            ## Unified AI Reasoning Brain
-            
-            ### 📊 Protocol Categories:
-            
-            #### Core Reasoning (Protocols 1-50)
-            - Chain-of-Thought, Self-Consistency, Tree-of-Thoughts
-            - ReAct, Reflexion, RAG, and more
-            
-            #### Quantum-Specific (Protocols 51-100)
-            - Quantum Job Orchestration, VQE, QAOA
-            - Circuit Transpilation, Error Mitigation
-            
-            #### Multi-Agent (Protocols 73-100)
-            - Multi-Agent Coordination
-            - Contract Net Protocol
-            """)
-        
-        # About Tab
-        with gr.Tab("ℹ️ About"):
-            gr.Markdown("""
-            ## About ProVerBs Ultimate Legal AI Brain
-            
-            ### 🚀 Revolutionary Features:
-            - **100+ Reasoning Protocols** - Most advanced reasoning system
-            - **6 AI Models** - Choose the best for your needs
-            - **7 Legal Modes** - Specialized for different legal tasks
-            - **Voice Cloning** - Professional Supertonic integration
-            - **Audio Processing** - Complete recording and playback controls
-            
-            ### 🎙️ Voice Cloning Features:
-            - Record voice samples with full controls
-            - Clone any voice with text-to-speech
-            - Professional audio processing
-            - Export voice profiles
-            - Play, Pause, Record, Rewind, Stop controls
-            
-            ### 📚 Resources:
-            - **Main Space**: https://huggingface.co/spaces/Solomon7890/ProVerbS_LaW_mAiN_PAgE
-            - **Supertonic**: https://github.com/supertone-inc/supertonic
-            - **Models**: https://huggingface.co/Supertone/supertonic
-            
-            ### ⚠️ Disclaimer:
-            This platform provides general legal information only. Consult with a licensed attorney for specific legal matters.
-            
-            ---
-            **Version 3.0.0 + Voice Cloning** | Built by Solomon7890
-            """)
-    
-    # Footer
-    gr.Markdown("""
-    ---
-    <div style="text-align: center; padding: 20px;">
-        <p><strong>⚖️ ProVerBs Ultimate Legal AI Brain v3.0 + Voice Cloning</strong></p>
-        <p>Powered by Pro'VerBs™ & ADAPPT-I™ | 100+ Protocols | 6 AI Models | Voice Cloning</p>
-        <p style="font-size: 0.85rem; color: #666;">
-            © 2025 Solomon 8888 | Built with ❤️ for legal professionals worldwide
-        </p>
-    </div>
-    """)
-
-# Use the new demo with voice cloning
-demo = demo_with_voice
-
-if __name__ == "__main__":
-    demo.queue(max_size=20)
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
+“””
+ProVerBs Ultimate Brain with Complete Voice Cloning - FIXED VERSION
+Integrates Supertonic voice cloning with all controls
+“””
+
+import sys
+import os
+import asyncio
+from typing import Dict, List, Optional
+
+# Add current directory to path
+
+sys.path.append(os.path.dirname(**file**))
+
+import gradio as gr
+from huggingface_hub import InferenceClient
+import json
+from datetime import datetime
+
+# Try importing optional modules with fallbacks
+
+try:
+from unified_brain import UnifiedBrain, ReasoningContext
+UNIFIED_BRAIN_AVAILABLE = True
+except ImportError:
+UNIFIED_BRAIN_AVAILABLE = False
+print(“Warning: unified_brain module not available - using fallback”)
+
+try:
+from performance_optimizer import performance_cache, performance_monitor, with_caching
+PERFORMANCE_AVAILABLE = True
+except ImportError:
+PERFORMANCE_AVAILABLE = False
+print(“Warning: performance_optimizer module not available”)
+
+try:
+from analytics_seo import analytics_tracker, SEOOptimizer
+ANALYTICS_AVAILABLE = True
+except ImportError:
+ANALYTICS_AVAILABLE = False
+print(“Warning: analytics_seo module not available”)
+
+try:
+from supertonic_voice_module import create_supertonic_interface
+VOICE_AVAILABLE = True
+except ImportError:
+VOICE_AVAILABLE = False
+print(“Warning: supertonic_voice_module not available”)
+
+# ============================================================================
+
+# MOCK CLASSES FOR MISSING DEPENDENCIES (Fallback)
+
+# ============================================================================
+
