Pull request for issue #224

README.md

@@ -22,13 +22,13 @@ This copies the hooks from `.githooks/` into `.git/hooks/` and makes them execut
 Minimal root README. Full developer & architecture guide: see [`CLAUDE.md`](CLAUDE.md).
 
 ## Overview
-ColdVox is a modular Rust workspace providing real‑time audio capture, VAD, STT (Faster-Whisper), and cross‑platform text injection.
+ColdVox is a modular Rust workspace providing real‑time audio capture, VAD, STT (Candle Whisper), and cross‑platform text injection.
 
 ## Quick Start
 
 **For Voice Dictation (Recommended):**
 ```bash
-# Run with default Faster-Whisper STT and text injection (model auto-discovered)
+# Run with default Candle Whisper STT and text injection (model auto-discovered)
 cargo run --features text-injection
 
 # With specific microphone device
@@ -49,15 +49,12 @@ cargo run --bin mic_probe -- list-devices
 
 > Audio dumps: The TUI dashboard now records raw audio to `logs/audio_dumps/` by default. Pass `--dump-audio=false` to disable persistent capture.
 
-**Note on Defaults**: Faster-Whisper STT is the default feature (enabled automatically), ensuring real speech recognition in the app and tests. This prevents fallback to the mock plugin, which skips transcription. Override with `--stt-preferred mock` or env `COLDVOX_STT_PREFERRED=mock` if needed for testing. For other STT backends, enable their features and set preferred accordingly.
-
 ### Configuration (Canonical Path)
 - Canonical STT selection config lives at `config/plugins.json`.
 - Any legacy duplicates like `./plugins.json` or `crates/app/plugins.json` are deprecated and ignored at runtime. A warning is logged on startup if they exist. Please migrate changes into `config/plugins.json` only.
 - Some defaults can also be set in `config/default.toml`, but `config/plugins.json` is the source of truth for STT plugin selection.
 
 ### Whisper Model Setup
-- **Python Package**: Install the `faster-whisper` Python package via pip
 - **Models**: Whisper models are automatically downloaded on first use
 - **Model Identifiers**: Use standard Whisper model names (e.g., "tiny.en", "base.en", "small.en", "medium.en")
 - **Manual Path**: Set `WHISPER_MODEL_PATH` to specify a model identifier or custom model directory
@@ -74,19 +71,6 @@ cargo run --bin mic_probe -- list-devices
 
 More detail: See [`CLAUDE.md`](CLAUDE.md) for full developer guide.
 
-### Python 3.13 and PyO3
-If your system default Python is 3.13, current `pyo3` versions may warn about unsupported Python version during build. Two options:
-
-1) Prefer Python 3.12 for development tools, or
-2) Build using the stable Python ABI by exporting:
-
-```bash
-set -gx PYO3_USE_ABI3_FORWARD_COMPATIBILITY 1  # fish shell
-cargo check
-```
-
-We plan to upgrade `pyo3` in a follow-up to remove this requirement.
-
 ### Future Vision (Experimental)
 - We're actively exploring an **always-on intelligent listening** architecture that keeps a lightweight listener running continuously and spins up tiered STT engines on demand.
 - This speculative work includes decoupled listening/processing threads, dynamic STT memory management, and context-aware activation.

crates/coldvox-stt/src/plugins/whisper_plugin.rs

@@ -246,8 +246,8 @@ impl SttPlugin for WhisperPlugin {
     fn info(&self) -> PluginInfo {
         PluginInfo {
             id: "whisper".to_string(),
-            name: "Faster Whisper".to_string(),
-            description: "Local transcription via faster-whisper".to_string(),
+            name: "Candle Whisper".to_string(),
+            description: "Local transcription via Candle Whisper".to_string(),
             requires_network: false,
             is_local: true,
             is_available: check_whisper_available(),
@@ -722,7 +722,7 @@ impl SttPluginFactory for WhisperPluginFactory {
         if !check_whisper_available() {
             return Err(SttError::NotAvailable {
                 plugin: "whisper".to_string(),
-                reason: "The faster-whisper Python module is not available. Install the `faster-whisper` package.".to_string(),
+                reason: "The Candle Whisper implementation is not available.".to_string(),
             }
             .into());
         }