Add Professional GUI with Gradio Interface

[rwilliamspbg-ops]

🚀 Professional GUI Implementation for Mohawk Inference Engine

Overview

This PR introduces a comprehensive, professional-grade Graphical User Interface (GUI) for the Mohawk Inference Engine, built with Gradio. The new interface provides an intuitive, interactive experience for managing models, running inference, and monitoring system metrics.

✨ New Features

💬 Chat Interface (components/chat_interface.py)

• Multi-turn conversation support with full history management
• Real-time streaming responses with typing indicators
• Markdown and code syntax highlighting
• Conversation export to JSON/Markdown
• Clear conversation functionality

📁 Model Manager (components/model_manager.py)

• Load models from HuggingFace Hub or local paths
• Progress bar tracking during model loading
• Model information display (architecture, parameters, device)
• Unload models to free memory
• Support for both HF and local model sources

⚙️ Parameter Panel (components/parameter_panel.py)

• Fine-grained control over generation parameters:
  • Temperature (0.1-2.0)
  • Max tokens (1-4096)
  • Top-p (0.1-1.0)
  • Top-k (1-100)
  • Repetition penalty (0.5-2.0)
• 5 preset configurations:
  • Precise: Deterministic outputs (temp 0.1)
  • Balanced: General purpose (temp 0.7)
  • Creative: Creative writing (temp 1.2)
  • Chaotic: Maximum creativity (temp 2.0)
  • Code: Optimized for code generation
• Real-time parameter display

📊 Metrics Dashboard (components/metrics_dashboard.py)

• Live performance monitoring:
  • Tokens per second throughput gauge
  • Latency indicator (ms)
  • System memory usage (RAM & VRAM)
  • Token counter
• Historical performance charts using Plotly
• Real-time updates via WebSocket

⚙️ Settings Panel (components/settings_panel.py)

• Theme selection (Dark/Light/System)
• API endpoint configuration
• Keyboard shortcuts reference
• Data management (clear cache, export settings)

🏗️ Architecture Changes

New Directory Structure

mohawk/
├── gui/
│   ├── app.py                 # Main Gradio application
│   ├── components/
│   │   ├── chat_interface.py
│   │   ├── model_manager.py
│   │   ├── parameter_panel.py
│   │   ├── metrics_dashboard.py
│   │   └── settings_panel.py
│   ├── styles/
│   │   └── theme.py           # Custom CSS themes
│   └── utils/
│       ├── websocket_handler.py
│       └── state_manager.py

Key Design Decisions

• Component-based architecture: Each UI component is modular and independently testable
• State management: Centralized state manager for persistent user preferences
• Real-time updates: WebSocket integration for live metrics without polling
• Theming support: Professional dark/light themes with consistent color palette
• Responsive design: Works on desktop and tablet screens

📦 Dependencies Added

• gradio>=4.0.0 - Web UI framework
• plotly>=5.0.0 - Interactive charts
• psutil>=5.9.0 - System monitoring
• websockets>=12.0 - Real-time communication

🧪 Testing

All existing tests pass:

======================== 37 passed, 1 warning in 1.78s =========================

New GUI components follow the same testing patterns and are ready for integration tests.

📖 Usage

Launch the GUI

# Using Python module
python -m mohawk.gui.app

# Or using CLI command (after installation)
pip install -e ".[gui]"
mohawk-gui

Access the Interface

Open your browser to: http://127.0.0.1:7860

Configuration

The GUI respects existing Mohawk configuration files and environment variables. Additional settings can be configured through the Settings tab.

✅ Quality Checklist

• Code follows project style guidelines
• All existing tests pass (37/37)
• Components are modular and well-documented
• Error handling implemented throughout
• Responsive design tested
• Theme consistency verified
• No breaking changes to existing API

🎨 Design Highlights

• Professional color scheme: Deep blues and purples for dark mode
• Clean typography: System fonts for optimal readability
• Intuitive layout: Tabbed interface with logical grouping
• Visual feedback: Loading states, progress indicators, success messages
• Accessibility: High contrast ratios, clear labels

🔮 Future Enhancements (See IMPROVEMENT_PLAN.md)

• Batch processing interface
• Model comparison tools
• Advanced prompt templates
• Plugin system for custom components
• Mobile-responsive optimizations
• Multi-language support

---

Related Issue: Addresses GUI enhancement requirements from improvement plan
Documentation: See IMPROVEMENT_PLAN.md for complete roadmap
Breaking Changes: None - fully backward compatible

[rwilliamspbg-ops]

@copilot resolve the merge conflicts in this pull request

[Copilot]

@copilot resolve the merge conflicts in this pull request

Merge conflicts have been resolved. The 4 conflicting files (.gitignore, README.md, pyproject.toml, requirements.txt) were resolved by using origin/main (v2.1.0) as the base and integrating the Gradio-specific additions from this branch — the [web-gui] optional dependency group in pyproject.toml and gradio/plotly in requirements.txt. A true merge commit has been pushed.