chk
/
whisper-dictation
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

fix linux version

This commit is contained in:
Christian Kauer 2026-03-22 11:01:14 +01:00
parent 11fd47946d
commit 5aaf8b59ce
12 changed files with 268 additions and 37 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
.claude/settings.local.json
View File

@ -36,7 +36,34 @@
"Bash(bash build-linux.sh)",
"Bash(.venv-linux/bin/python -c \"import tkinter; print\\(''tkinter OK''\\)\")",
"Bash(pacman -Q tk)",
"Bash(sudo pacman:*)"
"Bash(sudo pacman:*)",
"Bash(grep -r \"WHISPER_DATA_DIR\\\\|WHISPER_LOCAL_DIR\" /run/media/chk/Ventoy/projects/chrka/whisper-dictation --include=*.py)",
"Bash(grep -l \"config.load_config\\\\|config.load_vocab\" /run/media/chk/Ventoy/projects/chrka/whisper-dictation/whisper_app/*.py)",
"Bash(.venv-linux/bin/python -m pytest tests/ -v)",
"Bash(.venv-linux/bin/python -m unittest discover -s tests -v)",
"Bash(head -5 tests/*.py)",
"Bash(.venv-linux/bin/pip install:*)",
"Bash(./whisper-dictation)",
"Bash(pacman -Ss appindicator)",
"Bash(pacman -Q libayatana-appindicator)",
"Bash(echo \"$XDG_SESSION_TYPE\")",
"Bash(echo \"Session: $XDG_SESSION_TYPE\")",
"Bash(mount)",
"Bash(desktop-file-validate ~/.local/share/applications/whisper-dictation.desktop)",
"Bash(update-desktop-database ~/.local/share/applications/)",
"Bash(echo \"DISPLAY=$DISPLAY\")",
"Bash(xlsclients)",
"Bash(DISPLAY=:0 xdpyinfo)",
"Bash(pkill -f \"whisper-dictation.*resource_tracker\")",
"Bash(pkill -f \"dist/whisper-dictation-linux/whisper-dictation\")",
"Bash(pkill -9 -f whisper-dictation)",
"Bash(pkill -f whisper-dictation)",
"Bash(gtk-launch whisper-dictation:*)",
"Bash(pkill -9 -f resource_tracker)",
"Bash(echo \"Desktop: $XDG_CURRENT_DESKTOP\")",
"Bash(nvidia-smi)",
"Bash(lspci)",
"Bash(pacman -Q)"
]
}
}

1
.gitignore vendored
View File

@ -9,6 +9,7 @@ models/
*.log
build/
dist/
shared_data/models--Systran--faster-whisper-medium/
icon.ico
.claude/settings.local.json
.superpowers/

