if else repeating

[Frankduc]

i learned i new way to detect words but i cant figure out how to make the right answer come out in the if statement.
its just repeating the 3 statements. Its seems like its only seeing the last phrase_F.

from speech_recognition import Recognizer, Microphone
from gtts import gTTS
import subprocess
import time
from fuzzywuzzy import fuzz
from fuzzywuzzy import process

recognizer = Recognizer()

# On enregistre le son

with Microphone() as source:
    print("Dite un fruit ou un légume 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 !")
    
# Reconnaissance de l'audio

try:
    print("Reconnaissance du texte...")
    text = recognizer.recognize_google(
            recorded_audio, 
            language="fr-FR"
        )
    print("Vous avez dit : {}".format(text))
        
        
    phrase_O = [u"Ouvrir la lumière de l’entrée", u"Ouvrir lumière entrée?", u"Ouvrir lumièrel’entrée"]
    maPhrase = text
    phrase_A = [u"Allumer la lumière de l’entrée", u"Allumer lumière entrée?", u"Allumer lumièrel’entrée"]
    maPhrase_A = text
    phrase_F = [u"Fermer la lumière de l’entrée", u"Fermer lumière entrée?", u"Fermer lumièrel’entrée"]
    maPhrase_F = text

    (modele, score) = process.extractOne(maPhrase, phrase_O)
    (modele, score) = process.extractOne(maPhrase_A, phrase_A)
    (modele, score) = process.extractOne(maPhrase_F, phrase_F)
    print(modele, score)
    ph = score
    def Auto_reponse():
        tts.save('out.mp3')
        cmd = ['mpg321', '-q', 'out.mp3']
        subprocess.call(cmd)
            
    if ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est allumée", lang="fr")
        Auto_reponse()
    
    elif ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est  pas allumée", lang="fr")
        Auto_reponse()
        
    elif ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est éteinte", lang="fr")
        Auto_reponse()
        
    
     

    
    #if found_word:
        #speech()
    #else:
        #speech2()
        
        
except Exception as ex:
    print(ex)
        

[deanhystad]

Why are you defining a function inside a try/else. Is it to avoid passing ph as a parameter? That is poor practice.

This code makes no sense at all:

    (modele, score) = process.extractOne(maPhrase, phrase_O)
    (modele, score) = process.extractOne(maPhrase_A, phrase_A)
    (modele, score) = process.extractOne(maPhrase_F, phrase_F)

model and score are assigned the results of processing phrase_F. Results for phrase_O and phrase_A are discarded.
This is equally nonsensical.

    if ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est allumée", lang="fr")
        Auto_reponse()
     
    elif ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est  pas allumée", lang="fr")
        Auto_reponse()
         
    elif ph >= 90:
        tts = gTTS(u"La lumière de l’entrée est éteinte", lang="fr")
        Auto_reponse()

All three comparisons are the same. You have two possible responses. Either

        tts = gTTS(u"La lumière de l’entrée est allumée", lang="fr")
        Auto_reponse()

or nothing at all.

Try writing a program that works for only one phrase and post that. Once that is cleaned up and working properly you can expand out into processing multiple phrases.

[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)))