From 4d10653790080d2d773bf26b9e2645906f106747 Mon Sep 17 00:00:00 2001 From: Felix Martin Date: Sat, 30 May 2026 23:30:37 -0400 Subject: [PATCH] Initial commit Toggle voice-to-text tool with Linux and Windows support. Co-Authored-By: Claude Opus 4.8 --- .gitignore | 11 + blurt | 86 ++++++ blurt-toggle | 2 + blurt.py | 661 +++++++++++++++++++++++++++++++++++++++++ blurt.vbs | 3 + pyproject.toml | 24 ++ uv.lock | 791 +++++++++++++++++++++++++++++++++++++++++++++++++ 7 files changed, 1578 insertions(+) create mode 100644 .gitignore create mode 100644 blurt create mode 100755 blurt-toggle create mode 100644 blurt.py create mode 100755 blurt.vbs create mode 100644 pyproject.toml create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..2a11451 --- /dev/null +++ b/.gitignore @@ -0,0 +1,11 @@ +# Python +__pycache__/ +*.py[cod] + +# Virtual environment +.venv/ + +# Blurt runtime config / secrets (written by blurt.py at runtime) +api_key.txt +model.txt +language.txt diff --git a/blurt b/blurt new file mode 100644 index 0000000..b463fe4 --- /dev/null +++ b/blurt @@ -0,0 +1,86 @@ +#!/bin/bash + +set -euo pipefail + +PID_FILE="/tmp/blurt.pid" +AUDIO_FILE="/tmp/blurt.wav" +API_URL="https://api.openai.com/v1/audio/transcriptions" + +notify() { + notify-send "blurt" "$1" +} + +get_api_key() { + keyring get openai-api-key felixm 2>/dev/null || { + notify "Error: Could not get API key from keyring" + exit 1 + } +} + +start_recording() { + notify "Recording..." + pw-record --format=s16 --rate=16000 --channels=1 "$AUDIO_FILE" & + echo $! > "$PID_FILE" +} + +stop_recording() { + local pid="$1" + kill -INT "$pid" 2>/dev/null || true + wait "$pid" 2>/dev/null || true + rm -f "$PID_FILE" +} + +transcribe() { + notify "Transcribing..." + + local api_key + api_key=$(get_api_key) + + local response + response=$(curl -s -X POST "$API_URL" \ + -H "Authorization: Bearer $api_key" \ + -F "file=@$AUDIO_FILE" \ + -F "model=whisper-1") + + local text + text=$(echo "$response" | jq -r '.text // empty') + + if [[ -z "$text" ]]; then + local error + error=$(echo "$response" | jq -r '.error.message // "Unknown error"') + notify "Error: $error" + exit 1 + fi + + echo -n "$text" | xclip -selection clipboard + + # If active window is kitty, insert text directly + local window_class + window_class=$(xdotool getactivewindow getwindowclassname 2>/dev/null || echo "") + if [[ "$window_class" == *"kitty"* ]]; then + xdotool type --clearmodifiers -- "$text" + fi + + local preview="${text:0:50}" + [[ ${#text} -gt 50 ]] && preview="${preview}..." + notify "Copied: $preview" +} + +main() { + if [[ -f "$PID_FILE" ]]; then + local pid + pid=$(cat "$PID_FILE") + + if kill -0 "$pid" 2>/dev/null; then + stop_recording "$pid" + transcribe + else + rm -f "$PID_FILE" + start_recording + fi + else + start_recording + fi +} + +main diff --git a/blurt-toggle b/blurt-toggle new file mode 100755 index 0000000..d8e160d --- /dev/null +++ b/blurt-toggle @@ -0,0 +1,2 @@ +#!/bin/sh +cd /home/felixm/wrk/blurt && uv run blurt toggle diff --git a/blurt.py b/blurt.py new file mode 100644 index 0000000..b7d9d56 --- /dev/null +++ b/blurt.py @@ -0,0 +1,661 @@ +import logging +import os +import shlex +import signal +import subprocess +import sys +import tempfile +import threading +from dataclasses import dataclass +from logging.handlers import RotatingFileHandler +from pathlib import Path +from typing import Callable + +import numpy as np +import keyring +import pyperclip +import pystray +import requests +import sounddevice as sd +from PIL import Image, ImageDraw +from scipy.io import wavfile + +OPENAI_TRANSCRIPTIONS_URL = "https://api.openai.com/v1/audio/transcriptions" +DEFAULT_TRANSCRIPTION_MODEL = "whisper-1" +DEFAULT_TRANSCRIPTION_LANGUAGE = "en" +TRANSCRIPTION_MODELS = [ + ("whisper-1", "OpenAI: whisper-1"), + ("gpt-4o-mini-transcribe", "OpenAI: gpt-4o-mini-transcribe"), + ("gpt-4o-transcribe", "OpenAI: gpt-4o-transcribe"), +] +TRANSCRIPTION_LANGUAGES = [ + ("en", "English"), + ("de", "German"), +] +SAMPLE_RATE = 16000 +CHANNELS = 1 +DTYPE = "int16" +APP_NAME = "Blurt" +APP_DIR = Path(__file__).resolve().parent +AGENT_PREFIX = "to my agent" +PID_FILE = Path(tempfile.gettempdir()) / "blurt.pid" +LOG_FILE = Path(tempfile.gettempdir()) / "blurt.log" +KEYRING_CREDENTIALS = [ + ("openai-api-key", "felixm"), + ("blurt", "openai-api-key"), +] + + +def setup_logging(): + logger = logging.getLogger() + if logger.handlers: + return + + logger.setLevel(logging.INFO) + handler = RotatingFileHandler( + LOG_FILE, + maxBytes=512 * 1024, + backupCount=3, + encoding="utf-8", + ) + handler.setFormatter( + logging.Formatter("%(asctime)s %(levelname)s [%(threadName)s] %(message)s") + ) + logger.addHandler(handler) + + def log_thread_exception(args): + logging.critical( + "Uncaught thread exception in %s", + args.thread.name if args.thread else "", + exc_info=(args.exc_type, args.exc_value, args.exc_traceback), + ) + + threading.excepthook = log_thread_exception + + +def load_config_value(env_name: str, file_name: str, default: str = "") -> str: + env_value = os.environ.get(env_name, "").strip() + if env_value: + logging.info("Loaded %s from environment", env_name) + return env_value + + config_file = APP_DIR / file_name + try: + value = config_file.read_text().strip() + logging.info( + "Loaded %s from %s: %s", + env_name, + config_file, + "present" if value else "empty", + ) + return value + except FileNotFoundError: + if default: + logging.info("Config file not found, using default for %s: %s", env_name, default) + else: + logging.warning("Config file not found for %s: %s", env_name, config_file) + return default + + +def load_api_key() -> str: + env_key = os.environ.get("OPENAI_API_KEY", "").strip() + if env_key: + logging.info("Loaded OPENAI_API_KEY from environment") + return env_key + + for service_name, username in KEYRING_CREDENTIALS: + try: + stored_key = keyring.get_password(service_name, username) + except Exception: + logging.exception( + "Could not read OpenAI API key from keyring entry %s/%s", + service_name, + username, + ) + continue + if stored_key: + logging.info( + "Loaded OpenAI API key from keyring entry %s/%s", + service_name, + username, + ) + return stored_key.strip() + + return load_config_value("OPENAI_API_KEY", "api_key.txt") + + +def load_transcription_model() -> str: + model = load_config_value( + "BLURT_TRANSCRIPTION_MODEL", + "model.txt", + DEFAULT_TRANSCRIPTION_MODEL, + ) + valid_models = {model_id for model_id, _ in TRANSCRIPTION_MODELS} + if model not in valid_models: + logging.warning("Unknown transcription model %s, using %s", model, DEFAULT_TRANSCRIPTION_MODEL) + return DEFAULT_TRANSCRIPTION_MODEL + return model + + +def save_transcription_model(model: str): + model_file = APP_DIR / "model.txt" + model_file.write_text(f"{model}\n") + logging.info("Saved transcription model to %s: %s", model_file, model) + + +def load_transcription_language() -> str: + language = load_config_value( + "BLURT_TRANSCRIPTION_LANGUAGE", + "language.txt", + DEFAULT_TRANSCRIPTION_LANGUAGE, + ) + valid_languages = {language_id for language_id, _ in TRANSCRIPTION_LANGUAGES} + if language not in valid_languages: + logging.warning( + "Unknown transcription language %s, using %s", + language, + DEFAULT_TRANSCRIPTION_LANGUAGE, + ) + return DEFAULT_TRANSCRIPTION_LANGUAGE + return language + + +def save_transcription_language(language: str): + language_file = APP_DIR / "language.txt" + language_file.write_text(f"{language}\n") + logging.info("Saved