+class MockUnifiedBrain:
+“”“Fallback when unified_brain is not available”””
+async def process(self, query: str, preferences: dict, execution_mode: str):
+return {
+‘success’: False,
+‘results’: [],
+‘message’: ‘Unified brain module not available’
+}
+
+class MockPerformanceCache:
+def get_stats(self):
+return {‘status’: ‘Cache module not available’}
+def clear(self):
+return {‘status’: ‘cleared’}
+
+class MockPerformanceMonitor:
+def get_metrics(self):
+return {‘status’: ‘Monitor module not available’}
+
+class MockAnalyticsTracker:
+def get_analytics(self):
+return {‘status’: ‘Analytics module not available’}
+
+class MockSEOOptimizer:
+@staticmethod
+def get_meta_tags():
+return ‘<meta name="description" content="ProVerBs Legal AI">’
+
+```
+@staticmethod
+def get_structured_data():
+    return '<script type="application/ld+json">{}</script>'
+```
+
+# Initialize mocks if needed
+
+if not UNIFIED_BRAIN_AVAILABLE:
+UnifiedBrain = MockUnifiedBrain
+
+if not PERFORMANCE_AVAILABLE:
+performance_cache = MockPerformanceCache()
+performance_monitor = MockPerformanceMonitor()
+
+if not ANALYTICS_AVAILABLE:
+analytics_tracker = MockAnalyticsTracker()
+SEOOptimizer = MockSEOOptimizer()
+
+# ============================================================================
+
+# MAIN CLASS DEFINITION (Must come BEFORE instantiation)
+
+# ============================================================================
+
+class UltimateLegalBrain:
+“”“Main brain class for legal AI processing”””
+
+```
+def __init__(self):
+    self.brain = UnifiedBrain()
+    self.legal_modes = {
+        "navigation": "📍 Navigation Guide",
+        "general": "💬 General Legal",
+        "document_validation": "📄 Document Validator",
+        "legal_research": "🔍 Legal Research",
+        "etymology": "📚 Etymology Expert",
+        "case_management": "💼 Case Management",
+        "regulatory_updates": "📋 Regulatory Updates"
+    }
+
+async def process_legal_query(
+    self, 
+    query: str, 
+    mode: str, 
+    ai_provider: str = "huggingface", 
+    use_reasoning_protocols: bool = True, 
+    **kwargs
+) -> Dict:
+    """Process legal query with reasoning protocols"""
+    reasoning_result = None
+    
+    if use_reasoning_protocols and UNIFIED_BRAIN_AVAILABLE:
+        preferences = {
+            'use_reflection': mode in ['document_validation', 'legal_research'], 
+            'multi_agent': False
+        }
+        try:
+            reasoning_result = await self.brain.process(
+                query=query, 
+                preferences=preferences, 
+                execution_mode='sequential'
+            )
+        except Exception as e:
+            print(f"Reasoning error: {e}")
+            reasoning_result = None
+    
+    legal_prompt = self.get_legal_system_prompt(mode)
+    
+    if reasoning_result and reasoning_result.get('success'):
+        reasoning_trace = "\n".join([
+            f"🧠 {r['protocol']}: {', '.join(r.get('trace', [])[:2])}" 
+            for r in reasoning_result.get('results', [])
+        ])
+        enhanced_query = f"{legal_prompt}\n\nReasoning Analysis:\n{reasoning_trace}\n\nUser Query: {query}"
+    else:
+        enhanced_query = f"{legal_prompt}\n\nUser Query: {query}"
+    
+    return {
+        "enhanced_query": enhanced_query, 
+        "reasoning_result": reasoning_result, 
+        "mode": mode, 
+        "ai_provider": ai_provider
+    }
+
+def get_legal_system_prompt(self, mode: str) -> str:
+    """Get system prompt for specific legal mode"""
+    prompts = {
+        "navigation": "You are a ProVerBs Legal AI Navigation Guide with advanced reasoning capabilities.",
+        "general": "You are a General Legal Assistant powered by ADAPPT-I™ reasoning technology.",
+        "document_validation": "You are a Document Validator using Chain-of-Thought and Self-Consistency protocols.",
+        "legal_research": "You are a Legal Research Assistant with RAG and Tree-of-Thoughts capabilities.",
+        "etymology": "You are a Legal Etymology Expert with multi-step reasoning.",
+        "case_management": "You are a Case Management Helper with ReAct protocol integration.",
+        "regulatory_updates": "You are a Regulatory Monitor with real-time analysis capabilities."
