Fri, Oct 10, 25, SESSION RECOVERY - Auto-imported from uconGPT project

Auto-imported from: D:/repos/aiegoo/uconGPT/eng2Fix/kor2fix/SESSION_RECOVERY.md
Original filename: SESSION_RECOVERY.md
Import date: Fri, Oct 10, 25

Korean Learning TUI - Session Recovery Guide

Recovery Date: Post-restart continuation
Last Session: October 10, 2025

🚀 Quick Recovery Steps

1. Verify Environment

# Check if you're in the correct directory
cd /mnt/d/repos/aiegoo/uconGPT/eng2Fix/kor2fix
pwd

# Verify Korean Knowledge Base API is running
curl -s -X POST http://localhost:8201/api/llm/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "test", "context": "korean_mode"}'

2. Test Current Working Features

# Test voice output (should work with headphones)
python scripts/test_voice_with_headphones.py

# Launch working TUI without voice input
python scripts/working_korean_tui.py

# Launch full TUI with voice output
python scripts/korean_learning_tui_with_voice.py

3. Continue Windows Development

# If on Windows, run setup script
python setup_windows.py

# Install Windows-optimized requirements
pip install -r requirements-windows.txt

📁 Key Files Status

✅ Working Files

  • scripts/korean_learning_tui_with_voice.py - Main TUI with voice output
  • scripts/korean_voice_utils.py - Voice utility functions
  • scripts/working_korean_tui.py - Stable TUI without voice
  • requirements-windows.txt - Windows Python 3.14 setup

🔧 Configuration Files

  • PROJECT_SUMMARY.md - Complete development summary
  • VOICE_INPUT_ROADMAP.md - Next steps for voice input
  • WINDOWS_SETUP_GUIDE.md - Windows installation guide
  • setup_windows.py - Automated Windows setup

🎯 Current State

✅ What’s Working

  • Korean AI conversation through localhost:8201
  • Voice OUTPUT (TTS) through headphones using espeak
  • Interactive vocabulary games with audio
  • Rich TUI interface with tabs and navigation
  • Korean text rendering and processing

❌ What Needs Work

  • Voice INPUT (microphone) - blocked in WSL environment
  • Real-time pronunciation assessment
  • Full voice conversation capabilities

🔄 Next Actions

On Linux/WSL (Current Environment)

  1. Continue TUI interface improvements
  2. Enhance Korean learning content
  3. Add more vocabulary and games
  4. Improve AI conversation prompts
  1. Set up Python 3.14 environment
  2. Install Windows-specific requirements
  3. Implement voice input functionality
  4. Test complete voice pipeline

🛠️ Troubleshooting

If Korean API is down:

# Check if backend services are running
docker-compose ps

# Restart if needed
docker-compose restart backend rasa-core

If voice output stops working:

# Test espeak directly
espeak "Hello test"

# Check if audio system is working
python -c "
import subprocess
result = subprocess.run(['espeak', 'test'], capture_output=True)
print('Audio test result:', result.returncode)
"

If TUI crashes:

# Use the stable version
python scripts/working_korean_tui.py

# Or the original fixed version
python scripts/kor2unity_advanced_tui_fixed_minimal.py

🎓 Development Context

You were working on implementing voice input/output for a Korean learning platform. Voice output is working well through espeak, but voice input is blocked by WSL audio driver limitations. The solution is to continue development on a Windows host machine with proper microphone access.

The Korean Knowledge Base API at localhost:8201 is working excellently and provides high-quality Korean learning responses.

📊 Success Metrics

  • ✅ Korean TUI renders correctly
  • ✅ AI responses in Korean and English
  • ✅ Voice output through headphones
  • ✅ Interactive games and learning modules
  • ⏳ Voice input implementation (Windows target)

Resume from: Voice output working, Windows setup ready, proceed with voice input implementation