transcription language to %s: %s", language_file, language) + + +def get_model_label(model: str) -> str: + for model_id, label in TRANSCRIPTION_MODELS: + if model_id == model: + return label + return model + + +def get_language_label(language: str) -> str: + for language_id, label in TRANSCRIPTION_LANGUAGES: + if language_id == language: + return label + return language + + +@dataclass +class Platform: + notify: Callable[[str, str], None] + dispatch: Callable[[str], None] + open_logs: Callable[[], None] + setup_toggle_trigger: Callable[["BlurtApp"], None] + cleanup_toggle_trigger: Callable[[], None] + + +def _make_windows_platform() -> Platform: + from pynput import keyboard + from winotify import Notification + + listener = None + + def notify(title: str, message: str): + try: + toast = Notification(app_id=APP_NAME, title=title, msg=message) + toast.show() + except Exception: + logging.exception("Windows notification failed") + + def dispatch(task: str): + wezterm = r"C:\Program Files\WezTerm\wezterm-gui.exe" + dispatch_sh = "/mnt/c/Users/felix.martin/AppData/Roaming/FlowLauncher/Plugins/Dispatch-1.0.0/dispatch.sh" + safe_query = shlex.quote(task) + cmd = [ + wezterm, + "-e", "wsl.exe", + "-d", "Ubuntu", + "-e", "zsh", + "-c", f"{dispatch_sh} {safe_query}", + ] + logging.info("Dispatching agent task with %d characters", len(task)) + subprocess.Popen(cmd, creationflags=subprocess.DETACHED_PROCESS) + + def open_logs(): + subprocess.Popen(["notepad.exe", str(LOG_FILE)]) + + def setup_toggle_trigger(app: "BlurtApp"): + nonlocal listener + + def on_press(key): + if key == keyboard.Key.f20: + app.toggle_recording() + + listener = keyboard.Listener(on_press=on_press) + listener.start() + logging.info("Started Windows F20 hotkey listener") + + def cleanup_toggle_trigger(): + nonlocal listener + if listener: + listener.stop() + + return Platform( + notify=notify, + dispatch=dispatch, + open_logs=open_logs, + setup_toggle_trigger=setup_toggle_trigger, + cleanup_toggle_trigger=cleanup_toggle_trigger, + ) + + +def _make_linux_platform() -> Platform: + prev_handler = None + + def notify(title: str, message: str): + try: + subprocess.Popen( + ["notify-send", APP_NAME, f"{title}: {message}"], + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + except Exception: + logging.exception("Linux notification failed") + + def dispatch(task: str): + dispatch_sh = Path.home() / ".local" / "bin" / "dispatch.sh" + safe_query = shlex.quote(task) + cmd = ["bash", str(dispatch_sh), safe_query] + logging.info("Dispatching agent task with %d characters", len(task)) + subprocess.Popen( + cmd, + start_new_session=True, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + + def open_logs(): + subprocess.Popen( + ["xdg-open", str(LOG_FILE)], + start_new_session=True, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + + def setup_toggle_trigger(app: "BlurtApp"): + nonlocal prev_handler + PID_FILE.write_text(str(os.getpid())) + logging.info("Wrote toggle PID file: %s", PID_FILE) + + def on_sigusr1(signum, frame): + threading.Thread(target=app.toggle_recording, daemon=True).start() + + prev_handler = signal.signal(signal.SIGUSR1, on_sigusr1) + + def cleanup_toggle_trigger(): + nonlocal prev_handler + if prev_handler is not None: + signal.signal(signal.SIGUSR1, prev_handler) + PID_FILE.unlink(missing_ok=True) + + return Platform( + notify=notify, + dispatch=dispatch, + open_logs=open_logs, + setup_toggle_trigger=setup_toggle_trigger, + cleanup_toggle_trigger=cleanup_toggle_trigger, + ) + + +def get_platform() -> Platform: + if sys.platform == "win32": + return _make_windows_platform() + return _make_linux_platform() + + +def send_toggle(): + """Send toggle signal to running blurt