0.2 final

Author: My Name

Diff for: README.md

@@ -15,7 +15,7 @@ Originally created by Guilherme da Silveira as "Telly Spelly".
 
 ## Project Structure
 
-- `blaze/` - Core application code
+- `blaze/` - Core application files
 - `docs/` - Documentation files
 - `install.py` - Installation script 
 - `uninstall.py` - Uninstallation script

Diff for: docs/activeContext.md

@@ -2,13 +2,14 @@
 
 ## Current Work Focus
 
-The current focus of the Syllablaze project is to optimize the application for Ubuntu KDE environments and rebrand from "Telly Spelly" to "Syllablaze". This involves:
+The current focus of the Syllablaze project is to optimize the application for Ubuntu KDE environments and enhance the Whisper model management functionality. This involves:
 
 1. Modifying the installation script to better handle Ubuntu-specific dependencies and paths
 2. Implementing more robust error handling for system libraries
 3. Updating all references from "telly-spelly" to "syllablaze" throughout the codebase
-4. Documenting the changes and creating comprehensive memory bank files
-5. Exploring the potential for a Flatpak version in the future
+4. Implementing a comprehensive Whisper model management interface
+5. Documenting the changes and creating comprehensive memory bank files
+6. Exploring the potential for a Flatpak version in the future
 
 ## Recent Changes
 
@@ -35,6 +36,13 @@ The current focus of the Syllablaze project is to optimize the application for U
    - Updated desktop file to use run-syllablaze.sh script with absolute path
    - Ensured the script is executable and properly configured
    - Updated installation script to create proper desktop integration
+8. **Whisper Model Management**: Implemented a comprehensive model management interface
+   - Created a table-based UI showing available models with detailed information
+   - Added visual indicators for downloaded vs. not-downloaded models
+   - Implemented model download functionality with progress tracking
+   - Added ability to delete models to free up disk space
+   - Added ability to set a model as active for transcription
+   - Implemented storage location display with option to open in file explorer
 
 ## Next Steps
 
@@ -54,8 +62,12 @@ The current focus of the Syllablaze project is to optimize the application for U
    - Simplified the installation process
    - Improved system dependency checks
 8. ✅ **Update README**: Revised the README.md file with the new directory structure and installation method
-9. **Test Installation**: Verify the installation process works correctly on Ubuntu KDE
-10. **Future Exploration**: Begin research on creating a Flatpak version
+9. ✅ **Implement Whisper Model Management**: Created a comprehensive model management interface
+   - Implemented table-based UI for model management
+   - Added download, delete, and activation functionality
+   - Integrated with settings window
+10. **Test Installation**: Verify the installation process works correctly on Ubuntu KDE
+11. **Future Exploration**: Begin research on creating a Flatpak version
 
 ## Active Decisions and Considerations
 
@@ -92,4 +104,9 @@ The current focus of the Syllablaze project is to optimize the application for U
 7. **Documentation Strategy**:
    - Decision: Create comprehensive memory bank files
    - Rationale: Ensures project knowledge is preserved and accessible
-   - Consideration: Will need regular updates as the project evolves
+   - Consideration: Will need regular updates as the project evolves
+
+8. **Whisper Model Management**:
+   - Decision: Implement a comprehensive model management interface
+   - Rationale: Provides better user control over model selection and disk space usage
+   - Consideration: Need to handle download progress simulation since Whisper API doesn't provide direct progress tracking

Diff for: docs/productContext.md

@@ -12,6 +12,7 @@ Syllablaze exists to bridge the gap between spoken word and digital text. In tod
 4. **Content Creation**: Facilitates the creation of written content through speech
 5. **Accessibility Needs**: Assists users with physical limitations that make typing difficult
 6. **Privacy Concerns**: Provides a local solution that doesn't send audio data to cloud services
+7. **Resource Management**: Helps users manage disk space and processing power through flexible model selection
 
