0b2b5848e2
- Transcriber: Enforced 'beam_size=5' and prompt injection for robust translation. - Transcriber: Removed conditioning on previous text to prevent language stickiness. - Transcriber: Refactored kwargs to sanitize inputs. - Overlay: Fixed click-through by toggling WS_EX_TRANSPARENT. - UI: Added real download progress reporting. - Docs: Refactored language list to table.
656 lines
26 KiB
Python
656 lines
26 KiB
Python
import sys
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import threading
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import logging
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import os
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# Add the application directory to sys.path to ensure 'src' is findable
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# This is critical for the embedded Python environment in the portable build
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app_dir = os.path.dirname(os.path.abspath(__file__))
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if app_dir not in sys.path:
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sys.path.insert(0, app_dir)
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from PySide6.QtWidgets import QApplication, QFileDialog, QMessageBox
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from PySide6.QtCore import QObject, Slot, Signal, QThread, Qt, QUrl
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from PySide6.QtQml import QQmlApplicationEngine
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from PySide6.QtQuickControls2 import QQuickStyle
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from PySide6.QtGui import QIcon
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from src.ui.bridge import UIBridge
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from src.ui.tray import SystemTray
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from src.core.audio_engine import AudioEngine
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from src.core.transcriber import WhisperTranscriber
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from src.core.hotkey_manager import HotkeyManager
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from src.core.config import ConfigManager
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from src.utils.injector import InputInjector
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from src.core.paths import get_models_path, get_bundle_path
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from src.utils.window_hook import WindowHook
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from PySide6.QtGui import QSurfaceFormat
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# Configure GPU Surface for Alpha/Transparency (Critical for Blur)
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surface_fmt = QSurfaceFormat()
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surface_fmt.setAlphaBufferSize(8)
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QSurfaceFormat.setDefaultFormat(surface_fmt)
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# Configure High DPI behavior for crisp UI
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os.environ["QT_ENABLE_HIGHDPI_SCALING"] = "1"
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os.environ["QT_AUTOSCREENSCALEFACTOR"] = "1"
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# Detect resolution without creating QApplication (Fixes crash)
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try:
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import ctypes
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user32 = ctypes.windll.user32
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# Get physical screen width (unscaled)
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# SetProcessDPIAware is needed to get the true resolution
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user32.SetProcessDPIAware()
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width = user32.GetSystemMetrics(0)
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# Base scale centers around 1920 width.
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# At 3840 (4k), res_scale is 2.0. If we want it ~40% smaller, we multiply by 0.6 = 1.2
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res_scale = (width / 1920)
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if width >= 3840:
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res_scale *= 0.6 # Make it significantly smaller at 4k as requested
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os.environ["QT_SCALE_FACTOR"] = str(max(1.0, res_scale))
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except:
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pass
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# Configure Logging
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class QmlLoggingHandler(logging.Handler, QObject):
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sig_log = Signal(str)
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def __init__(self, bridge):
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logging.Handler.__init__(self)
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QObject.__init__(self)
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self.bridge = bridge
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self.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s'))
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self.sig_log.connect(self.bridge.append_log)
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def emit(self, record):
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msg = self.format(record)
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self.sig_log.emit(msg)
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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# Silence shutdown-related tracebacks from Qt/PySide6 signals
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def _silent_shutdown_hook(exc_type, exc_value, exc_tb):
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# During Python shutdown, some QObject signals may try to call dead slots.
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# Ignore these specific tracebacks when they occur in bridge.py.
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import traceback
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if exc_type in (RuntimeError, SystemError, KeyboardInterrupt):
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return # Suppress completely
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tb_str = ''.join(traceback.format_exception(exc_type, exc_value, exc_tb))
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if 'bridge.py' in tb_str and '@Slot' in tb_str:
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return # Suppress bridge signal tracebacks
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# For all other exceptions, print normally
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sys.__excepthook__(exc_type, exc_value, exc_tb)
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sys.excepthook = _silent_shutdown_hook
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class DownloadWorker(QThread):
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"""Background worker for model downloads with REAL progress."""
