from RealtimeSTT import AudioToTextRecorder
from colorama import Fore, Back, Style
import colorama
import os
from googletrans import Translator
import re
import pyttsx3
if __name__ == '__main__':
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(displayed_text, end="", flush=True)
# Vertaal de tekst naar het Engels zonder opmaak
translator = Translator()
plain_text = strip_ansi(displayed_text) # Verwijder opmaakcodes
result = translator.translate(plain_text, dest='en')
clear_console()
print(result.text)
speak(result.text)
def strip_ansi(text):
# Verwijder ANSI-kleurencodes uit de tekst
ansi_escape = re.compile(r'\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])')
return ansi_escape.sub('', text)
def process_text(text):
text = full_sentences.append(text)
text_detected("") # Update de getoonde tekst
def speak(text):
engine = pyttsx3.init()
engine.say(text)
engine.runAndWait()
text = ""
engine.endLoop
engine.stop
recorder_config = {
'spinner': False,
'model': 'large-v2',
'language': 'en',
'silero_sensitivity': 0.4,
'webrtc_sensitivity': 2,
'post_speech_silence_duration': 0.4,
'min_length_of_recording': 0,
'min_gap_between_recordings': 0,
'enable_realtime_transcription': True,
'realtime_processing_pause': 0.2,
'realtime_model_type': 'large-v3',
'on_realtime_transcription_update': text_detected,
}
recorder = AudioToTextRecorder(**recorder_config)
clear_console()
print("Say something...", end="", flush=True)
while True:
recorder.text(process_text)
When I first speak , it translates and speaks fine the translation but when I speak again without restarting it says the error.
I tried a lot but I think I'm just missing something easy.
You are doing a lot of stuff in text_detected. Like initializing translator = Translator() and calling speak. text_detected method will gets called very often because you also referenced it at 'on_realtime_transcription_update': text_detected. You want to speak the detected sentence only on process_text method, when the final transcription is delivered. Also Tim is right, engine.endLoop and engine.stop are wrong here.