 ## How It Should Work
 
@@ -37,6 +38,12 @@ Syllablaze exists to bridge the gap between spoken word and digital text. In tod
    - Whisper model selection (balancing speed vs. accuracy)
    - Global keyboard shortcuts
    - Interface preferences
+   - Language settings for transcription
+7. **Model Management**: Users can manage Whisper models through:
+   - A table-based interface showing all available models
+   - Visual indicators for downloaded vs. not-downloaded models
+   - Buttons to download, delete, or set models as active
+   - Information about model size and storage location
 
 ## User Experience Goals
 
@@ -48,6 +55,7 @@ Syllablaze exists to bridge the gap between spoken word and digital text. In tod
 6. **Confidence**: Users should trust that their audio is being processed correctly
 7. **Adaptability**: The application should work well in various environments and use cases
 8. **Cross-platform Consistency**: The application should provide a consistent experience across different Linux distributions, with special attention to Ubuntu KDE
+9. **Resource Awareness**: The application should help users make informed decisions about resource usage
 
 ## Target Users
 
@@ -57,4 +65,29 @@ Syllablaze exists to bridge the gap between spoken word and digital text. In tod
 4. **Researchers**: For recording and transcribing interviews or observations
 5. **Accessibility Users**: For those who find typing difficult or impossible
 6. **KDE Enthusiasts**: Users who appreciate well-integrated KDE applications
-7. **Privacy-conscious Users**: Those who prefer local processing over cloud services
+7. **Privacy-conscious Users**: Those who prefer local processing over cloud services
+8. **Resource-constrained Users**: Those with limited disk space or processing power who need flexibility in model selection
+
+## Enhanced Model Management Benefits
+
+1. **Informed Decisions**: Users can make informed decisions about which model to use based on:
+   - Disk space requirements
+   - Processing speed needs
+   - Accuracy requirements
+2. **Resource Optimization**: Users can:
+   - Delete unused models to free up disk space
+   - Choose smaller models for faster processing on less powerful hardware
+   - Select larger models for better accuracy when needed
+3. **Transparency**: Users can see:
+   - Which models are available
+   - Which models are downloaded
+   - Which model is currently active
+   - Where models are stored on disk
+4. **Control**: Users have direct control over:
+   - Which models to download
+   - Which models to keep
+   - Which model to use for transcription
+5. **Feedback**: Users receive clear feedback on:
+   - Download progress
+   - Success or failure of operations
+   - Current status of models

Diff for: docs/progress.md

@@ -15,23 +15,33 @@
    - Progress window with volume meter
    - Settings window for configuration
    - Notifications for transcription completion
+   - Comprehensive Whisper model management interface
 
 3. **Installation**:
    - Enhanced setup.sh script for user-level installation using pipx
    - Desktop file integration with KDE
    - Icon integration
    - Improved system dependency checks
 
+4. **Whisper Model Management**:
+   - Table-based UI showing all available models
+   - Visual indicators for downloaded vs. not-downloaded models
+   - Model download functionality with progress tracking
+   - Model deletion capability to free up disk space
+   - Model activation for transcription
+   - Storage location display with option to open in file explorer
+
 ## What's Left to Build
 
 1. **Flatpak Version**: Create a Flatpak package for improved cross-distribution compatibility
 2. **System-wide Installation Option**: Add support for system-wide installation as an alternative to user-level installation
 3. **Advanced Error Handling**: Implement more robust error handling for different system configurations
-
+4. **Enhanced Model Information**: Add more detailed model information including accuracy metrics and RAM requirements
+5. **Model Performance Benchmarking**: Add functionality to benchmark model performance on the user's hardware
 
 ## Current Status
 
-The core functionality works well, but there are opportunities for improvement in error handling and system integration.
+The core functionality works well, with significant improvements in the Whisper model management interface. There are still opportunities for enhancement in error handling and system integration.
 
