# Whisper Integration Implementation Summary

## What Was Implemented

### 1. New `whisper_wrapper.py` Module
- **Clean Python wrapper** for faster-whisper functionality
- **Class-based design** (`WhisperWrapper`) for better organization
- **Dependency checking** using existing `tool_checker.py`
- **Error handling** and logging
- **Autocorrection support** for English and Czech languages
- **Model validation** and fallback logic

### 2. Updated `mpvsa.py`
- **Replaced shell calls** to `fawhis` with direct Python integration
- **New interactive options:**
  - `(w)` - English transcription with `small.en` model
  - `(W)` - Multilingual transcription with `small` model
- **New CLI options:**
  - `-w, --whisper` - English transcription
  - `-W, --whisper-multi` - Multilingual transcription
- **Improved error handling** and user feedback
- **Backward compatibility** - old `fawhis` still available

### 3. Enhanced Utility Modules
- **Extended `shell_calls.py`:**
  - `validate_audio_file()` - Check if file has supported format
  - `get_media_duration()` - Get file duration using ffmpeg
- **Extended `tool_checker.py`:**
  - `check_whisper_dependencies()` - Check required tools
  - `verify_model_availability()` - Validate model names
  - `get_available_memory_gb()` - Check system memory

## Key Features

### Model Selection Strategy
- **English mode:** Defaults to `small.en`, falls back to `base.en`
- **Multilingual mode:** Defaults to `small`, falls back to `base`
- **Automatic model validation** before attempting to load

### Error Handling
- **Graceful degradation** when models aren't available
- **Clear error messages** for missing files or dependencies
- **Detailed logging** to `~/jusflaudio_whisper.log`

### Performance Optimizations
- **Lazy model loading** - only loads when actually used
- **Memory-efficient** computation (`int8` on CPU)
- **Batch processing** for better performance

## Usage Examples

### Interactive Mode
```bash
# Launch interactive mode
uv run src/jusflaudio/mpvsa.py video.mp4

# Then use:
# w - for English transcription
# W - for multilingual transcription
```

### Command Line Mode
```bash
# English transcription
uv run src/jusflaudio/mpvsa.py video.mp4 -w

# Multilingual transcription  
uv run src/jusflaudio/mpvsa.py video.mp4 -W
```

### Python API
```python
from jusflaudio.whisper_wrapper import create_english_whisper

# Create wrapper
whisper = create_english_whisper("small.en")

# Transcribe file
output_path, autocorrect_path = whisper.transcribe_file(
    "video.mp4", 
    language="en",
    use_autocorrect=True
)
```

## Backward Compatibility
- **`fawhis.py` remains unchanged** and fully functional
- **All existing CLI options** still work as before
- **Integration is additive** - no breaking changes

## Benefits
1. **No more shell calls** - direct Python integration
2. **Better error handling** - graceful failures and clear messages
3. **Improved performance** - optimized model loading
4. **Enhanced maintainability** - modular, well-organized code
5. **Extensible design** - easy to add new features
6. **Type safety** - proper type hints throughout

## Files Modified
- ✅ `src/jusflaudio/whisper_wrapper.py` (new)
- ✅ `src/jusflaudio/mpvsa.py` (updated)
- ✅ `src/jusflaudio/shell_calls.py` (extended)
- ✅ `src/jusflaudio/tool_checker.py` (extended)

## Testing
- ✅ All unit tests pass
- ✅ CLI functionality verified
- ✅ Error handling tested
- ✅ Integration validated

## Next Steps (Future Enhancements)
- Add GPU support detection
- Implement batch processing for multiple files
- Add progress bars for long transcriptions
- Support for more Whisper models
- Integration with subtitle editing tools