Spaces:
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Running
| """ | |
| ProVerBs Legal AI - Ultimate Brain Integration | |
| Combines Multi-AI + Unified Reasoning Brain + Supertonic Audio | |
| Powered by Pro'VerBs™ and ADAPPT-I™ Technology | |
| """ | |
| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| import json | |
| import os | |
| import asyncio | |
| 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 | |
| class UltimateLegalBrain: | |
| """ | |
| Ultimate Legal AI Brain combining: | |
| - Multi-AI providers (GPT-4, Gemini, Perplexity, etc.) | |
| - 100+ Reasoning protocols | |
| - Legal-specific modes | |
| """ | |
| 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 Brain integration""" | |
| # Step 1: Use Unified Brain for reasoning if enabled | |
| 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' | |
| ) | |
| # Step 2: Format response with legal context | |
| legal_prompt = self.get_legal_system_prompt(mode) | |
| # Step 3: Combine reasoning with legal expertise | |
| 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: | |
| """Get legal-specific system prompts""" | |
| 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 Ultimate Brain | |
| ultimate_brain = UltimateLegalBrain() | |
| 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 | |
| ): | |
| """Generate response using Ultimate Brain""" | |
| import time | |
| start_time = time.time() | |
| # Track analytics | |
| analytics_tracker.track_query( | |
| query=message, | |
| mode=mode, | |
| ai_provider=ai_provider, | |
| reasoning_enabled=use_reasoning, | |
| response_time=0, # Will update later | |
| success=True | |
| ) | |
| # Process with Brain | |
| brain_result = await ultimate_brain.process_legal_query( | |
| query=message, | |
| mode=mode, | |
| ai_provider=ai_provider, | |
| use_reasoning_protocols=use_reasoning | |
| ) | |
| # Show reasoning trace if available | |
| 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" | |
| # Generate AI response using selected provider | |
| 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)}" | |
| elif ai_provider == "gpt4": | |
| api_key = os.getenv("OPENAI_API_KEY") | |
| if not api_key: | |
| yield "⚠️ OpenAI API key not set. Add OPENAI_API_KEY to Space secrets." | |
| return | |
| headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"} | |
| data = { | |
| "model": "gpt-4-turbo-preview", | |
| "messages": [{"role": "user", "content": brain_result['enhanced_query']}], | |
| "max_tokens": max_tokens, | |
| "temperature": temperature, | |
| "stream": True | |
| } | |
| response = reasoning_info if use_reasoning and brain_result['reasoning_result'] else "" | |
| try: | |
| resp = requests.post("https://api.openai.com/v1/chat/completions", | |
| headers=headers, json=data, stream=True) | |
| for line in resp.iter_lines(): | |
| if line and line.startswith(b'data: ') and line != b'data: [DONE]': | |
| try: | |
| json_data = json.loads(line[6:]) | |
| if json_data['choices'][0]['delta'].get('content'): | |
| response += json_data['choices'][0]['delta']['content'] | |
| yield response | |
| except: | |
| continue | |
| except Exception as e: | |
| yield f"{response}\n\n❌ GPT-4 Error: {str(e)}" | |
| else: | |
| yield "⚠️ Selected AI provider not yet configured. Using HuggingFace..." | |
| # 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; | |
| } | |
| """ | |
| # Create Gradio Interface | |
| demo = gr.Blocks(title="ProVerBs Ultimate Legal AI Brain", css=custom_css) | |
| # Add SEO meta tags | |
| seo_meta = SEOOptimizer.get_meta_tags() | |
| seo_structured = SEOOptimizer.get_structured_data() | |
| 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">🎵 Audio Processing</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 Coordination • Advanced Optimization | |
| </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 | |
| **Quantum-Specific Protocols:** | |
| - Quantum Job Orchestration | |
| - VQE (Variational Quantum Eigensolver) | |
| - QAOA (Quantum Approximate Optimization) | |
| - Circuit Transpilation | |
| - Error Mitigation | |
| **Multi-Agent Protocols:** | |
| - Agent Coordination | |
| - Contract Net Protocol | |
| - Decentralized Task Allocation | |
| ### 🤖 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 | |
| ### 🎵 Supertonic Audio Processing | |
| - Upload and analyze audio files | |
| - AI-powered transcription | |
| **Ready to experience the most advanced legal AI? Click "Ultimate AI Chatbot"!** | |
| """) | |
| # Ultimate AI Chatbot Tab | |
| with gr.Tab("🧠 Ultimate AI Chatbot"): | |
| gr.Markdown(""" | |
| ## Ultimate Legal AI with Reasoning Brain | |
| Select your preferences and start chatting with the most advanced legal AI! | |
| """) | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| 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" | |
| ) | |
| with gr.Column(scale=1): | |
| 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" | |
| ) | |
| with gr.Column(scale=1): | |
| 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 'habeas corpus' with etymological reasoning"], | |
| ["Validate this legal document using Self-Consistency"], | |
| ["Help me manage my case with ReAct protocol"] | |
| ], | |
| cache_examples=False | |
| ) | |
| gr.Markdown(""" | |
| ### 🧠 Reasoning Protocols Explained: | |
| - **Chain-of-Thought**: Breaks down complex queries into step-by-step reasoning | |
