#!/usr/bin/env python3
"""
Command-line interface for Voice Summarizer
"""

import argparse
import sys
import os

# Add src to path
sys.path.append(os.path.dirname(__file__))

from transcription.live_transcriber import main as live_main
from transcription.file_transcriber import FileTranscriber
from src.analysis.llm import generate_answer
from io.saver import OutputSaver

def main():
    parser = argparse.ArgumentParser(description="Voice Summarizer - Speech to Text and Analysis")
    subparsers = parser.add_subparsers(dest='command', help='Available commands')

    # Live transcription
    subparsers.add_parser('live', help='Start live transcription from microphone')

    # File transcription
    file_parser = subparsers.add_parser('transcribe', help='Transcribe an audio file')
    file_parser.add_argument('file', help='Path to audio file')
    file_parser.add_argument('--model', default='base', choices=['tiny', 'base', 'small', 'medium', 'large'], help='Whisper model size')
    file_parser.add_argument('--analyze', action='store_true', help='Also analyze the transcription')

    args = parser.parse_args()

    if args.command == 'live':
        live_main()
    elif args.command == 'transcribe':
        transcriber = FileTranscriber(model_size=args.model)
        transcription = transcriber.transcribe_file(args.file)
        print("Transcription:")
        print(transcription)

        saver = OutputSaver()
        session_id = saver.save_transcription(transcription)

        if args.analyze:
            analysis =generate_answer(prompt, max_new_tokens=1024)
            print("\nAnalysis:")
            print(analysis)
            if session_id:
                analysis_session_id = os.path.basename(session_id).replace('_transcript.txt', '')
                saver.save_analysis(analysis, analysis_session_id)
    else:
        parser.print_help()

if __name__ == "__main__":
    main()