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progress = Signal(int)
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finished = Signal()
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error = Signal(str)
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def __init__(self, model_name="small", parent=None):
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super().__init__(parent)
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self.model_name = model_name
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def run(self):
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try:
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import requests
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from tqdm import tqdm
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model_path = get_models_path()
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dest_dir = model_path / f"faster-whisper-{self.model_name}"
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dest_dir.mkdir(parents=True, exist_ok=True)
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# Files to download for a standard faster-whisper model
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# We map local filenames to HF repo filenames
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repo_id = f"Systran/faster-whisper-{self.model_name}"
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files = ["config.json", "model.bin", "tokenizer.json", "vocabulary.json"]
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# Check if Preprocessor config exists (sometimes it does, usually optional for whisper?)
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# We'll stick to the core 4.
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base_url = f"https://huggingface.co/{repo_id}/resolve/main"
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logging.info(f"Downloading {self.model_name} from {base_url}...")
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# 1. Calculate Total Size
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total_size = 0
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file_sizes = {}
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with requests.Session() as s:
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for fname in files:
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url = f"{base_url}/{fname}"
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head = s.head(url, allow_redirects=True)
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if head.status_code == 200:
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size = int(head.headers.get('content-length', 0))
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file_sizes[fname] = size
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total_size += size
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else:
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# Fallback for vocabulary.json vs vocabulary.txt
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if fname == "vocabulary.json":
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# Try .txt? Or just skip if not found?
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# Faster-whisper usually has vocabulary.json
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pass
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# 2. Download loop
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downloaded_bytes = 0
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with requests.Session() as s:
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for fname in files:
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if fname not in file_sizes: continue
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url = f"{base_url}/{fname}"
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dest_file = dest_dir / fname
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# Resume check?
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# Simpler to just overwrite for reliability unless we want complex resume logic.
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# We'll overwrite.
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resp = s.get(url, stream=True)
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resp.raise_for_status()
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with open(dest_file, 'wb') as f:
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for chunk in resp.iter_content(chunk_size=8192):
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if chunk:
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f.write(chunk)
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downloaded_bytes += len(chunk)
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# Emit Progress
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if total_size > 0:
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pct = int((downloaded_bytes / total_size) * 100)
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self.progress.emit(pct)
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self.finished.emit()
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except Exception as e:
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logging.error(f"Download failed: {e}")
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self.error.emit(str(e))
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class TranscriptionWorker(QThread):
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finished = Signal(str)
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def __init__(self, transcriber, audio_data, is_file=False, parent=None, task_override=None):
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super().__init__(parent)
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self.transcriber = transcriber
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self.audio_data = audio_data
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self.is_file = is_file
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self.task_override = task_override
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def run(self):
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text = self.transcriber.transcribe(self.audio_data, is_file=self.is_file, task=self.task_override)
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self.finished.emit(text)
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class WhisperApp(QObject):
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def __init__(self):
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super().__init__()
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# Force a style that supports full customization
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QQuickStyle.setStyle("Basic")
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self.qt_app = QApplication(sys.argv)
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self.qt_app.setQuitOnLastWindowClosed(False)
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# Set application-wide window icon (shows in taskbar for all windows)
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icon_path = get_bundle_path() / "assets" / "icon.ico"
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if icon_path.exists():
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self.qt_app.setWindowIcon(QIcon(str(icon_path)))
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self.config = ConfigManager()
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# 1. Initialize QML Engine & Bridge
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self.engine = QQmlApplicationEngine()
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self.bridge = UIBridge()
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# 0. Attach Logging Handler
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logging.getLogger().addHandler(QmlLoggingHandler(self.bridge))
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# Connect toggle recording signal
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self.bridge.toggleRecordingRequested.connect(self.toggle_recording)
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self.bridge.isRecordingChanged.connect(self.on_ui_toggle_request)
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self.bridge.settingChanged.connect(self.on_settings_changed)
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self.bridge.hotkeysEnabledChanged.connect(self.on_hotkeys_enabled_toggle)
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self.bridge.downloadRequested.connect(self.on_download_requested)
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self.engine.rootContext().setContextProperty("ui", self.bridge)
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# 2. Tray setup
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self.tray = SystemTray()
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self.tray.quit_requested.connect(self.quit_app)
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self.tray.settings_requested.connect(self.open_settings)
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self.tray.transcribe_file_requested.connect(self.transcribe_file)
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# Init Tooltip
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from src.utils.formatters import format_hotkey
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self.format_hotkey = format_hotkey # Store ref
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hk1 = self.format_hotkey(self.config.get("hotkey"))
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hk2 = self.format_hotkey(self.config.get("hotkey_translate"))
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self.tray.setToolTip(f"Whisper Voice\nTranscribe: {hk1}\nTranslate: {hk2}")
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# 3. Logic Components Placeholders
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self.audio_engine = None
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self.transcriber = None
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self.hk_transcribe = None
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self.hk_translate = None
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self.overlay_root = None
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# 4. Start Loader
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loader_qml = get_bundle_path() / "src/ui/qml/Loader.qml"
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self.engine.load(QUrl.fromLocalFile(str(loader_qml)))
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self.loader_root = self.engine.rootObjects()[0]
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self.loader_root.setProperty("color", "transparent")
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self.loader_worker = DownloadWorker()
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self.loader_worker.progress.connect(self.on_loader_progress)
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self.loader_worker.finished.connect(self.on_loader_done)
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self.loader_worker.start()
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# Preload audio devices in background to avoid settings lag
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import threading
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threading.Thread(target=self.bridge.preload_audio_devices, daemon=True).start()
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def on_loader_progress(self, percent):
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self.bridge.downloadProgress = percent
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def on_loader_done(self):
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if getattr(self, "_loader_handled", False):
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return
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self._loader_handled = True
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logging.info("Model verification complete.")
