Building a personal AI assistant is easier than ever with tools like GPT models and Flask. In this post, we will walk you through creating a web-based assistant that can understand and respond to user inputs in a conversational manner.

Step 1: Setting Up Your Environment

To start, ensure you have Python installed and set up a virtual environment. You will need Flask for the web framework and OpenAI's GPT API to handle natural language processing.

pip install flask openai

Step 2: Creating the Flask App

Create a new Python file and set up a basic Flask server:

from flask import Flask, request, render_template
import openai

app = Flask(__name__)

@app.route("/", methods=["GET", "POST"])
def index():
    if request.method == "POST":
        user_input = request.form["input"]
        response = get_gpt_response(user_input)
        return render_template("index.html", response=response)
    return render_template("index.html")

if __name__ == "__main__":
    app.run(debug=True)

Step 3: Connecting to GPT

Next, set up your function to interact with the GPT API. You will need your API key from OpenAI:

import openai

def get_gpt_response(prompt):
    openai.api_key = "YOUR_API_KEY"
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=150
    )
    return response["choices"][0]["text"].strip()

Key Features of the AI Assistant:

• Understands natural language queries

• Provides informative responses in real-time

• Customizable to suit various use cases

Final Thoughts

By following this guide, you can create a personal AI assistant that leverages the power of GPT and Flask. The possibilities are endless, from chatbots to virtual tutors and more.