+    }
+    return prompts.get(mode, prompts["general"])
+```
+
+# ============================================================================
+
+# INITIALIZE BRAIN (After class definition)
+
+# ============================================================================
+
+ultimate_brain = UltimateLegalBrain()
+
+# ============================================================================
+
+# RESPONSE HANDLER
+
+# ============================================================================
+
+def respond_with_ultimate_brain(
+message: str,
+history: list,
+mode: str,
+ai_provider: str,
+use_reasoning: bool,
+max_tokens: int,
+temperature: float,
+top_p: float,
+request: gr.Request = None
+):
+“”“Main response handler - synchronous wrapper for async processing”””
+
+```
+# Handle async processing synchronously for Gradio
+try:
+    # Create new event loop for async call
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    brain_result = loop.run_until_complete(
+        ultimate_brain.process_legal_query(
+            query=message,
+            mode=mode,
+            ai_provider=ai_provider,
+            use_reasoning_protocols=use_reasoning
+        )
+    )
+    loop.close()
+except Exception as e:
+    yield f"⚠️ Reasoning processing error: {str(e)}\n\nContinuing with standard processing...\n\n"
+    brain_result = {
+        'enhanced_query': ultimate_brain.get_legal_system_prompt(mode) + f"\n\nUser Query: {message}",
+        'reasoning_result': None,
+        'mode': mode,
+        'ai_provider': ai_provider
+    }
+
+# Show reasoning info if available
+reasoning_info = ""
+if use_reasoning and brain_result.get('reasoning_result'):
+    reasoning_info = "🧠 **Reasoning Protocols Applied:**\n"
+    for r in brain_result['reasoning_result'].get('results', []):
+        reasoning_info += f"- {r.get('protocol', 'Unknown')}: ✅ {r.get('status', 'completed')}\n"
+    reasoning_info += "\n\n"
+    yield reasoning_info
+
+# Handle different AI providers
+if ai_provider == "huggingface":
+    try:
+        # Get token from environment or request
+        hf_token = os.environ.get("HF_TOKEN") or (request.headers.get("authorization", "").replace("Bearer ", "") if request else None)
+        
+        client = InferenceClient(
+            token=hf_token,
+            model="meta-llama/Llama-3.3-70B-Instruct"
+        )
+        
+        # Build message history
+        messages = [{"role": "system", "content": brain_result['enhanced_query']}]
+        
+        for user_msg, assistant_msg in history:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+        
+        messages.append({"role": "user", "content": message})
+        
+        # Stream response
+        response = reasoning_info
+        for chunk in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p
+        ):
+            if chunk.choices and chunk.choices[0].delta.content:
+                response += chunk.choices[0].delta.content
+                yield response
+                
+    except Exception as e:
+        yield f"{reasoning_info}\n\n❌ HuggingFace API Error: {str(e)}\n\nPlease check your API token or try another provider."
+
+else:
+    # Other providers not yet implemented
+    yield f"{reasoning_info}\n\n⚠️ Provider '{ai_provider}' is not yet implemented. Using HuggingFace as fallback or implement your own provider logic."
+```
+
+# ============================================================================
+
+# MOCK VOICE INTERFACE (if supertonic not available)
+
+# ============================================================================
+
+def create_mock_voice_interface():
+“”“Fallback voice interface when supertonic module is unavailable”””
+gr.Markdown(”””
+## 🎙️ Voice Cloning Module
+
+```
+⚠️ **Supertonic voice module not found.**
+
+To enable voice cloning:
+1. Install required dependencies
+2. Add `supertonic_voice_module.py` to your project
+3. Restart the application
+
+### Expected Features:
+- Voice recording with professional controls
+- Text-to-speech with voice cloning
+- Audio playback and export
+- Voice profile management
+""")
+
+with gr.Row():
+    gr.Button("🎤 Record (Not Available)", interactive=False)
+    gr.Button("⏸️ Pause (Not Available)", interactive=False)
+    gr.Button("⏹️ Stop (Not Available)", interactive=False)
+```
+
+# ============================================================================
+
+# CUSTOM CSS
+
+# ============================================================================
+
+custom_css = “””
+.gradio-container { max-width: 1400px !important; }
+.header-section {
+text-align: center; padding: 40px 20px;
+background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+color: white; border-radius: 12px; margin-bottom: 30px;
+}
+.header-section h1 { font-size: 3rem; margin-bottom: 10px; font-weight: 700; }
+.brain-badge {
+display: inline-block; background: #ff6b6b; color: white;
+padding: 8px 16px; border-radius: 20px; font-weight: bold;
+margin: 10px 5px;
+}
+“””
+
+# SEO
+
+seo_meta = SEOOptimizer.get_meta_tags()
+seo_structured = SEOOptimizer.get_structured_data()
+
+# ============================================================================
+
+# GRADIO INTERFACE
+
+# ============================================================================
+
+demo = gr.Blocks(title=“ProVerBs Ultimate Legal AI Brain”, css=custom_css)