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# Close Loader Window
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if hasattr(self, "loader_root"):
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self.loader_root.close()
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# Init Backend
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self.init_logic()
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# Show Overlay (Ensure we don't load multiple times)
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overlay_qml = get_bundle_path() / "src/ui/qml/Overlay.qml"
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self.engine.load(QUrl.fromLocalFile(str(overlay_qml)))
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self.overlay_root = self.engine.rootObjects()[-1]
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self.overlay_root.setProperty("color", "transparent")
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self.center_overlay()
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# Preload Settings (Invisible)
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logging.info("Preloading Settings window...")
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self.open_settings()
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if self.settings_root:
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self.settings_root.setVisible(False)
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# Install Low-Level Window Hook for Transparent Hit Test
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try:
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from src.utils.window_hook import WindowHook
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hwnd = self.overlay_root.winId()
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# Initial scale from config
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scale = float(self.config.get("ui_scale"))
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# Current Overlay Dimensions
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win_w = int(460 * scale)
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win_h = int(180 * scale)
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self.window_hook = WindowHook(hwnd, win_w, win_h, initial_scale=scale)
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self.window_hook.install()
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# Initial state: Disabled because we start inactive
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self.window_hook.set_enabled(False)
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except Exception as e:
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logging.error(f"Failed to install WindowHook: {e}")
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def center_overlay(self):
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"""Calculates and sets the Overlay position above the taskbar."""
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from PySide6.QtGui import QGuiApplication
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screen = QGuiApplication.primaryScreen()
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if not screen or not self.overlay_root: return
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geom = screen.availableGeometry()
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w = self.overlay_root.width()
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h = self.overlay_root.height()
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x = geom.x() + (geom.width() - w) // 2
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y = geom.bottom() - h - 15
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self.overlay_root.setX(x)
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self.overlay_root.setY(y)
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def init_logic(self):
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if getattr(self, "_logic_initialized", False):
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return
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self._logic_initialized = True
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logging.info("Initializing Core Logic...")
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self.audio_engine = AudioEngine()
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self.audio_engine.set_visualizer_callback(self.bridge.update_amplitude)
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self.audio_engine.set_silence_callback(self.on_silence_detected)
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self.transcriber = WhisperTranscriber()
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# Dual Hotkey Managers
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self.hk_transcribe = HotkeyManager(config_key="hotkey")
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self.hk_transcribe.triggered.connect(lambda: self.toggle_recording(task_override="transcribe"))
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self.hk_transcribe.start()
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self.hk_translate = HotkeyManager(config_key="hotkey_translate")
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self.hk_translate.triggered.connect(lambda: self.toggle_recording(task_override="translate"))
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self.hk_translate.start()
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self.bridge.update_status("Ready")
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def run(self):
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sys.exit(self.qt_app.exec())
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@Slot()
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def quit_app(self):
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logging.info("Shutting down...")
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# [CRITICAL] Stop the StatsWorker FIRST before any UI objects are touched.
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# This prevents signal emissions to a dying UIBridge object.
