if else repeating

[Frankduc]

I want to introduce a message saying no voice command detected if nothing is said.
any tips?

# https://stackoverflow.com/questions/71236203/setting-a-threshold-for-fuzzywuzzy-process-extractone


from speech_recognition import Recognizer, Microphone
from gtts import gTTS
import subprocess
import time
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
from playsound import playsound
import os
from datetime import datetime
from pyowm import OWM
from pyowm.utils.config import get_default_config
currentDateAndTime = datetime.now()
currentTime = currentDateAndTime.strftime("%H:%M:%S")

recognizer = Recognizer()

config_dict = get_default_config()
config_dict['language'] = 'fr'

owm = OWM('22b7aaf6688a49eaa3cc518ab1b76841', config_dict)
mgr = owm.weather_manager()

observation = mgr.weather_at_place('Montreal,CA')
w = observation.weather




def listen_audio():
    global text
    with Microphone() as source:
        print("Dite une commande dans le microphone")
        print("Réglage du bruit ambiant... Patientez...")
        recognizer.adjust_for_ambient_noise(source)
        print("Vous pouvez parler...")
        recorded_audio = recognizer.listen(source)
        print("Enregistrement terminé !")

    

    try:
        print("Reconnaissance du texte...")
        text = recognizer.recognize_google(
            recorded_audio,
            language="fr-FR"
        )
        print("Vous avez dit : {}".format(text))
        
    except Exception as ex:
        print(ex)
    
    return text 

def Auto_speak(response):
    tts = gTTS(text=response, lang='fr')
    tts.save('out.mp3')
    playsound('out.mp3')
    os.remove('out.mp3')



def respond(text):
    respond.has_been_called = False
    maPhrase = text
    phrase_A = ["ouvrir la lumière de l'entrée", "allumer la lumière de l'entrée"]

    phrase_B = ["fermer la lumière de l'entrée", "éteindre la lumière de l'entrée"]

    phrase_C = ["ouvrir la lumière du salon", "allumer la lumière du salon"]

    phrase_D = ["fermer la lumière du salon", "éteindre la lumière du salon"]
    
    phrase_E = ["quelle heure est-il?", "il est quelle heure?"]
    
    phrase_F = ["quel temps fait-il?"]

    
    (modele, score1) = process.extractOne(maPhrase, phrase_A)
    (modele, score2) = process.extractOne(maPhrase, phrase_B)
    (modele, score3) = process.extractOne(maPhrase, phrase_C)
    (modele, score4) = process.extractOne(maPhrase, phrase_D)
    (modele, score5) = process.extractOne(maPhrase, phrase_E)
    (modele, score6) = process.extractOne(maPhrase, phrase_F)
    print(modele)

    if score1 == 100:
        Auto_speak("La lumière de l’entrée est allumée")

    if score2 == 100:
        Auto_speak("La lumière de l’entrée est éteinte")

    if score3 == 100:
        Auto_speak("La lumière du salon est allumé")

    if score4 == 100:
        Auto_speak("La lumière du salon est éteinte")
        
    if score5 == 100:
        Auto_speak("Il est: {}".format(currentTime))
        
    if score6 == 100:
        Auto_speak(f"Il fait: {w.temperature('celsius')['temp']} degrés.")

respond.has_been_called = True
while True:
    text = listen_audio()
    if respond.has_been_called:
        respond(text)
    else:
        print("aucune commande détectée")
    #print(bool(respond(text)))