+
+with demo:
+# Add SEO tags
+gr.HTML(seo_meta + seo_structured)
+
+```
+# Header
+gr.HTML("""
+<div class="header-section">
+    <h1>⚖️ ProVerBs Ultimate Legal AI Brain</h1>
+    <p style="font-size: 1.3rem;">Powered by Pro'VerBs™ & ADAPPT-I™ Technology</p>
+    <div>
+        <span class="brain-badge">🧠 100+ Reasoning Protocols</span>
+        <span class="brain-badge">🤖 6 AI Models</span>
+        <span class="brain-badge">⚖️ 7 Legal Modes</span>
+        <span class="brain-badge">🎙️ Voice Cloning</span>
+    </div>
+    <p style="font-size: 0.9rem; margin-top: 15px; opacity: 0.9;">
+        Chain-of-Thought • Self-Consistency • Tree-of-Thoughts • ReAct • Reflexion • RAG<br>
+        Quantum Reasoning • Multi-Agent • Voice Cloning • Audio Processing
+    </p>
+</div>
+""")
+
+with gr.Tabs():
+    # Welcome Tab
+    with gr.Tab("🏠 Welcome"):
+        gr.Markdown("""
+        ## Welcome to the Ultimate ProVerBs Legal AI Brain
+        
+        ### 🧠 Unified Reasoning Brain (100+ Protocols)
+        
+        **Core Reasoning Protocols:**
+        - Chain-of-Thought (CoT) - Step-by-step reasoning
+        - Self-Consistency - Multiple reasoning paths
+        - Tree-of-Thoughts (ToT) - Branching exploration
+        - ReAct - Reason + Act cycles
+        - Reflexion - Self-reflection with memory
+        - RAG - Retrieval-Augmented Generation
+        
+        ### 🤖 6 AI Model Options:
+        - 🤗 HuggingFace Llama-3.3-70B (Free, always available)
+        - 🧠 GPT-4 Turbo (OpenAI) - Coming Soon
+        - ✨ Gemini 3.0 (Google) - Coming Soon
+        - 🔍 Perplexity AI (Research) - Coming Soon
+        - 🥷 Ninja AI - Coming Soon
+        - 💻 LM Studio (Local) - Coming Soon
+        
+        ### ⚖️ 7 Specialized Legal Modes:
+        - Navigation | General Legal | Document Validation
+        - Legal Research | Etymology | Case Management | Regulatory Updates
+        
+        ### 🎙️ Voice Cloning:
+        - Record voice samples
+        - Clone voices with text-to-speech
+        - Professional audio processing
+        - Voice profile management
+        
+        **Get Started:** Click "🤖 AI Legal Chatbot" tab!
+        """)
+    
+    # AI Chatbot Tab
+    with gr.Tab("🤖 AI Legal Chatbot"):
+        gr.Markdown("""
+        ## Multi-AI Legal Chatbot
+        Select your AI model and legal assistant mode below!
+        """)
+        
+        with gr.Row():
+            ai_provider_selector = gr.Dropdown(
+                choices=[
+                    ("🤗 Llama-3.3-70B (Free)", "huggingface"),
+                    ("🧠 GPT-4 Turbo", "gpt4"),
+                    ("✨ Gemini 3.0", "gemini"),
+                    ("🔍 Perplexity AI", "perplexity"),
+                    ("🥷 Ninja AI", "ninjaai"),
+                    ("💻 LM Studio", "lmstudio")
+                ],
+                value="huggingface",
+                label="🤖 AI Model"
+            )
+            
+            mode_selector = gr.Dropdown(
+                choices=[
+                    ("📍 Navigation", "navigation"),
+                    ("💬 General Legal", "general"),
+                    ("📄 Document Validator", "document_validation"),
+                    ("🔍 Legal Research", "legal_research"),
+                    ("📚 Etymology", "etymology"),
+                    ("💼 Case Management", "case_management"),
+                    ("📋 Regulatory Updates", "regulatory_updates")
+                ],
+                value="general",
+                label="⚖️ Legal Mode"
+            )
+            
+            use_reasoning_toggle = gr.Checkbox(
+                label="🧠 Enable Reasoning Protocols",
+                value=True,
+                info="Use 100+ reasoning protocols for enhanced analysis"
+            )
+        
+        chatbot_interface = gr.ChatInterface(
+            respond_with_ultimate_brain,
+            chatbot=gr.Chatbot(
+                height=550,
+                placeholder="💬 Ultimate Legal AI ready! Ask anything...",
+                show_label=False
+            ),
+            textbox=gr.Textbox(
+                placeholder="Ask your legal question here...",
+                container=False,
+                scale=7
+            ),
+            additional_inputs=[
+                mode_selector,
+                ai_provider_selector,
+                use_reasoning_toggle,
+                gr.Slider(128, 4096, value=2048, step=128, label="Max Tokens"),
+                gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
+                gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
+            ],
+            examples=[
+                ["What reasoning protocols are available?"],
+                ["Analyze this contract using Chain-of-Thought reasoning"],
+                ["Research case law with Tree-of-Thoughts exploration"],
+                ["Explain legal etymology of 'habeas corpus'"]
+            ],
+            cache_examples=False
+        )
+    
+    # Voice Cloning Tab
+    with gr.Tab("🎙️ Voice Cloning"):
+        if VOICE_AVAILABLE:
+            create_supertonic_interface()
+        else:
+            create_mock_voice_interface()
+    
+    # Analytics Tab
+    with gr.Tab("📊 Analytics"):
+        gr.Markdown("""
+        ## Analytics & Performance Dashboard
+        View real-time analytics and performance metrics for the Ultimate Brain.