85
README.md
View File

@ -6,9 +6,10 @@ Local GPU speech-to-text dictation tool. Hold a hotkey to record, release to tra
- System tray icon with settings GUI (tkinter)
- Configurable hotkey, model, language, audio device
- Cross-platform: Windows and Linux builds from a single codebase
- Shared config via git (`config.json`, `vocabulary.json`)
- Machine-specific settings stored locally (audio device, GPU settings)
- Windows: GPU acceleration via CUDA; Linux: CPU
- Machine-specific settings stored locally (audio device, GPU settings, model)
- Configurable shared paths for vocabulary and model cache (useful for dual-boot setups)
## Requirements
@ -20,8 +21,38 @@ Local GPU speech-to-text dictation tool. Hold a hotkey to record, release to tra
- `pyinstaller` (for building a standalone executable)
### Linux
**System packages (install via package manager):**
Arch/CachyOS:
```bash
sudo pacman -S tk libayatana-appindicator wl-clipboard xdotool
```
Debian/Ubuntu:
```bash
sudo apt install python3-tk libayatana-appindicator3-1 wl-clipboard xdotool
```
| Package | Purpose |
|---------|---------|
| `tk` | tkinter GUI (settings, log, vocabulary windows) |
| `libayatana-appindicator` | System tray icon (required for KDE/GNOME on Wayland) |
| `wl-clipboard` | Text injection on Wayland (`wl-copy`) |
| `xdotool` | Simulates Ctrl+V paste on Wayland, text typing on X11 |
**Optional (for GPU acceleration):**
Arch/CachyOS:
```bash
sudo pacman -S nvidia cuda
```
Without CUDA, the app runs on CPU. Use `int8` compute type and a smaller model (`small` or `base`) for acceptable speed on CPU.
**Python:**
- Python 3.10+
- PortAudio: `sudo apt install portaudio19-dev`
- PortAudio (bundled with `sounddevice` wheels)
## Installation
@ -36,11 +67,11 @@ This creates a `.venv-windows` virtual environment, installs all dependencies an
### Linux
```bash
chmod +x install.sh start.sh
chmod +x install.sh start.sh build-linux.sh
./install.sh
```
Creates a `.venv-linux` virtual environment. GPU support on Linux requires a manually installed CUDA environment; by default runs on CPU.
Creates a `.venv-linux` virtual environment with all dependencies and PyInstaller.
## Usage
@ -58,33 +89,63 @@ The app starts in the system tray. Hold the hotkey (default: `Ctrl+Shift+Space`)
## Build
To produce a standalone Windows executable:
Builds are platform-specific and output to separate directories:
- Windows: `dist/whisper-dictation-windows/`
- Linux: `dist/whisper-dictation-linux/`
### Windows
```bat
.venv-windows\Scripts\python.exe build.py
```
This uses PyInstaller to bundle the app and all dependencies into a single folder under `dist/`. The resulting executable can be run without a Python installation.
### Linux
```bash
./build-linux.sh
```
Both use PyInstaller to bundle the app into a standalone folder. The resulting executable can be run without a Python installation.
## Configuration
`config.json` (shared, stored in the repo):
### Shared config (`config.json`, in app directory)
| Key | Default | Description |
|-----|---------|-------------|
| `hotkey` | `ctrl+shift+space` | Recording trigger |
| `model` | `medium` | Whisper model size (`tiny`, `base`, `small`, `medium`, `large-v2`, `large-v3`) |
| `language` | `de` | Transcription language (`de`, `en`, `fr`, `es`, `it`, `null` = auto) |
| `sample_rate` | `16000` | Audio sample rate in Hz |
| `vocab_path` | `""` | Path to vocabulary file (empty = local `vocabulary.json`) |
| `model_dir` | `""` | Path to shared model cache directory (empty = default HuggingFace cache) |
Machine-specific settings (GPU device, compute type, audio device) are stored separately and not tracked by git:
### Local config (`config_local.json`, per machine)
Stored outside the app directory to keep machine-specific settings separate:
- **Windows:** `%LOCALAPPDATA%\WhisperDictation\config_local.json`
- **Linux:** `~/.local/share/WhisperDictation/config_local.json`
| Key | Default | Description |
|-----|---------|-------------|
| `model` | `medium` | Whisper model size (`tiny`, `base`, `small`, `medium`, `large-v2`, `large-v3`) |
| `device` | `cuda` | Inference device (`cuda` or `cpu`) |
| `compute_type` | `float16` | Precision (`float16` for GPU, `int8` for CPU, `float32`) |
| `audio_device` | `null` | Microphone (null = system default) |
### Sharing data between Windows and Linux
On a shared drive (e.g. Ventoy USB), both builds can use the same vocabulary and model files. Set `vocab_path` and `model_dir` in the Settings UI to point to a common directory:
```
shared_data/
vocabulary.json <- shared vocabulary
models/ <- shared Whisper model cache
```
Audio settings, model selection, and compute type remain per-platform in `config_local.json`.
## Vocabulary
Custom vocabulary/replacements can be added to `vocabulary.json`. These are passed as initial prompts to improve recognition of domain-specific terms.
Custom vocabulary/replacements can be edited via the Settings UI or directly in `vocabulary.json`. Words are passed as initial prompts to improve recognition of domain-specific terms. Replacements are applied as find/replace after transcription.
## Model Download
On first start the selected Whisper model is downloaded automatically from HuggingFace (~500 MB for `medium`). Subsequent starts use the cached model.
On first start the selected Whisper model is downloaded automatically from HuggingFace (~500 MB for `medium`). Subsequent starts use the cached model. Set `model_dir` to share the cache between builds.

5
config.json
View File

@ -1,6 +1,7 @@
{
"hotkey": "ctrl+shift+space",
"model": "medium",
"language": "de",
"sample_rate": 16000
"sample_rate": 16000,
"vocab_path": "/run/media/chk/Ventoy/projects/chrka/whisper-dictation/shared_data/vocabulary.json",
"model_dir": "/run/media/chk/Ventoy/projects/chrka/whisper-dictation/shared_data/"
}

2
main.py
View File

@ -103,4 +103,6 @@ def _quit(stream, icon):
app.overlay_tk.after(0, app.overlay_tk.quit)
if __name__ == "__main__":
import multiprocessing
multiprocessing.freeze_support()
main()