 ### Installation Status
 
@@ -46,12 +56,14 @@ The core functionality works well, but there are opportunities for improvement i
 - Transcription accuracy depends on the Whisper model selected
 - KDE integration works well on standard KDE Plasma
 - Clipboard integration functions as expected
+- Whisper model management provides a comprehensive interface for model control
 
 ### Documentation Status
 
-- Memory bank files are being created
-- README.md needs updating
-- Installation instructions need enhancement for Ubuntu KDE
+- Memory bank files are being maintained
+- README.md has been updated
+- Installation instructions have been enhanced for Ubuntu KDE
+- Whisper model management plan has been documented and implemented
 
 ## Known Issues
 
@@ -76,12 +88,20 @@ The core functionality works well, but there are opportunities for improvement i
    - Transcription can be slow on systems without GPU acceleration
    - Large audio files may cause memory issues
    - Solution: Add more guidance on model selection based on hardware
+   - The new model management interface helps users make informed decisions about model selection
 
-5. **Rebranding**:
+5. **Rebranding**: ✅ COMPLETED
    - References to "telly-spelly" have been updated to "syllablaze" throughout the codebase
    - Icon file has been renamed from telly-spelly.png to syllablaze.png
    - Desktop file has been updated to use the new name
-6. **Version Management**:
+
+6. **Version Management**: ✅ COMPLETED
    - Added centralized version number in constants.py
    - Added version display in tooltip when hovering on the tray icon
-   - Added version display in splash screen
+   - Added version display in splash screen
+
+7. **Whisper Model Management**: ✅ IMPLEMENTED
+   - Created a comprehensive model management interface
+   - Implemented table-based UI for model management
+   - Added download, delete, and activation functionality
+   - Integrated with settings window

Diff for: docs/systemPatterns.md

@@ -15,6 +15,8 @@ flowchart TD
     E --> F[Clipboard Integration]
     C --> B
     C --> E
+    C --> G[Model Management]
+    G --> E
 ```
 
 ## Key Components
@@ -25,6 +27,7 @@ flowchart TD
 4. **SettingsWindow**: Provides user interface for configuration
 5. **ProgressWindow**: Shows recording and transcription status
 6. **GlobalShortcuts**: Manages keyboard shortcuts for controlling the application
+7. **WhisperModelManager**: Manages Whisper model download, deletion, and activation
 
 ## Key Technical Decisions
 
@@ -34,6 +37,7 @@ flowchart TD
 4. **Local Processing**: All audio processing and transcription happens locally for privacy
 5. **User Directory Installation**: Application installs to user's home directory for easier management
 6. **Modular Design**: Components are separated for easier maintenance and extension
+7. **Table-based Model Management**: Provides a comprehensive interface for managing Whisper models
 
 ## Design Patterns in Use
 
@@ -42,6 +46,7 @@ flowchart TD
 3. **Factory Pattern**: Audio and transcription components are created and managed by the main application
 4. **Command Pattern**: Actions in the UI trigger specific commands in the backend
 5. **State Pattern**: Application manages different states (idle, recording, processing)
+6. **Thread Pattern**: Long-running operations like model downloads run in separate threads to keep the UI responsive
 
 ## Component Relationships
 
@@ -70,6 +75,21 @@ sequenceDiagram
     WT->>TR: transcription_finished(text)
 ```
 
+### SettingsWindow and WhisperModelTable
+
+```mermaid
+sequenceDiagram
+    participant SW as SettingsWindow
+    participant WMT as WhisperModelTable
+    participant S as Settings
+    
+    SW->>WMT: create()
+    WMT->>SW: model_activated(model_name)
+    SW->>S: set('model', model_name)
+    WMT->>WMT: download_model(model_name)
+    WMT->>WMT: delete_model(model_name)
+```
+
 ### User Interface Flow
 
 ```mermaid
@@ -84,16 +104,42 @@ flowchart TD
     H --> I[Show Notification]
 ```
 
+### Model Management Flow
+
+```mermaid
+flowchart TD
+    A[Settings Window] --> B[Model Table]
+    B -->|Click Download| C[Confirm Download]
+    C -->|Yes| D[Show Download Progress]
+    D --> E[Download Model]
+    E --> F[Update Model List]
+    B -->|Click Use Model| G[Set Active Model]
+    G --> H[Update Settings]
+    B -->|Click Delete| I[Confirm Delete]
+    I -->|Yes| J[Delete Model File]
+    J --> K[Update Model List]
+```
+
 ## Error Handling Strategy
 
