test

STT_STATUSBAR_USAGE.md

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+# STT Status Bar App Usage
+
+## Overview
+
+The STT (Speech-to-Text) status bar app provides a convenient macOS menu bar interface for controlling speech-to-text functionality using wake word activation.
+
+## Features
+
+- **Start/Stop/Pause/Resume**: Full control over STT recording
+- **Status Indicators**: Visual status in menu bar (🎙️🔴 recording, 🎙️⏸️ paused, 🎙️⚫ stopped)
+- **Configurable Settings**: Change wake words and models on the fly
+- **File Output**: Save transcriptions to a file
+- **Notifications**: Real-time notifications for transcriptions and status changes
+
+## Usage
+
+### Starting the Status Bar App
+
+```bash
+# Launch the status bar app
+tooling stt statusbar
+
+# Or using the full CLI path
+python -m tooling.cli stt statusbar
+```
+
+### Menu Options
+
+#### Main Controls
+- **Start STT**: Begin speech-to-text with current settings
+- **Stop STT**: Stop speech-to-text completely  
+- **Pause**: Temporarily pause recognition (keeps recorder alive)
+- **Resume**: Resume recognition from pause
+
+#### Settings
+- **Wake Word**: Choose from predefined options:
+  - jarvis (default)
+  - alexa
+  - hey google
+  - hey siri
+  - computer
+  
+- **Model**: Select Whisper model:
+  - tiny (fastest, least accurate)
+  - base (default, good balance)
+  - small (more accurate)
+  - medium (most accurate, slower)
+
+#### File Management
+- **Show Recent Transcriptions**: Display last 10 transcription entries
+- **Save to File...**: Set output file for saving transcriptions
+
+### Status Indicators
+
+| Icon | Status | Description |
+|------|--------|-------------|
+| 🎙️⚫ | Stopped | STT is not running |
+| 🎙️🔴 | Recording | STT is active and listening |
+| 🎙️⏸️ | Paused | STT is paused but can be resumed |
+
+### Workflow Example
+
+1. **Launch the app**: `tooling stt statusbar`
+2. **Look for the 🎙️ icon** in your macOS menu bar
+3. **Click the icon** to open the menu
+4. **Set your preferences**:
+   - Choose wake word from Settings > Wake Word
+   - Select model from Settings > Model
+   - Optionally set output file with "Save to File..."
+5. **Click "Start STT"** to begin
+6. **Say your wake word** (e.g., "jarvis") to trigger recording
+7. **Speak clearly** after the wake word is detected
+8. **Get notifications** with your transcribed text
+9. **Use Pause/Resume** as needed
+10. **Click "Stop STT"** when done
+
+### Notifications
+
+The app provides notifications for:
+- STT started/stopped/paused/resumed
+- Transcribed speech (shows first 100 characters)
+- Settings changes (when STT is running)
+- File operations
+
+### File Output
+
+When you set an output file:
+- Transcriptions are saved with timestamps
+- Sessions are marked with start/end timestamps
+- File is automatically created in ~/Documents/ by default
+- Each transcription includes: `[HH:MM:SS] transcribed text`
+
+### Requirements
+
+- macOS (rumps requires macOS and PyObjC)
+- RealtimeSTT library
+- Working microphone
+- Python 3.11+
+
+### Troubleshooting
+
+- **No menu bar icon**: Make sure you're running on macOS and rumps is installed
+- **No transcriptions**: Check microphone permissions and try speaking louder
+- **Wake word not detected**: Try adjusting sensitivity or use a different wake word
+- **High CPU usage**: Consider using the "tiny" model for better performance
+
+### Advanced Configuration
+
+The status bar app uses sensible defaults, but you can modify the underlying configuration by editing the STTStatusBarApp class in `src/tooling/stt_cli.py`.
+
+Default settings:
+- Wake word: "jarvis"
+- Model: "base"
+- Sensitivity: 0.6
+- Device: auto-detect (CUDA if available, otherwise CPU)
+- Realtime display: enabled 

realtimesst.log

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+2025-07-22 22:10:54.507 - RealTimeSTT: realtimestt - INFO - Starting RealTimeSTT
+2025-07-22 22:10:54.520 - RealTimeSTT: realtimestt - INFO - Initializing audio recording (creating pyAudio input stream, sample rate: 16000 buffer size: 512
+2025-07-22 22:10:54.523 - RealTimeSTT: realtimestt - INFO - Initializing faster_whisper realtime transcription model tiny, default device: cpu, compute type: default, device index: 0, download root: None
+2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - DEBUG - Faster_whisper realtime speech to text transcription model initialized successfully
+2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - ERROR - Wakeword engine  unknown/unsupported or wake_words not specified. Please specify one of: pvporcupine, openwakeword.
+NoneType: None
+2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - INFO - Initializing WebRTC voice with Sensitivity 3
+2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - DEBUG - WebRTC VAD voice activity detection engine initialized successfully
+2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Silero VAD voice activity detection engine initialized successfully
+2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Starting realtime worker
+2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Waiting for main transcription model to start
+2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - DEBUG - Main transcription model ready
+2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - DEBUG - RealtimeSTT initialization completed successfully
+2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - INFO - Setting listen time
+2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - INFO - State changed from 'inactive' to 'listening'
+2025-07-22 22:11:01.947 - RealTimeSTT: realtimestt - DEBUG - Waiting for recording start
+2025-07-22 22:11:01.981 - RealTimeSTT: realtimestt - INFO - State changed from 'listening' to 'wakeword'