2
shared_data/.directory Normal file
View File

@ -0,0 +1,2 @@
[Desktop Entry]
Icon=folder-yellow

63
shared_data/vocabulary.json Normal file
View File

@ -0,0 +1,63 @@
{
"words": [
"test"
],
"replacements": [
{
"from": "KRA",
"to": "KRAH"
},
{
"from": "Atos",
"to": "ATHOS"
},
{
"from": "Resistec",
"to": "RESISTEC"
},
{
"from": "Resistek",
"to": "RESISTEC"
},
{
"from": "HES",
"to": "HEES"
},
{
"from": "Ackerschot",
"to": "Ackerschott"
},
{
"from": "Carrois",
"to": "Kauer"
},
{
"from": "Jouer fixe",
"to": "Jour-Fixe"
},
{
"from": "Docuware",
"to": "DocuWare"
},
{
"from": "Nates",
"to": "Nejc"
},
{
"from": "Bittzeit",
"to": "BitSight"
},
{
"from": "Kalmikow",
"to": "Kalmykov"
},
{
"from": "Leifert",
"to": "Leifer"
},
{
"from": "Kiyosa",
"to": "Key-User"
}
]
}

16
whisper_app/config.py
View File

@ -33,6 +33,8 @@ DEFAULT_CONFIG = {
"language": "de",
"audio_device": None,
"sample_rate": 16000,
"vocab_path": "",
"model_dir": "",
}
MODELS = ["tiny", "base", "small", "medium", "large-v2", "large-v3"]
@ -40,12 +42,22 @@ LANGUAGES = {"Deutsch": "de", "English": "en", "Français": "fr", "Español": "e
"Italiano": "it", "Auto": None}
DEVICES = ["cuda", "cpu"]
COMPUTE_TYPES = {"float16 (GPU)": "float16", "int8 (CPU/GPU)": "int8", "float32": "float32"}
LOCAL_KEYS = {"audio_device", "device", "compute_type"}
LOCAL_KEYS = {"audio_device", "device", "compute_type", "model"}
config: dict = {}
vocab: dict = {"words": [], "replacements": []}
def _resolve_vocab_file() -> None:
"""Set VOCAB_FILE from config['vocab_path'], falling back to DATA_DIR."""
global VOCAB_FILE
vp = config.get("vocab_path", "")
if vp:
VOCAB_FILE = vp if os.path.isabs(vp) else os.path.join(DATA_DIR, vp)
else:
VOCAB_FILE = os.path.join(DATA_DIR, "vocabulary.json")
def load_config() -> None:
global config
os.makedirs(_local_dir, exist_ok=True)
@ -63,6 +75,7 @@ def load_config() -> None:
config.update(json.load(f))
except json.JSONDecodeError:
print(f"Warning: could not parse {CONFIG_LOCAL_FILE}; ignoring")
_resolve_vocab_file()
def save_config() -> None:
@ -74,6 +87,7 @@ def save_config() -> None:
json.dump(shared, f, indent=2)
with open(CONFIG_LOCAL_FILE, "w", encoding="utf-8") as f:
json.dump(local, f, indent=2)
_resolve_vocab_file()
def load_vocab() -> None:

27
whisper_app/hotkey.py
View File

@ -1,29 +1,42 @@
from pynput.keyboard import Controller as KeyboardController, Listener as KeyboardListener, Key, KeyCode
_pynput_loaded = False
Key = KeyCode = KeyboardListener = None
_MODIFIER_MAP = {
def _ensure_pynput():
global _pynput_loaded, Key, KeyCode, KeyboardListener, _MODIFIER_MAP, _KEY_MAP
if _pynput_loaded:
return
from pynput.keyboard import Listener as _Listener, Key as _Key, KeyCode as _KeyCode
Key = _Key
KeyCode = _KeyCode
KeyboardListener = _Listener
_MODIFIER_MAP.update({
"ctrl": {Key.ctrl_l, Key.ctrl_r},
"ctrl_l": {Key.ctrl_l}, "ctrl_r": {Key.ctrl_r},
"shift": {Key.shift_l, Key.shift_r},
"shift_l": {Key.shift_l}, "shift_r": {Key.shift_r},
"alt": {Key.alt_l, Key.alt_r},
"alt_l": {Key.alt_l}, "alt_r": {Key.alt_r},
}
_KEY_MAP = {
})
_KEY_MAP.update({
"space": Key.space, "tab": Key.tab, "enter": Key.enter,
"esc": Key.esc, "escape": Key.esc,
"up": Key.up, "down": Key.down, "left": Key.left, "right": Key.right,
"home": Key.home, "end": Key.end, "page_up": Key.page_up, "page_down": Key.page_down,
"insert": Key.insert, "delete": Key.delete, "backspace": Key.backspace,
}
for i in range(1, 13):
})
for i in range(1, 13):
_KEY_MAP[f"f{i}"] = getattr(Key, f"f{i}")
_pynput_loaded = True
_MODIFIER_MAP = {}
_KEY_MAP = {}
def _parse_hotkey(hotkey_str):
"""Parse hotkey string into (modifier_sets, trigger_key).
Returns: (list of sets-of-pynput-keys for each modifier, pynput key for trigger)
"""
_ensure_pynput()
parts = [p.strip().lower() for p in hotkey_str.split("+")]
modifiers = []
for p in parts[:-1]:

