RealTimeSTT-fork/tests/realtimestt_test.py

if __name__ == '__main__':

    EXTENDED_LOGGING = False

    import os
    import sys
    if os.name == "nt" and (3, 8) <= sys.version_info < (3, 99):
        from torchaudio._extension.utils import _init_dll_path
        _init_dll_path()    

    if EXTENDED_LOGGING:
        import logging
        logging.basicConfig(level=logging.DEBUG)

    from RealtimeSTT import AudioToTextRecorder
    from colorama import Fore, Back, Style
    import colorama

    print("Initializing RealtimeSTT test...")

    colorama.init()

    full_sentences = []
    displayed_text = ""

    def clear_console():
        os.system('clear' if os.name == 'posix' else 'cls')

    def text_detected(text):
        global displayed_text
        sentences_with_style = [
            f"{Fore.YELLOW + sentence + Style.RESET_ALL if i % 2 == 0 else Fore.CYAN + sentence + Style.RESET_ALL} "
            for i, sentence in enumerate(full_sentences)
        ]
        new_text = "".join(sentences_with_style).strip() + " " + text if len(sentences_with_style) > 0 else text

        if new_text != displayed_text:
            displayed_text = new_text
            clear_console()
            print(f"Language: {recorder.detected_language} (realtime: {recorder.detected_realtime_language})")
            print(displayed_text, end="", flush=True)

    def process_text(text):
        full_sentences.append(text)
        text_detected("")

    recorder_config = {
        'spinner': False,
        'model': 'large-v2',
        'realtime_model_type': 'tiny',
        'language': 'en',
        'silero_sensitivity': 0.05,
        'webrtc_sensitivity': 3,
        'post_speech_silence_duration': 0.4,
        'min_length_of_recording': 0,
        'min_gap_between_recordings': 0,
        'enable_realtime_transcription': False,
        'realtime_processing_pause': 0,
        'on_realtime_transcription_update': text_detected, 
        'silero_deactivity_detection': True,
        'min_length_of_recording': 0.5, 
        'early_transcription_on_silence': False
    }

   # Conditionally add logging level if EXTENDED_LOGGING is True
    if EXTENDED_LOGGING:
        recorder_config['level'] = logging.DEBUG

    recorder = AudioToTextRecorder(**recorder_config)

    clear_console()
    print("Say something...", end="", flush=True)


    try:
        while (True):
            recorder.text(process_text)
    except KeyboardInterrupt:
        print("Exiting application due to keyboard interrupt")