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if hasattr(self, 'bridge') and hasattr(self.bridge, 'stats_worker'):
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try:
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self.bridge.stats_worker.stats_ready.disconnect(self.bridge.update_stats_callback)
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except: pass
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self.bridge.stats_worker.stop()
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if self.hk_transcribe: self.hk_transcribe.stop()
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if self.hk_translate: self.hk_translate.stop()
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# Close all QML windows to ensure bindings stop before Python objects die
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if self.overlay_root:
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self.overlay_root.close()
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self.overlay_root.deleteLater()
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if hasattr(self, 'loader_root') and self.loader_root:
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self.loader_root.close()
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self.loader_root.deleteLater()
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if hasattr(self, 'settings_root') and self.settings_root:
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self.settings_root.close()
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self.settings_root.deleteLater()
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if hasattr(self, 'loader_worker') and self.loader_worker and self.loader_worker.isRunning():
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logging.info("Waiting for loader to finish...")
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self.loader_worker.quit()
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self.loader_worker.wait(1000)
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if hasattr(self, 'worker') and self.worker and self.worker.isRunning():
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logging.info("Waiting for transcription to finish...")
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self.worker.quit()
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self.worker.wait(2000)
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self.qt_app.quit()
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@Slot()
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def open_settings(self):
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if not hasattr(self, 'settings_root') or self.settings_root is None:
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logging.info("Loading Settings window for the first time...")
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settings_qml = get_bundle_path() / "src/ui/qml/Settings.qml"
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self.engine.load(QUrl.fromLocalFile(str(settings_qml)))
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self.settings_root = self.engine.rootObjects()[-1]
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self.settings_root.setProperty("color", "transparent")
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# Connect the closing signal to just hide/delete reference if needed,
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# but better to keep it alive. Actually, QML Window close() hides it by default usually
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# unless we set closePolicy. Let's ensure we can re-show it.
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# We might need to listen to closing signal to prevent destruction if we want to reuse.
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# But simpler: check if it exists, if so, show/raise it.
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# Center on screen
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from PySide6.QtGui import QGuiApplication
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screen = QGuiApplication.primaryScreen()
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if screen:
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geom = screen.availableGeometry()
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self.settings_root.setX(geom.x() + (geom.width() - self.settings_root.width()) // 2)
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self.settings_root.setY(geom.y() + (geom.height() - self.settings_root.height()) // 2)
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self.settings_root.setVisible(True)
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self.settings_root.requestActivate()
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@Slot()
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def init_settings_preload(self):
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"""Preloads settings window to avoid lag on first open."""
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# Check if already loaded
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if hasattr(self, 'settings_root') and self.settings_root:
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return
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logging.info("Preloading Settings QML...")
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# Load but keep hidden? QML Window visible defaults to true usually,
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# so we might see a flicker if we don't be careful.
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# Ideally we load it with visible: false property from python or QML.
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# For now, let's just let the first open be the load, but since user complained about lag...
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# effectively doing nothing different here unless we actually trigger load.
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pass
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@Slot(str, 'QVariant')
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def on_settings_changed(self, key, value):
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"""
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React to settings changes in real-time.
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Some settings require immediate action (reloading model, moving window).
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"""
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print(f"Setting Changed: {key} = {value}")
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# 1. Hotkey Reload
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if key in ["hotkey", "hotkey_translate"]:
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if self.hk_transcribe: self.hk_transcribe.reload_hotkey()
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if self.hk_translate: self.hk_translate.reload_hotkey()
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if self.tray:
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hk1 = self.format_hotkey(self.config.get("hotkey"))
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hk2 = self.format_hotkey(self.config.get("hotkey_translate"))
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self.tray.setToolTip(f"Whisper Voice\nTranscribe: {hk1}\nTranslate: {hk2}")
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# 2. AI Model Reload (Heavy)
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if key in ["model_size", "compute_device", "compute_type"]:
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size = self.config.get("model_size")
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# Notify UI to check if the new selected model is downloaded
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self.bridge.notifyModelStatesChanged()
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if self.transcriber.model_exists(size):
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logging.info(f"Model '{size}' exists. Reloading engine...")
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threading.Thread(target=self.transcriber.load_model, daemon=True).start()
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else:
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logging.info(f"Model '{size}' not found. Waiting for manual download.")
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# 3. Window Positioning
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if key in ["overlay_position", "overlay_offset_x", "overlay_offset_y", "ui_scale"]:
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self.reposition_overlay()
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# 4. Run on Startup
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if key == "run_on_startup":
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self.handle_startup_shortcut(value)
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# 4. Input Device (Audio Engine handles this on next record start typically,
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# but we can force a stream restart if we want instant feedback?