| - **Self-Consistency**: Generates multiple reasoning paths and finds consensus | |
| - **Tree-of-Thoughts**: Explores branching approaches and selects the best | |
| - **ReAct**: Combines reasoning with action cycles for interactive problem-solving | |
| - **Reflexion**: Self-reflects on attempts and improves iteratively | |
| - **RAG**: Retrieves relevant knowledge before generating responses | |
| ### 💡 Pro Tips: | |
| - Enable reasoning protocols for complex legal questions | |
| - HuggingFace model works instantly (no API key needed) | |
| - Each legal mode is optimized for specific tasks | |
| - Reasoning trace shows which protocols were applied | |
| """) | |
| # Reasoning Brain Info Tab | |
| with gr.Tab("🧠 Reasoning Brain"): | |
| gr.Markdown(""" | |
| ## Unified AI Reasoning Brain | |
| ### 📊 Protocol Categories: | |
| #### Core Reasoning (Protocols 1-50) | |
| - Chain-of-Thought (CoT) | |
| - Self-Consistency | |
| - Tree-of-Thoughts (ToT) | |
| - Graph-of-Thoughts (GoT) | |
| - ReAct (Reason + Act) | |
| - Plan-and-Solve | |
| - Program-of-Thoughts | |
| - Algorithm-of-Thoughts | |
| - Reflexion | |
| - Self-Refine | |
| - Chain-of-Verification | |
| - Skeleton-of-Thought | |
| - Thread-of-Thought | |
| - Maieutic Prompting | |
| - RAG (Retrieval-Augmented Generation) | |
| #### Quantum-Specific (Protocols 51-100) | |
| - Quantum Job Orchestration | |
| - Quantum State Preparation | |
| - VQE (Variational Quantum Eigensolver) | |
| - QAOA (Quantum Approximate Optimization) | |
| - Quantum Machine Learning | |
| - Circuit Transpilation | |
| - Error Mitigation | |
| - Quantum Error Correction | |
| #### Multi-Agent (Protocols 73-100) | |
| - Multi-Agent Coordination | |
| - Contract Net Protocol | |
| - Blackboard Systems | |
| - Hierarchical Task Networks | |
| ### 🎯 How It Works: | |
| 1. **Query Analysis**: Your question is analyzed for keywords and intent | |
| 2. **Protocol Selection**: The Brain selects appropriate reasoning protocols | |
| 3. **Execution**: Protocols run in sequence or parallel | |
| 4. **Synthesis**: Results are combined with legal expertise | |
| 5. **Response**: Enhanced answer with reasoning trace | |
| ### 🔧 Powered By: | |
| - **Pro'VerBs™** Open-Source Protocol | |
| - **ADAPPT-I™** Technology Implementation | |
| - Proprietary © 2025 Solomon 8888 | |
| ### ⚖️ Legal Applications: | |
| - Document analysis with multi-step verification | |
| - Case research with tree exploration | |
| - Contract validation with self-consistency | |
| - Legal reasoning with chain-of-thought | |
| - Regulatory updates with RAG | |
| """) | |
| # Analytics Dashboard 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] | |
| ) | |
| gr.Markdown(""" | |
| ### 📈 What's Tracked: | |
| **Analytics:** | |
| - Total queries processed | |
| - Success rate | |
| - Average response time | |
| - Most popular legal modes | |
| - Most popular AI models | |
| - Reasoning protocol usage | |
| - Recent queries | |
| **Performance:** | |
| - Cache hit rate | |
| - Total requests | |
| - Average response time | |
| - Error rate | |
| **Cache:** | |
| - Current cache size | |
| - Maximum capacity | |
| - TTL (Time To Live) | |
| - Oldest cached entry | |
| ### 💡 Optimization Tips: | |
| - High cache hit rate = faster responses | |
| - Monitor popular modes to optimize | |
| - Clear cache if experiencing issues | |
| - Analytics help identify usage patterns | |
| """) | |
| # 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 | |
| - **Quantum Reasoning** - Cutting-edge optimization protocols | |
| - **Multi-Agent System** - Coordinated problem-solving | |
| - **Audio Processing** - Supertonic AI integration | |
| ### 🏆 Technology Stack: | |
| - Unified AI Reasoning Brain (Proprietary) | |
| - Pro'VerBs™ Open-Source Protocol | |
| - ADAPPT-I™ Technology | |
| - Multi-AI Provider Integration | |
| - Advanced Natural Language Processing | |
| ### 🔑 API Key Setup: | |
| Set in Space Settings → Repository Secrets: | |
| - `OPENAI_API_KEY` - For GPT-4 | |
| - `GOOGLE_API_KEY` - For Gemini | |
| - `PERPLEXITY_API_KEY` - For Perplexity | |
| - `NINJAAI_API_KEY` - For NinjaAI | |
| ### 📜 Legal & Trademarks: | |
| **Proprietary License – Free to Use** | |
| © 2025 Solomon 8888. All Rights Reserved. | |
| **Trademarks:** | |
| - Pro'VerBs™ Open-Source Protocol | |
| - ADAPPT-I™ Technology Implementation | |
| - Dual Analysis Law Perspective™ | |
| All trademarks are registered and must be properly attributed. | |
| ### ⚠️ Disclaimer: | |
| This platform provides general legal information only. It does not constitute legal advice. | |
| Always consult with a licensed attorney for specific legal matters. | |
| --- | |
| **Version 3.0.0** | Ultimate Brain Edition | Built by Solomon7890 | |
| """) | |
| # Footer | |
| gr.Markdown(""" | |
| --- | |
| <div style="text-align: center; padding: 20px;"> | |
| <p><strong>⚖️ ProVerBs Ultimate Legal AI Brain v3.0</strong></p> | |
| <p>Powered by Pro'VerBs™ & ADAPPT-I™ | 100+ Reasoning Protocols | 6 AI Models</p> | |
| <p style="font-size: 0.85rem; color: #666;"> | |
| © 2025 Solomon 8888 | Built with ❤️ for legal professionals worldwide | |
| </p> | |
| </div> | |
| """) | |
| if __name__ == "__main__": | |
| demo.queue(max_size=20) | |
| demo.launch(server_name="0.0.0.0", server_port=7860, share=False) | |