A beginnerfriendly way to combine Chat GPT & Raspberry Pi.
0:00 Building
5:36 Demo Chatbot
Note: if you are using my GitHub repo, use the file chatgpt_voice.py ( not chatgpt_voice2.py)
Guide:
Microphone: https://www.amazon.com/gp/product/B01...
Create OpenAI ChatGPT API at: https://openai.com/
Terminal commands:
1. Installing libraries/dependencies
sudo apt update
sudo apt upgrade
python3 m pip install pythondotenv
pip3 install openai dotenv SpeechRecognition pyttsx3 gtts PyAudio
sudo apt install python3pyaudio flac python3espeak espeak python3dotenv
pip uninstall dotenv
pip install pythondotenv
*Change audio to HDMI
2. Python script
Github repo: https://github.com/ThomasVuNguyen/cha...
Python script:
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
mytext = 'Welcome to me'
language = 'en'
from os.path import join, dirname
import matplotlib.pyplot as plt
^ matplotlib is great for visualising data and for testing purposes but usually not needed for production
openai.api_key=''
load_dotenv()
model = 'gpt3.5turbo'
Set up the speech recognition and texttospeech engines
r = sr.Recognizer()
engine = pyttsx3.init("dummy")
voice = engine.getProperty('voices')[1]
engine.setProperty('voice', voice.id)
name = "YOUR NAME HERE"
greetings = [f"whats up master {name}",
"yeah?",
"Well, hello there, Master of Puns and Jokes how's it going today?",
f"Ahoy there, Captain {name}! How's the ship sailing?",
f"Bonjour, Monsieur {name}! Comment ça va? Wait, why the hell am I speaking French?" ]
Listen for the wake word "hey pos"
def listen_for_wake_word(source):
print("Listening for 'Hey'...")
while True:
audio = r.listen(source)
try:
text = r.recognize_google(audio)
if "hey" in text.lower():
print("Wake word detected.")
engine.say(np.random.choice(greetings))
engine.runAndWait()
listen_and_respond(source)
break
except sr.UnknownValueError:
pass
Listen for input and respond with OpenAI API
def listen_and_respond(source):
print("Listening...")
while True:
audio = r.listen(source)
try:
text = r.recognize_google(audio)
print(f"You said: {text}")
if not text:
continue
Send input to OpenAI API
response = openai.ChatCompletion.create(model="gpt3.5turbo", messages=[{"role": "user", "content": f"{text}"}])
response_text = response.choices[0].message.content
print(response_text)
#myobj = gTTS(text = response_text, lang = language, slow = False)
#myobj.save("test.wav")
#os.system("aplay test.wav")
Speak the response
print("speaking")
os.system("espeak ' "+response_text + "'")
engine.say(response_text)
engine.runAndWait()
if not audio:
listen_for_wake_word(source)
except sr.UnknownValueError:
time.sleep(2)
print("Silence found, shutting up, listening...")
listen_for_wake_word(source)
break
except sr.RequestError as e:
print(f"Could not request results; {e}")
engine.say(f"Could not request results; {e}")
engine.runAndWait()
listen_for_wake_word(source)
break
Use the default microphone as the audio source
with sr.Microphone() as source:
listen_for_wake_word(source)