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# For now, next record is fine as per plan).
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def reposition_overlay(self):
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"""Calculates and sets the Overlay position based on user settings."""
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from PySide6.QtGui import QGuiApplication
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screen = QGuiApplication.primaryScreen()
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if not screen or not self.overlay_root: return
|
|
|
|
# Apply UI Scale (Handled in QML now, but we need it for position calc)
|
|
scale = float(self.config.get("ui_scale"))
|
|
# self.overlay_root.setProperty("scale", scale) # Removed, handled in QML
|
|
|
|
# Get Geometry
|
|
geom = screen.availableGeometry()
|
|
|
|
# Current Scaled Dimensions (Approximation)
|
|
# Note: We must assume the base size is 460x180 (window size)
|
|
# But visually it's 380x100 (container) scaled up.
|
|
# The Window itself stays fixed size (transparent frame), but content scales.
|
|
# Actually, simpler interpretation: The window size is fixed large area, content moves.
|
|
# BUT if we want "Edge alignment", we must account for visual bounds.
|
|
|
|
visual_w = 460 * scale
|
|
visual_h = 180 * scale
|
|
|
|
# We set the WINDOW position anchor.
|
|
# Since the window content is centered, the window is effectively the bounding box we care about?
|
|
# No, the window is 460x180. The content is smaller 380x100.
|
|
# Let's align based on the WINDOW size for now to be safe.
|
|
|
|
# Wait, if we scale in QML, does the window size change? No.
|
|
# So if we scale up 1.5x, content might clip if window doesn't grow.
|
|
# To support UI Scale properly without clipping, we should probably resize the window here too.
|
|
# Let's resize the window to fit the scaled content.
|
|
|
|
win_w = int(460 * scale)
|
|
win_h = int(180 * scale)
|
|
|
|
self.overlay_root.setWidth(win_w)
|
|
self.overlay_root.setHeight(win_h)
|
|
|
|
pos_mode = self.config.get("overlay_position")
|
|
offset_x = int(self.config.get("overlay_offset_x"))
|
|
offset_y = int(self.config.get("overlay_offset_y"))
|
|
|
|
x = 0
|
|
y = 0
|
|
|
|
if pos_mode == "Bottom Center":
|
|
x = geom.x() + (geom.width() - win_w) // 2
|
|
y = geom.bottom() - win_h - 15
|
|
elif pos_mode == "Top Center":
|
|
x = geom.x() + (geom.width() - win_w) // 2
|
|
y = geom.top() + 15
|
|
elif pos_mode == "Bottom Right":
|
|
x = geom.right() - win_w - 15
|
|
y = geom.bottom() - win_h - 15
|
|
elif pos_mode == "Top Right":
|
|
x = geom.right() - win_w - 15
|
|
y = geom.top() + 15
|
|
elif pos_mode == "Bottom Left":
|
|
x = geom.left() + 15
|
|
y = geom.bottom() - win_h - 15
|
|
elif pos_mode == "Top Left":
|
|
x = geom.left() + 15
|
|
y = geom.top() + 15
|
|
|
|
# Apply Offsets
|
|
x += offset_x
|
|
y += offset_y
|
|
|
|
self.overlay_root.setX(x)
|
|
self.overlay_root.setY(y)
|
|
|
|
@Slot()
|
|
def transcribe_file(self):
|
|
file_path, _ = QFileDialog.getOpenFileName(None, "Select Audio", "", "Audio (*.mp3 *.wav *.flac *.m4a *.ogg)")
|
|
if file_path:
|
|
self.bridge.update_status("Thinking...")
|
|
# Files use the default configured task usually, or we could ask?
|
|
# Default to config setting for files.
|
|
self.worker = TranscriptionWorker(self.transcriber, file_path, is_file=True, parent=self)
|
|
self.worker.finished.connect(self.on_transcription_done)
|
|
self.worker.start()
|
|
|
|
@Slot()
|
|
def on_silence_detected(self):
|
|
from PySide6.QtCore import QMetaObject, Qt
|
|
# Silence detection always triggers the task that was active?
|
|
# Since silence stops recording, it just calls toggle_recording with no arg, using the stored current_task?
|
|
# Let's ensure toggle_recording handles no arg calls by stopping the CURRENT task.
|
|
QMetaObject.invokeMethod(self, "toggle_recording", Qt.QueuedConnection)
|
|
|
|
@Slot() # Modified to allow lambda override
|
|
def toggle_recording(self, task_override=None):
|
|
if not self.audio_engine: return
|
|
|
|
# Prevent starting a new recording while we are still transcribing the last one
|
|
if self.bridge.isProcessing:
|
|
logging.warning("Ignored toggle request: Transcription in progress.")
