{"id":836,"date":"2023-09-11T11:07:16","date_gmt":"2023-09-11T11:07:16","guid":{"rendered":"https:\/\/sciencesetrecherches.eu\/?p=836"},"modified":"2023-09-11T13:24:43","modified_gmt":"2023-09-11T13:24:43","slug":"code-pour-installer-vision-sous-pi","status":"publish","type":"post","link":"https:\/\/sciencesetrecherches.eu\/?p=836","title":{"rendered":"Code pour installer “Vision” sous Pi"},"content":{"rendered":"\n
Skill<\/span><\/div>
<\/div><\/div>\n\n\n\n

Pour celles et ceux qui souhaitent discuter avec VISON (Marvel) voici le code source \u00e0 installer sus raspberry Pi apr\u00e8s avoir installer Python.<\/p>\n\n\n\n

Ins\u00e9rer le code dans un fichier que vous aurez appel\u00e9 vision.py puis taper la commande suivante :<\/p>\n\n\n\n

python3 vision.py<\/h1>\n\n\n\n
Skill<\/span><\/div>
<\/div>
50%<\/div><\/div><\/div>\n\n\n\n

import os
import openai
from dotenv import load_dotenv
import time
import speech_recognition as sr
import pyttsx3
import numpy as np
from gtts import gTTS<\/p>\n\n\n\n

language = ‘fr’<\/p>\n\n\n\n

openai.api_key = ‘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’
load_dotenv()
model = ‘gpt-3.5-turbo’<\/p>\n\n\n\n

Set up the speech recognition and text-to-speech engines<\/h1>\n\n\n\n

r = sr.Recognizer()
engine = pyttsx3.init(“dummy”)
voice = engine.getProperty(‘voices’)[1] # Ajustez cet indice pour s\u00e9lectionner la voix fran\u00e7aise
engine.setProperty(‘voice’, voice.id)<\/p>\n\n\n\n

def listen_for_wake_word(source):
print(“\u00c0 l’\u00e9coute de ‘Vision’\u2026”)<\/p>\n\n\n\n

while True:\n    audio = r.listen(source)\n    try:\n        text = r.recognize_google(audio, language=\"fr\")\n        if \"vision\" in text.lower():\n            print(\"Mot d'activation d\u00e9tect\u00e9.\")\n            engine.say(\"Oui azais je suis \u00e0 ta disposition comment puis-je t'aider?\")\n            engine.runAndWait()\n            listen_and_respond(source)\n            break\n    except sr.UnknownValueError:\n        pass<\/code><\/pre>\n\n\n\n
def listen_and_respond(source):
print(“\u00c0 l’\u00e9coute\u2026”)
while True:
audio = r.listen(source)
try:
text = r.recognize_google(audio, language=”fr”)
print(f”Vous avez dit: {text}”)
if not text:
continue
# Send input to OpenAI API
response = openai.ChatCompletion.create(
model=”gpt-3.5-turbo”,
messages=[
{“role”: “user”, “content”: f”[En fran\u00e7ais s’il vous pla\u00eet] {text}”}
]
)
response_text = response.choices[0].message.content
print(response_text)
print(“G\u00e9n\u00e9ration audio”)
myobj = gTTS(text=response_text, lang=language, slow=False)
myobj.save(“response.mp3”)
print(“Lecture audio”)
os.system(“vlc response.mp3”)
# Speak the response
print(“Lecture audio”)
engine.say(response_text)
engine.runAndWait()
if not audio:
listen_for_wake_word(source)
except sr.UnknownValueError:
time.sleep(2)
print(“Silence d\u00e9tect\u00e9, j’arr\u00eate de parler, j’\u00e9coute\u2026”)
listen_for_wake_word(source)
break
except sr.RequestError as e:
print(f”Erreur lors de la demande de r\u00e9sultat; {e}”)
engine.say(f”Erreur lors de la demande de r\u00e9sultat; {e}”)
engine.runAndWait()
listen_for_wake_word(source)
break<\/p>\n\n\n\n
Use the default microphone as the audio source<\/h1>\n\n\n\n
with sr.Microphone() as source:
listen_for_wake_word(source)<\/p>\n\n\n\n