 1. **Graceful Degradation**: The application attempts to continue functioning even when parts fail
 2. **User Feedback**: Clear error messages are shown to the user
 3. **Logging**: Comprehensive logging for debugging
 4. **Recovery Mechanisms**: Attempt to recover from errors when possible
+5. **Thread Safety**: Ensure thread-safe operations for model downloads and other background tasks
 
 ## Ubuntu KDE Optimization Patterns
 
 1. **Path Flexibility**: Support for alternative library paths common in Ubuntu
 2. **Dependency Verification**: Check for required system dependencies before installation
 3. **Desktop Integration**: Proper integration with KDE's application menu and system tray
-4. **Error Suppression**: Handling of ALSA errors that are common in Ubuntu
+4. **Error Suppression**: Handling of ALSA errors that are common in Ubuntu
+
+## Whisper Model Management Patterns
+
+1. **Table-based UI**: Provides a clear overview of all available models
+2. **Visual Status Indicators**: Shows which models are downloaded and which is active
+3. **Background Downloads**: Model downloads run in separate threads to keep the UI responsive
+4. **Progress Simulation**: Simulates download progress since the Whisper API doesn't provide direct progress tracking
+5. **File System Integration**: Directly manages model files in the Whisper cache directory
+6. **User Confirmation**: Requires confirmation before downloading or deleting models

Diff for: docs/techContext.md

@@ -79,6 +79,12 @@ openai-whisper (from PyPI)
 6. **Desktop Environment**: Optimized for KDE Plasma
    - May work in other environments but with limited integration
 
+7. **Whisper API Limitations**: The Whisper API has certain limitations
+   - No direct method to check which models are downloaded without loading them
+   - No direct method to get download progress
+   - No direct method to delete models
+   - Workarounds implemented in the WhisperModelManager class
+
 ## Dependencies
 
 ### Direct Dependencies
@@ -136,4 +142,49 @@ openai-whisper (from PyPI)
 1. **Recommended IDE**: Visual Studio Code with Python extension
 2. **Debugging**: PyQt debugger or standard Python debugger
 3. **Testing**: Manual testing of recording and transcription
-4. **Version Control**: Git with GitHub for collaboration
+4. **Version Control**: Git with GitHub for collaboration
+
+## Whisper Model Management
+
+### Model Storage
+
+1. **Location**: Models are stored in `~/.cache/whisper/` directory
+2. **Format**: Models are stored as `.pt` files (PyTorch format)
+3. **Naming**: Models are named according to their size (e.g., `tiny.pt`, `base.pt`, etc.)
+
+### Model Information
+
+1. **Available Models**:
+   - tiny: ~150MB, very fast but basic accuracy
+   - base: ~300MB, fast with good accuracy
+   - small: ~500MB, medium speed with very good accuracy
+   - medium: ~1.5GB, slow with excellent accuracy
+   - large: ~3GB, very slow with superior accuracy
+
+2. **Model Detection**:
+   - The application scans the Whisper cache directory to detect downloaded models
+   - It checks for the existence of model files with the exact name pattern
+
+3. **Model Download**:
+   - Downloads are handled by the Whisper API's `load_model()` function
+   - The application simulates download progress since the API doesn't provide direct progress tracking
+   - Downloads run in a separate thread to keep the UI responsive
+
+4. **Model Deletion**:
+   - The application directly deletes model files from the cache directory
+   - It prevents deletion of the currently active model
+
+### UI Components
+
+1. **WhisperModelTable**: A custom widget that displays and manages Whisper models
+   - Shows model name, status (downloaded/not downloaded), and size
+   - Provides buttons to download, delete, or set a model as active
+   - Highlights the currently active model
+
+2. **ModelDownloadDialog**: A dialog that shows download progress
+   - Displays a progress bar, status text, and estimated time remaining
+   - Updates smoothly using a timer to simulate download progress
+
+3. **ModelDownloadThread**: A thread that handles model downloads
+   - Runs the download operation in the background
+   - Emits signals to update the UI with progress information

Diff for: install.py

@@ -114,8 +114,7 @@ def install_with_pipx(skip_whisper=False):
             universal_newlines=True
         )
 
-        # Process output line by line
-        print("  Verbose installation progress:")
+        print("  Installation progress:")
         current_package = None
         pip_install_started = False