42
whisper_app/settings_window.py
View File

@ -1,6 +1,7 @@
import os
import threading
import tkinter as tk
from tkinter import filedialog
from whisper_app import config as cfg
@ -177,6 +178,45 @@ def _open_main(root: tk.Tk, on_reload) -> None:
relief="flat", bd=6,
highlightbackground=BORDER, highlightthickness=1).pack(side="left")
# ── PFADE ──
section("PFADE")
vocab_path_var = tk.StringVar(value=cfg.config.get("vocab_path", ""))
f_vp = row("Vocabulary-Datei", hint="leer = lokal im App-Ordner")
vp_entry = tk.Entry(f_vp, textvariable=vocab_path_var, font=FONT, width=30,
bg=BG3, fg=FG, insertbackground=AMBER,
relief="flat", bd=6,
highlightbackground=BORDER, highlightthickness=1)
vp_entry.pack(side="left")
def browse_vocab():
path = filedialog.askopenfilename(
parent=win, title="Vocabulary-Datei wählen",
filetypes=[("JSON", "*.json"), ("Alle", "*.*")])
if path:
vocab_path_var.set(path)
tk.Button(f_vp, text="...", command=browse_vocab,
bg=BG3, fg=FG, font=FONT_S, relief="flat",
padx=8, pady=3, cursor="hand2", bd=0).pack(side="left", padx=(6, 0))
model_dir_var = tk.StringVar(value=cfg.config.get("model_dir", ""))
f_md = row("Modell-Verzeichnis", hint="leer = Standard-Cache")
md_entry = tk.Entry(f_md, textvariable=model_dir_var, font=FONT, width=30,
bg=BG3, fg=FG, insertbackground=AMBER,
relief="flat", bd=6,
highlightbackground=BORDER, highlightthickness=1)
md_entry.pack(side="left")
def browse_model_dir():
path = filedialog.askdirectory(parent=win, title="Modell-Verzeichnis wählen")
if path:
model_dir_var.set(path)
tk.Button(f_md, text="...", command=browse_model_dir,
bg=BG3, fg=FG, font=FONT_S, relief="flat",
padx=8, pady=3, cursor="hand2", bd=0).pack(side="left", padx=(6, 0))
# ── Buttons ──
tk.Frame(win, bg=BORDER, height=1).pack(fill="x")
btn_bar = tk.Frame(win, bg=BG2, pady=16, padx=32)
@ -190,6 +230,8 @@ def _open_main(root: tk.Tk, on_reload) -> None:
cfg.config["device"] = device_var.get()
cfg.config["compute_type"] = cfg.COMPUTE_TYPES[ct_var.get()]
cfg.config["hotkey"] = hotkey_var.get()
cfg.config["vocab_path"] = vocab_path_var.get()
cfg.config["model_dir"] = model_dir_var.get()
cfg.save_config()
win.destroy()
threading.Thread(target=on_reload, daemon=True).start()

2
whisper_app/transcriber.py
View File

@ -8,10 +8,12 @@ from whisper_app import app, config, typer
def load_model() -> None:
app.log(f"Loading {config.config['model']} on {config.config['device']}...")
model_dir = config.config.get("model_dir") or None
app.model = WhisperModel(
config.config["model"],
device=config.config["device"],
compute_type=config.config["compute_type"],
download_root=model_dir,
)
app.log("Model ready.")

9
whisper_app/typer.py
View File

@ -3,13 +3,16 @@ import shutil
import subprocess
import time
from pynput.keyboard import Controller as KeyboardController
def _pynput_type(text):
from pynput.keyboard import Controller as KeyboardController
KeyboardController().type(text)
def type_text(text):
"""Type text into the active window, cross-platform."""
if os.name == "nt":
KeyboardController().type(text)
_pynput_type(text)
return
session = os.environ.get("XDG_SESSION_TYPE", "")
if session == "wayland" and shutil.which("wl-copy"):
@ -19,4 +22,4 @@ def type_text(text):
elif shutil.which("xdotool"):
subprocess.run(["xdotool", "type", "--clearmodifiers", "--", text], check=False)
else:
KeyboardController().type(text)
_pynput_type(text)