#!/usr/bin/env python3
"""
Local Transcription Application

A standalone desktop application for real-time speech-to-text transcription
using Whisper models. Supports CPU/GPU processing, noise suppression, and
optional multi-user server synchronization.
"""

import sys
from pathlib import Path

# Add project root to Python path
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))

from PySide6.QtWidgets import QApplication
from gui.main_window_qt import MainWindow


def main():
    """Main application entry point."""
    try:
        print("Starting Local Transcription Application...")
        print("=" * 50)

        # Create Qt application
        app = QApplication(sys.argv)

        # Set application info
        app.setApplicationName("Local Transcription")
        app.setOrganizationName("LocalTranscription")

        # Create and show main window
        window = MainWindow()
        window.show()

        # Run application
        sys.exit(app.exec())

    except KeyboardInterrupt:
        print("\nApplication interrupted by user")
        sys.exit(0)
    except Exception as e:
        print(f"Fatal error: {e}")
        import traceback
        traceback.print_exc()
        sys.exit(1)


if __name__ == "__main__":
    main()