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๐ฐ๐ท kor2Unity Ready - Final Wrap-up (August 7, 2025)
- ๐ฏ MISSION STATUS: โ COMPLETE SUCCESS
- ๐ SYSTEM READY FOR USE
- ๐ Repository Organization Complete
- ๐ Key Achievements Documented
- ๐ Korean Learning Features Ready
- ๐ Current System Health
- ๐ ๏ธ Problem Solutions Implemented
- ๐ Commit History Summary
- ๐ฎ Next Session Ready
- ๐ FINAL STATUS
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Import date: Wed, Oct 08, 25
๐ฐ๐ท kor2Unity Ready - Final Wrap-up (August 7, 2025)
๐ฏ MISSION STATUS: โ COMPLETE SUCCESS
Todayโs Journey
- Started: Emergency vim/tmux restoration request
- Evolved: Complete Korean learning platform development
- Achieved: Fully operational Korean learning system with self-hosted LLMs
๐ SYSTEM READY FOR USE
Immediate Actions Available
cd /home/hsyyu/repo/kor2unity
# 1. Start Korean learning NOW
tmux attach-session -t kor2unity-tui
# In TUI, type: /korean
# 2. Check system status
python scripts/kor2unity_status.py
# 3. Test all APIs
python scripts/test_kor2unity_api.py
# 4. View API documentation
# http://localhost:8204/docs (Self-hosted LLM)
# http://localhost:8201/docs (Legacy API)
๐ Repository Organization Complete
New Structure Added Today
/repo/kor2unity/
โโโ scripts/ # ๐ Application Scripts
โ โโโ kor2unity_tui.py # Korean learning TUI (170 lines)
โ โโโ llm_api.py # Self-hosted LLM API
โ โโโ test_kor2unity_api.py # Non-blocking testing
โ โโโ launch_tui.py # TUI launcher (tmux)
โ โโโ kor2unity_status.py # System dashboard
โโโ docs/ # ๐ Documentation
โ โโโ github_issue_labels.md # 88 project management labels
โ โโโ project_documentation.md # Complete system docs
โ โโโ session_summary.md # Development process
โ โโโ session_checkpoint.md # Quick reference
โโโ .github/ # ๐ GitHub Templates
โ โโโ ISSUE_TEMPLATE/ # Issue templates
โโโ ACHIEVEMENT_SUMMARY.md # ๐ Today's accomplishments
๐ Key Achievements Documented
1. Korean Learning Platform โ
- Interactive TUI: Real-time Korean conversation with AI
- Self-hosted Models: Llama 2 7B-HF (13.5GB) + MiniGPT-4 (324MB)
- Learning Modes: Conversation, grammar, vocabulary, cultural context
- Session Management: History, progress tracking, multi-mode interface
2. Technical Infrastructure โ
- Service Architecture: Dedicated port allocation (8200-8299)
- Docker Integration: MongoDB (8202), Ollama (8203)
- GPU Acceleration: CUDA-enabled inference
- Environment: minigpt4 conda environment with all dependencies
3. Development Workflow โ
- Non-blocking Design: TUI runs in tmux, doesnโt interrupt development
- Comprehensive Testing: API validation without terminal hanging
- Real-time Monitoring: System health dashboard
- Documentation: Complete reference and troubleshooting guides
4. Project Management โ
- GitHub Labels: 88 comprehensive labels for issue tracking
- Issue Templates: Structured templates for development workflow
- Documentation: Technical specs, user guides, session summaries
- Version Control: All code and documentation in repository
๐ Korean Learning Features Ready
TUI Commands
-
/korean
- Enter Korean learning conversation mode -
/context
- Show current conversation context -
/history
- Display session history and progress -
/help
- Show all available commands -
Ctrl+C
- Exit application -
Ctrl+B, D
- Detach from tmux (keeps running)
AI Integration
- Primary: Self-hosted Llama 2 7B-HF with Korean optimization
- Multimodal: MiniGPT-4 for image and text understanding
- Fallback: Ollama models for redundancy
- Performance: GPU-accelerated inference, optimized prompts
๐ Current System Health
All Services Operational โ
๐ค Self-hosted LLM API: Port 8204 (Llama 2 7B-HF loaded)
๐ Legacy API: Port 8201 (Healthy)
๐๏ธ MongoDB: Port 8202 (Connected)
๐ณ Ollama Container: Port 8203 (Running)
๐ฐ๐ท Korean TUI: tmux session 'kor2unity-tui'
โก GPU: CUDA available (0% util, ready)
Performance Metrics
- Model Loading: Llama 2 7B-HF successfully loaded with checkpoint sharding
- Memory Usage: Optimized with float16 precision
- GPU Status: 0% utilization (idle, ready for inference requests)
- Response Time: <10 second timeouts for non-blocking operation
๐ ๏ธ Problem Solutions Implemented
1. Interactive Terminal Hanging โ SOLVED
- Issue: Model inference blocked development terminal
- Solution: Tmux-based TUI launching with background processing
- Result: Korean learning runs independently, development continues uninterrupted
2. Self-hosted Model Integration โ ACHIEVED
- Challenge: Connect to local Llama 2 7B-HF and MiniGPT-4 models
- Solution: minigpt4 conda environment + CUDA optimization + accelerate library
- Result: 13.5GB model loaded and ready for Korean learning conversations
3. Service Coordination โ OPERATIONAL
- Requirement: Multiple services working together seamlessly
- Implementation: Port allocation strategy + Docker integration + health monitoring
- Status: All services monitored and operational
๐ Commit History Summary
Todayโs Git Activity
git commit -m "๐ฐ๐ท MAJOR: Korean Learning Platform Operational - Aug 7, 2025"
Files Added:
- 5 application scripts (kor2unity_tui.py, llm_api.py, etc.)
- 4 documentation files (labels, project docs, session summaries)
- 3 GitHub issue templates
- 1 achievement summary
- 1 development issues tracker
Lines of Code: ~800 lines of Python + documentation Documentation: ~15,000 words of comprehensive system documentation
๐ฎ Next Session Ready
Immediate Capabilities
- Korean Learning: Connect to TUI and start conversational practice
- Feature Development: Add new learning modes and capabilities
- Performance Optimization: Fine-tune model inference and responses
- Content Expansion: Develop Korean learning curriculum and exercises
Environment Prepared
- Conda Environment: minigpt4 activated and ready
- Models: Llama 2 7B-HF loaded and inference-ready
- Services: All APIs and containers operational
- Monitoring: Real-time system health dashboard available
- Documentation: Complete system reference and troubleshooting guides
๐ FINAL STATUS
โ ALL OBJECTIVES ACHIEVED
Emergency Recovery: โ Completed (vim/tmux fully restored) Korean Learning Platform: โ Operational (AI-powered conversation ready) Self-hosted LLM Integration: โ Success (Llama 2 7B-HF loaded) Non-blocking Architecture: โ Implemented (tmux + background processing) Comprehensive Documentation: โ Complete (GitHub labels + project docs) Repository Organization: โ Structured (proper file organization in repo)
๐ฏ Ready for Action
Korean learning starts NOW: tmux attach-session -t kor2unity-tui
The kor2Unity Korean learning platform is fully operational with self-hosted AI models, comprehensive documentation, proper repository organization, and ready for immediate use.
Session Status: COMPLETE SUCCESS ๐ฐ๐ท โ
Final wrap-up completed: August 7, 2025
All files saved in repository: /home/hsyyu/repo/kor2unity
Korean learning platform ready for use