Do you want to create your own AI voice assistant? In this tutorial, we’ll demonstrate how to use the OpenAI ChatGPT API to create an AI voice assistant in Python. Even if you’re not familiar with OpenAI, you’ll be able to follow along because we’ll go over every line of code.
How to Build an AI Voice Assistant in Python Using OpenAI’s ChatGPT API
Voice assistants have become an integral part of our daily lives, and building one from scratch can seem like a daunting task. However, with the help of OpenAI’s ChatGPT API and Python programming language, building your own AI voice assistant has never been easier.
Step 1: Setting up the Environment
Before we dive into building our AI voice assistant, we need to set up our environment. We recommend using a virtual environment to keep our dependencies organized. We will be using Python 3.7 or later, so make sure to have it installed.
Once you have created a virtual environment and activated it, you can install the necessary dependencies using the following command:
pip install openai
Step 2: Authenticating OpenAI’s API
To use OpenAI’s ChatGPT API, we need to authenticate our API key. You can obtain your API key by creating an account on OpenAI’s website.
Once you have your API key, we can authenticate it using the following Python code:
import openai_secret_manager
assert "openai" in openai_secret_manager.get_services()
secrets = openai_secret_manager.get_secret("openai")
print(secrets)
This will print your API key, which we will use to communicate with OpenAI’s API.
Step 3: Creating a Virtual Assistant
Now that we have set up our environment and authenticated our API key, we can start building our AI voice assistant.
We will be using OpenAI’s ChatGPT API to create a virtual assistant that can answer questions, provide information, and even have a conversation with us.
import openai
import re
# Authenticate with OpenAI's API
openai.api_key = secrets["api_key"]
# Define the prompt for the virtual assistant
prompt = (
"Create a virtual assistant that can answer questions, provide information, "
"and even have a conversation with you. You can ask it anything, and it will "
"do its best to give you a helpful response. "
)
# Define the function to get the virtual assistant's response
def ask_virtual_assistant(prompt, model, max_length=1000):
completions = openai.Completion.create(
engine=model,
prompt=prompt,
max_tokens=max_length,
n=1,
stop=None,
temperature=0.7,
)
message = completions.choices[0].text
message = re.sub('[^0-9a-zA-Z\n\.\?,!]+', ' ', message)
return message
In the code above, we have defined the prompt for our virtual assistant and a function to get the assistant’s response using OpenAI’s ChatGPT API.
Step 4: Testing the Virtual Assistant
Now that we have created our virtual assistant, it’s time to test it out. We can ask it questions and get responses in real-time using the following code:
while True:
user_input = input("You: ")
if user_input.lower() in ["exit", "quit"]:
print("Virtual Assistant: Goodbye!")
break
prompt += "You: " + user_input + "\nVirtual Assistant: "
response = ask_virtual_assistant(prompt, "text-davinci-002")
print("Virtual Assistant:", response)
In the code above, we have created a loop that allows us to ask our virtual assistant questions and get responses in real-time. The ask_virtual_assistant function takes in the prompt and the model to use and returns the response from our virtual assistant.
Step 5: Building a User Interface
While using the terminal to interact with our virtual assistant works, it’s not the most user-friendly interface. We can create a simple user interface using the Flask web framework.
from flask import Flask, render_template, request
app = Flask(__name__)
def home():
if request.method == "POST":
user_input = request.form.get("user_input")
prompt += "You: " + user_input + "\nVirtual Assistant: "
response = ask_virtual_assistant(prompt, "text-davinci-002")
return render_template("home.html", response=response)
return render_template("home.html")
In the code above, we have defined a Flask app with a home route that serves a simple HTML page with a form to input user queries. When the user submits a query, the form data is passed to the server, and the virtual assistant responds with the appropriate message.
Conclusion:
In this article, we have shown how to build an AI voice assistant in Python using OpenAI’s ChatGPT API. We have covered the steps involved in setting up the environment, authenticating the API key, creating a virtual assistant, testing it out, and building a simple user interface using the Flask web framework.
With the power of OpenAI’s ChatGPT API and Python programming language, the possibilities of what we can create are endless. We hope this article has been helpful and informative in your journey to build your own AI voice assistant.