instance (Linux only).""" + if sys.platform == "win32": + print("'blurt toggle' is not supported on Windows.", file=sys.stderr) + sys.exit(1) + try: + pid = int(PID_FILE.read_text().strip()) + logging.info("Sending toggle signal to PID %s", pid) + os.kill(pid, signal.SIGUSR1) + except (FileNotFoundError, ValueError, ProcessLookupError): + print("No running blurt instance found.", file=sys.stderr) + sys.exit(1) + + +class BlurtApp: + def __init__(self, platform: Platform): + self.platform = platform + self.recording = False + self.audio_frames: list[np.ndarray] = [] + self.stream: sd.InputStream | None = None + self.lock = threading.Lock() + self.icon: pystray.Icon | None = None + self.device_index: int | None = None + self.input_devices = self._get_input_devices() + self.transcription_model = load_transcription_model() + self.transcription_language = load_transcription_language() + self.api_key = load_api_key() + self.pending_transcriptions = 0 + logging.info( + "BlurtApp initialized with %d input devices, model=%s, language=%s", + len(self.input_devices), + self.transcription_model, + self.transcription_language, + ) + + def _get_input_devices(self) -> list[dict]: + devices = sd.query_devices() + input_devices = [ + {"index": i, "name": d["name"]} + for i, d in enumerate(devices) + if d["max_input_channels"] > 0 + ] + for dev in input_devices: + logging.info("Input device %s: %s", dev["index"], dev["name"]) + return input_devices + + def _create_icon_image(self, color: tuple[int, int, int]) -> Image.Image: + img = Image.new("RGBA", (64, 64), (0, 0, 0, 0)) + draw = ImageDraw.Draw(img) + draw.ellipse([8, 8, 56, 56], fill=color) + return img + + def _update_icon(self): + if self.icon: + if self.recording: + color = (220, 40, 40) # red + state = "Recording..." + elif self.pending_transcriptions > 0: + color = (40, 100, 220) # blue + state = "Transcribing..." + else: + color = (120, 120, 120) # gray + state = "Ready" + self.icon.icon = self._create_icon_image(color) + self.icon.title = f"{APP_NAME} - {state}" + self.icon.update_menu() + + def _audio_callback(self, indata, frames, time_info, status): + if status: + print(f"sounddevice: {status}", file=sys.stderr) + self.audio_frames.append(indata.copy()) + + def _start_recording(self): + if not self.api_key: + self.platform.notify("Error", "No API key. Put your key in api_key.txt") + return + self.audio_frames = [] + try: + self.stream = sd.InputStream( + device=self.device_index, + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=DTYPE, + callback=self._audio_callback, + ) + self.stream.start() + logging.info("Started recording with device_index=%s", self.device_index) + except Exception as e: + logging.exception("Could not start recording") + self.platform.notify("Error", f"Could not start recording: {e}") + return + self.recording = True + self._update_icon() + self.platform.notify("Recording", "Press hotkey or click tray to stop.") + + def _stop_recording(self) -> np.ndarray | None: + if self.stream: + self.stream.stop() + self.stream.close() + self.stream = None + self.recording = False + self._update_icon() + if not self.audio_frames: + logging.warning("Stopped recording with no audio frames") + return None + audio_data = np.concatenate(self.audio_frames, axis=0) + self.audio_frames = [] + logging.info( + "Stopped recording: samples=%d shape=%s dtype=%s", + len(audio_data), + audio_data.shape, + audio_data.dtype, + ) + return audio_data + + def _transcribe(self, audio_data: np.ndarray): + self.platform.notify( + "Transcribing", + f"Using {get_model_label(self.transcription_model)} ({self.transcription_language})", + ) + logging.info("Starting transcription: samples=%d", len(audio_data)) + + tmp = tempfile.NamedTemporaryFile(suffix=".wav", delete=False) + tmp_path = Path(tmp.name) + tmp.close() + wavfile.write(str(tmp_path), SAMPLE_RATE, audio_data) + logging.info("Wrote temporary WAV: %s (%d bytes)", tmp_path, tmp_path.stat().st_size) + + try: + result = self._transcribe_openai(tmp_path) + text = result.get("text", "") + logging.info("Transcription text length: %d", len(text)) + if "usage" in result: + logging.info("Transcription usage: %s", result["usage"]) + + if not text: + error_msg = result.get("error", {}).get("message", "Unknown error") + logging.error("Transcription response did not include text: %s", result) + self.platform.notify("Error", f"Transcription failed: {error_msg}") + return + + if text.lower().startswith(AGENT_PREFIX): + task = text[len(AGENT_PREFIX):].lstrip(" ,.:;-") + if task: + pyperclip.copy(task) + try: + self.platform.dispatch(task) + except Exception as e: + self.platform.notify("Dispatch Error", str(e)) + preview = task[:50] + ("..." if len(task) > 50 else "") + self.platform.notify("Dispatched", preview) + logging.info("Dispatched transcription task with %d characters", len(task)) + else: + pyperclip.copy(text) + self.platform.notify("Error", f"No task after '{AGENT_PREFIX}'") + logging.warning("Agent prefix detected with no task") + else: + pyperclip.copy(text) + preview = text[:50] + ("..." if len(text) > 50 else "") + self.platform.notify("Copied", preview) + logging.info("Copied transcription to clipboard") + + except requests.RequestException as e: + logging.exception("API request failed") + self.platform.notify("Error", f"API request failed: {e}") + except Exception as e: + logging.exception("Unexpected transcription failure") + self.platform.notify("Error", f"Unexpected transcription failure: {e}") + finally: + self.pending_transcriptions -= 1 + self._update_icon() + try: + tmp_path.unlink(missing_ok=True) + except OSError: + pass + + def _transcribe_openai(self, tmp_path: Path) -> dict: + with open(tmp_path, "rb") as f: + response = requests.post( + OPENAI_TRANSCRIPTIONS_URL, + headers={"Authorization": f"Bearer {self.api_key}"}, + files={"file": ("blurt.wav", f, "audio/wav")}, + data={ + "model": self.transcription_model, + "language": self.transcription_language, + }, + timeout=30, + ) + self._log_transcription_response(response) + response.raise_for_status() + return response.json() + + def _log_transcription_response(self, response: requests.Response): + logging.info( + "Transcription response: status=%s content_type=%s bytes=%d", + response.status_code, + response.headers.get("content-type", ""), + len(response.content), + ) + if not response.ok: + logging.error("Transcription error response: %s", response.text[:1000]) + + def toggle_recording(self): + with self.lock: + if not self.recording: + self._start_recording() + else: + audio_data = self._stop_recording() + if audio_data is not None: + self.pending_transcriptions += 1 + self._update_icon() + t = threading.Thread( + target=self._transcribe, args=(audio_data,), daemon=True + ) + t.start() + else: + self.platform.notify("Error", "No audio recorded.") + + def _on_click(self, icon, item): + self.toggle_recording() + + def _show_logs(self, icon, item): + try: + logging.info("Opening log file: %s", LOG_FILE) + self.platform.open_logs() + except Exception as e: + logging.exception("Could not open log file") + self.platform.notify("Error", f"Could not open log file: {e}") + + def _select_model(self, model: str): + def handler(icon, item): + self.transcription_model = model + self.api_key = load_api_key() + save_transcription_model(model) + self.icon.update_menu() + self.platform.notify("Model Selected", get_model_label(model)) + return handler + + def _select_language(self, language: str): + def