+        """)
+        
+        with gr.Row():
+            analytics_btn = gr.Button("📊 Refresh Analytics", variant="primary")
+            clear_cache_btn = gr.Button("🗑️ Clear Cache", variant="secondary")
+        
+        analytics_output = gr.JSON(label="Analytics Data")
+        performance_output = gr.JSON(label="Performance Metrics")
+        cache_stats_output = gr.JSON(label="Cache Statistics")
+        
+        analytics_btn.click(
+            fn=lambda: (
+                analytics_tracker.get_analytics(),
+                performance_monitor.get_metrics(),
+                performance_cache.get_stats()
+            ),
+            outputs=[analytics_output, performance_output, cache_stats_output]
+        )
+        
+        clear_cache_btn.click(
+            fn=lambda: performance_cache.clear(),
+            outputs=[cache_stats_output]
+        )
+    
+    # About Tab
+    with gr.Tab("ℹ️ About"):
+        status_text = "✅ All modules loaded" if all([
+            UNIFIED_BRAIN_AVAILABLE,
+            PERFORMANCE_AVAILABLE,
+            ANALYTICS_AVAILABLE,
+            VOICE_AVAILABLE
+        ]) else "⚠️ Some modules unavailable (using fallbacks)"
+        
+        gr.Markdown(f"""
+        ## About ProVerBs Ultimate Legal AI Brain
+        
+        ### Status: {status_text}
+        
+        **Module Status:**
+        - Unified Brain: {"✅" if UNIFIED_BRAIN_AVAILABLE else "⚠️ Fallback"}
+        - Performance: {"✅" if PERFORMANCE_AVAILABLE else "⚠️ Fallback"}
+        - Analytics: {"✅" if ANALYTICS_AVAILABLE else "⚠️ Fallback"}
+        - Voice Cloning: {"✅" if VOICE_AVAILABLE else "⚠️ Not Available"}
+        
+        ### 🚀 Revolutionary Features:
+        - **100+ Reasoning Protocols** - Most advanced reasoning system
+        - **6 AI Models** - Choose the best for your needs
+        - **7 Legal Modes** - Specialized for different legal tasks
+        - **Voice Cloning** - Professional Supertonic integration (when available)
+        
+        ### ⚠️ Disclaimer:
+        This platform provides general legal information only. Consult with a licensed attorney for specific legal matters.
+        
+        ---
+        **Version 3.0.1 FIXED** | Built by Solomon7890
+        """)
+
+# Footer
+gr.Markdown("""
+---
+<div style="text-align: center; padding: 20px;">
+    <p><strong>⚖️ ProVerBs Ultimate Legal AI Brain v3.0.1</strong></p>
+    <p>Powered by Pro'VerBs™ & ADAPPT-I™ | 100+ Protocols | 6 AI Models</p>
+    <p style="font-size: 0.85rem; color: #666;">
+        © 2025 Solomon 8888 | Built with ❤️ for legal professionals worldwide
+    </p>
+</div>
+""")
+```
+
+# ============================================================================
+
+# LAUNCH
+
+# ============================================================================
+
+if **name** == “**main**”:
+demo.queue(max_size=20)
+demo.launch(
+server_name=“0.0.0.0”,
+server_port=7860,
+share=False
+)