|
|
return
|
|
|
|
# Determine which task we are entering
|
|
if task_override:
|
|
intended_task = task_override
|
|
else:
|
|
intended_task = self.config.get("task")
|
|
|
|
if self.audio_engine.recording:
|
|
# STOP RECORDING
|
|
self.bridge.update_status("Thinking...")
|
|
self.bridge.isRecording = False
|
|
self.bridge.isProcessing = True # Start Processing
|
|
audio_data = self.audio_engine.stop_recording()
|
|
|
|
# Use the task that started this session, or the override if provided (though usually override is for starting)
|
|
final_task = getattr(self, "current_recording_task", self.config.get("task"))
|
|
|
|
self.worker = TranscriptionWorker(self.transcriber, audio_data, parent=self, task_override=final_task)
|
|
self.worker.finished.connect(self.on_transcription_done)
|
|
self.worker.start()
|
|
else:
|
|
# START RECORDING
|
|
self.current_recording_task = intended_task
|
|
self.bridge.update_status(f"Recording ({intended_task})...")
|
|
self.bridge.isRecording = True
|
|
self.audio_engine.start_recording()
|
|
|
|
@Slot(bool)
|
|
def on_ui_toggle_request(self, state):
|
|
if state != self.audio_engine.recording:
|
|
self.toggle_recording() # Default behavior for UI clicks
|
|
|
|
@Slot(str)
|
|
def on_transcription_done(self, text: str):
|
|
self.bridge.update_status("Ready")
|
|
self.bridge.isProcessing = False # End Processing
|
|
if text:
|
|
method = self.config.get("input_method")
|
|
speed = int(self.config.get("typing_speed"))
|
|
InputInjector.inject_text(text, method, speed)
|
|
|
|
@Slot(bool)
|
|
def on_hotkeys_enabled_toggle(self, state):
|
|
if self.hk_transcribe: self.hk_transcribe.set_enabled(state)
|
|
if self.hk_translate: self.hk_translate.set_enabled(state)
|
|
|
|
@Slot(str)
|
|
def on_download_requested(self, size):
|
|
if self.bridge.isDownloading:
|
|
return
|
|
|
|
self.bridge.update_status("Downloading...")
|
|
self.bridge.isDownloading = True
|
|
|
|
self.download_worker = DownloadWorker(size, parent=self)
|
|
self.download_worker.finished.connect(self.on_download_finished)
|
|
self.download_worker.error.connect(self.on_download_error)
|
|
self.download_worker.start()
|
|
|
|
def on_download_finished(self):
|
|
self.bridge.isDownloading = False
|
|
self.bridge.update_status("Ready")
|
|
self.bridge.notifyModelStatesChanged() # Refresh UI markers
|
|
# Automatically load it now that it's here
|
|
threading.Thread(target=self.transcriber.load_model, daemon=True).start()
|
|
|
|
def on_download_error(self, err):
|
|
self.bridge.isDownloading = False
|
|
self.bridge.update_status("Error")
|
|
logging.error(f"Download Error: {err}")
|
|
|
|
@Slot(bool)
|
|
def on_ui_toggle_request(self, is_recording):
|
|
"""Called when recording state changes."""
|
|
# Update Window Hook to allow clicking if active
|
|
is_active = is_recording or self.bridge.isProcessing
|
|
if hasattr(self, 'window_hook'):
|
|
self.window_hook.set_enabled(is_active)
|
|
|
|
@Slot(bool)
|
|
def on_processing_changed(self, is_processing):
|
|
is_active = self.bridge.isRecording or is_processing
|
|
if hasattr(self, 'window_hook'):
|
|
self.window_hook.set_enabled(is_active)
|
|
|
|
if __name__ == "__main__":
|
|
import sys
|
|
app = WhisperApp()
|
|
|
|
# Connect extra signal for processing state
|
|
app.bridge.isProcessingChanged.connect(app.on_processing_changed)
|
|
|
|
sys.exit(app.run())
|