import os
from backend.ai_processing.transcription import transcribe_audio_file_with_language
from backend.ai_processing.gpt import ai_language_detector

def process_audio(file_path: str) -> str:
    """
    Processes the audio file by transcribing it and detecting its language.
    
    - Takes the path to an audio file.
    - Ensures the file exists.
    - Uses the transcribe_audio_file_with_language function to transcribe the audio.
    - Detects the language of the transcription.
    - Raises FileNotFoundError if the file does not exist.
    - Raises ValueError if the language cannot be detected (None).
    - Returns the detected language as a string.
    """
    if not os.path.exists(file_path):
        raise FileNotFoundError(f"File {file_path} not found.")
    
    transcription = transcribe_audio_file_with_language(file_path)
    predicted_language = ai_language_detector(transcription)
    
    if predicted_language is None:
        raise ValueError("Language could not be detected.")
    
    return predicted_language


if __name__ == "__main__":
    # Example usage
    file_path = "path/to/audio/file.wav"
    transcription = process_audio(file_path)
    print(transcription)