Dhruv Pawar
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metadata
title: Advanced AI Reasoning System Pro
emoji: 🧠
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.0.0
app_file: main.py
pinned: false
license: mit
short_description: Advanced AI reasoning with multiple methodologies
tags:
  - llm
  - reasoning
  - groq
  - ai
  - research

🧠 Advanced AI Reasoning System Pro

Advanced AI Reasoning System Pro Python Gradio Groq

Next-Generation AI Research Platform with Stunning Dark Theme UI

Production-ready AI reasoning application featuring multiple research-backed methodologies, beautiful dark theme interface, advanced caching, real-time analytics, and comprehensive export capabilities.

πŸš€ Live Demo β€’ πŸ“š Documentation β€’ 🎨 UI Features β€’ πŸ”§ Installation


🎨 Modern Dark Theme UI

Dive into a stunning, professionally designed interface that sets new standards for AI applications.

🌟 Visual Excellence

  • Perfect Typography: Space Grotesk for headlines, Inter for body text, JetBrains Mono for code
  • High-Contrast Dark Theme: Crisp white text on carefully selected dark backgrounds for optimal readability
  • Font Smoothing: Anti-aliased fonts with optimized rendering for crystal-clear text display
  • Professional Branding: Animated logo, gradient accents, and polished visual elements

⚑ Interactive Animations

  • Smooth Transitions: Cubic-bezier transitions for all interactive elements
  • Status Indicators: Pulsing animations for live system status
  • Hover Effects: Elegant lift and glow effects on buttons and cards
  • Loading States: Beautiful spinners and progress indicators

πŸ“± Responsive Design

  • Mobile-Optimized: Centered layouts and touch-friendly interactions
  • Breakpoint-Specific: Tailored designs for tablets, phones, and desktops
  • Flexible Components: Adaptive feature badges and navigation elements

✨ Research Features

πŸ”¬ Advanced Reasoning Modes

  • 🌳 Tree of Thoughts (ToT) - Systematic exploration of multiple reasoning paths
  • πŸ”— Chain of Thought (CoT) - Step-by-step logical reasoning
  • πŸ” Self-Consistency - Multiple solution paths with consensus validation
  • πŸͺž Reflexion - Self-critique and iterative improvement cycles
  • πŸ‘₯ Multi-Agent Debate - Multiple AI perspectives with synthesis
  • πŸ”„ Analogical Reasoning - Problem-solving through structured analogies

⚑ Performance Features

  • Smart Caching: LRU cache with TTL for accelerated responses
  • Rate Limiting: Token bucket algorithm preventing API overload
  • Streaming: Real-time response generation
  • Multi-threading: Concurrent request processing

πŸ“Š Analytics & Monitoring

  • Live Metrics: Real-time performance visualization
  • Conversation Analytics: Usage patterns and insights
  • Cache Statistics: Hit/miss ratios and efficiency
  • Session Tracking: Individual session identification

πŸ“€ Export Capabilities

  • Multi-Format: JSON, Markdown, Plain Text, PDF
  • Rich Metadata: Timestamps, models, and performance metrics
  • Auto Backups: Scheduled conversation preservation
  • Smart Search: Keyword-based historical retrieval

πŸš€ Quick Start

Prerequisites

Installation

# Clone and setup
git clone <repository-url>
cd reasoning-system-pro
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Configure and run
cp .env.example .env
# Add your GROQ_API_KEY to .env
python main.py

πŸ“Š Available Models

Meta / Llama Models

  • llama-3.3-70b-versatile - Best overall performance
  • llama-3.1-8b-instant - Ultra-fast responses
  • llama-4-maverick-17b-128k - Experimental long context

DeepSeek Models

  • deepseek-r1-distill-llama-70b - Optimized reasoning

Mixtral Models

  • mixtral-8x7b-32768 - Long context specialist

πŸ”§ Configuration

Key configuration options:

# API
GROQ_API_KEY=your_key_here

# Performance
CACHE_SIZE=100
RATE_LIMIT_REQUESTS=50

# Features
ENABLE_PDF_EXPORT=true
ENABLE_CACHE=true

πŸ“– Usage

Simply type your question in the chat interface and select your preferred reasoning mode. Enable "Self-Critique" for automatic validation and refinement.


🀝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

πŸ“„ License

MIT License - See LICENSE file for details


Built with ❀️ using Gradio and Groq