handler(icon, item): + self.transcription_language = language + save_transcription_language(language) + self.icon.update_menu() + self.platform.notify("Language Selected", get_language_label(language)) + return handler + + def _is_model_selected(self, model: str): + def check(item): + return self.transcription_model == model + return check + + def _is_language_selected(self, language: str): + def check(item): + return self.transcription_language == language + return check + + def _select_device(self, device_index): + def handler(icon, item): + self.device_index = device_index + self.icon.update_menu() + return handler + + def _is_device_selected(self, device_index): + def check(item): + return self.device_index == device_index + return check + + def _build_menu(self): + device_items = [] + for dev in self.input_devices: + device_items.append( + pystray.MenuItem( + dev["name"], + self._select_device(dev["index"]), + checked=self._is_device_selected(dev["index"]), + radio=True, + ) + ) + + model_items = [] + for model, label in TRANSCRIPTION_MODELS: + model_items.append( + pystray.MenuItem( + label, + self._select_model(model), + checked=self._is_model_selected(model), + radio=True, + ) + ) + + language_items = [] + for language, label in TRANSCRIPTION_LANGUAGES: + language_items.append( + pystray.MenuItem( + label, + self._select_language(language), + checked=self._is_language_selected(language), + radio=True, + ) + ) + + return pystray.Menu( + pystray.MenuItem( + lambda item: "Stop Recording" if self.recording else "Start Recording", + self._on_click, + default=True, + ), + pystray.Menu.SEPARATOR, + pystray.MenuItem("Input Device", pystray.Menu(*device_items)), + pystray.MenuItem("Model", pystray.Menu(*model_items)), + pystray.MenuItem("Language", pystray.Menu(*language_items)), + pystray.MenuItem("Show Logs", self._show_logs), + pystray.Menu.SEPARATOR, + pystray.MenuItem("Quit", self._on_quit), + ) + + def _on_quit(self, icon, item): + if self.recording: + self._stop_recording() + self.platform.cleanup_toggle_trigger() + icon.stop() + + def _setup(self, icon): + icon.visible = True + + def run(self): + self.platform.setup_toggle_trigger(self) + logging.info("Starting tray icon") + self.icon = pystray.Icon( + APP_NAME, + icon=self._create_icon_image((120, 120, 120)), + title=f"{APP_NAME} - Ready", + menu=self._build_menu(), + ) + self.icon.run(setup=self._setup) + + +def main(): + setup_logging() + logging.info("Starting %s argv=%s platform=%s log_file=%s", APP_NAME, sys.argv, sys.platform, LOG_FILE) + if len(sys.argv) > 1 and sys.argv[1] == "toggle": + send_toggle() + return + + platform = get_platform() + app = BlurtApp(platform) + app.run() + + +if __name__ == "__main__": + main() diff --git a/blurt.vbs b/blurt.vbs new file mode 100755 index 0000000..5cb8b1e --- /dev/null +++ b/blurt.vbs @@ -0,0 +1,3 @@ +Set WshShell = CreateObject("WScript.Shell") +WshShell.CurrentDirectory = CreateObject("Scripting.FileSystemObject").GetParentFolderName(WScript.ScriptFullName) +WshShell.Run "cmd /c uv run blurt", 0, False diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..ccb661b --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "blurt" +version = "0.1.0" +description = "Toggle voice-to-text tool" +requires-python = ">=3.11" +dependencies = [ + "sounddevice", + "scipy", + "requests", + "pystray", + "PyGObject; sys_platform == 'linux'", + "Pillow", + "pynput; sys_platform == 'win32'", + "pyperclip", + "winotify; sys_platform == 'win32'", + "keyring", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project.scripts] +blurt = "blurt:main" diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..657fb8d --- /dev/null +++ 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