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- if __name__ == '__main__':
- EXTENDED_LOGGING = False
- if EXTENDED_LOGGING:
- import logging
- logging.basicConfig(level=logging.DEBUG)
- import os
- import sys
- from RealtimeSTT import AudioToTextRecorder
- from colorama import Fore, Style
- import colorama
- from rich.live import Live
- from rich.console import Console
- from rich.text import Text
- if os.name == "nt" and (3, 8) <= sys.version_info < (3, 99):
- from torchaudio._extension.utils import _init_dll_path
- _init_dll_path()
- print("Initializing RealtimeSTT test...")
- colorama.init()
- # Initialize Rich Console and Live
- console = Console()
- live = Live(console=console, refresh_per_second=10, screen=False)
- live.start()
- full_sentences = []
- displayed_text = ""
- prev_text = ""
- rich_text_stored = ""
- recorder = None
- end_of_sentence_detection_pause = 0.4
- unknown_sentence_detection_pause = 0.7
- mid_sentence_detection_pause = 2.0
- def clear_console():
- os.system('clear' if os.name == 'posix' else 'cls')
- def text_detected(text):
- global displayed_text, prev_text, full_sentences, recorder, rich_text_stored
- sentence_end_marks = ['.', '!', '?', '。']
- if text.endswith("..."):
- recorder.post_speech_silence_duration = mid_sentence_detection_pause
- elif text and text[-1] in sentence_end_marks and prev_text and prev_text[-1] in sentence_end_marks:
- recorder.post_speech_silence_duration = end_of_sentence_detection_pause
- else:
- recorder.post_speech_silence_duration = unknown_sentence_detection_pause
- prev_text = text
- # Build Rich Text with alternating colors
- rich_text = Text()
- for i, sentence in enumerate(full_sentences):
- if i % 2 == 0:
- rich_text += Text(sentence, style="yellow") + Text(" ")
- else:
- rich_text += Text(sentence, style="cyan") + Text(" ")
-
- # If the current text is not a sentence-ending, display it in real-time
- if text:
- rich_text += Text(text, style="white")
- new_displayed_text = rich_text.plain
- if new_displayed_text != displayed_text:
- displayed_text = new_displayed_text
- live.update(rich_text)
- rich_text_stored = rich_text
- def process_text(text):
- global recorder, full_sentences, prev_text
- recorder.post_speech_silence_duration = unknown_sentence_detection_pause
- full_sentences.append(text)
- prev_text = ""
- text_detected("")
- # Recorder configuration
- recorder_config = {
- 'spinner': False,
- 'model': 'large-v2',
- # 'input_device_index': 1,
- 'realtime_model_type': 'tiny.en',
- 'language': 'en',
- 'silero_sensitivity': 0.05,
- 'webrtc_sensitivity': 3,
- 'post_speech_silence_duration': unknown_sentence_detection_pause,
- 'min_length_of_recording': 0.7,
- 'min_gap_between_recordings': 0,
- 'enable_realtime_transcription': True,
- 'realtime_processing_pause': 0.1,
- #'on_realtime_transcription_update': text_detected,
- 'on_realtime_transcription_stabilized': text_detected,
- 'silero_deactivity_detection': True,
- 'early_transcription_on_silence': 0.2,
- 'beam_size': 5,
- 'beam_size_realtime': 1,
- 'no_log_file': True,
- }
- if EXTENDED_LOGGING:
- recorder_config['level'] = logging.DEBUG
- recorder = AudioToTextRecorder(**recorder_config)
- # Initial display message
- initial_text = Text("Say something...", style="green")
- live.update(initial_text)
- try:
- while True:
- recorder.text(process_text)
- except KeyboardInterrupt:
- live.stop()
- print("Exit due to keyboard interrupt.")
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