GPT-3 API meets Flask API to generates AI-powered content

 Here is an example of how you could use the GPT-3 API to create a Flask API that generates AI-powered content in Python:

import openai

from flask import Flask, request, jsonify

# Set the API key and model ID

openai.api_key = "YOUR_API_KEY"

model_id = "text-davinci-002"

# Set the maximum number of tokens and temperature

max_tokens = 256

temperature = 0.5

# Create a function to generate text based on user input

def generate_text(prompt):

    completion = openai.Completion.create(

        engine=model_id,

        prompt=prompt,

        max_tokens=max_tokens,

        temperature=temperature

    )

    return completion.text

# Create the Flask API

app = Flask(__name__)

# Create an endpoint to generate text

@app.route("/generate", methods=["POST"])

def generate():

    # Get the prompt from the request body

    prompt = request.json["prompt"]

    # Generate the text

    generated_text = generate_text(prompt)

    # Return the generated text in the response

    return jsonify({"generated_text": generated_text})

# Run the API

if __name__ == "__main__":

    app.run()

This script creates a Flask API with a single endpoint that allows the user to generate text by sending a POST request with a prompt in the request body. The API calls the generate_text function with the prompt as input and returns the generated text in the response. To use this script, you will need to substitute your own API key for YOUR_API_KEY and choose an appropriate model size and configuration.

It is important to note that this script is just an example and may need to be modified to fit your specific use case. Additionally, you will need to ensure that you have the necessary permissions and resources to access and use the GPT-3 API and to run the Flask API.