Text Generation with Python and GPT-2/GPT-3

Table of Contents

  1. Introduction
  2. Prerequisites
  3. Setting up OpenAI API
  4. Generating Text with GPT-2
  5. Generating Text with GPT-3
  6. Conclusion

Introduction

In this tutorial, we will explore how to generate text using Python and OpenAI’s GPT-2 and GPT-3 models. GPT-2 and GPT-3 are language models developed by OpenAI that are capable of generating human-like text based on a given prompt. By the end of this tutorial, you will be able to generate text using both GPT-2 and GPT-3 models and understand the differences between them.

Prerequisites

To follow along with this tutorial, you should have a basic understanding of Python programming language and have Python installed on your system. Additionally, you will need an OpenAI API key to interact with the models. If you don’t have an API key, you can sign up for a free account on the OpenAI website and request access to the API.

Setting up OpenAI API

  1. Install the openai Python package by running the following command in your terminal: 
     pip install openai
  2. Once the package is installed, you can set up your API key by creating a new Python script and importing the openai module: 
     import openai
	
 openai.api_key = 'YOUR_API_KEY'

    Replace 'YOUR_API_KEY' with your actual API key.

Now you are ready to start generating text using GPT-2 and GPT-3 models.

Generating Text with GPT-2

GPT-2 is a powerful language model capable of generating coherent and contextually relevant text. To generate text with GPT-2, follow these steps:

  1. Import the openai module and set up your API key as shown above.

  2. Define your prompt. The prompt is the initial text or context on which GPT-2 will generate more text. You can provide a single sentence or multiple paragraphs as your prompt.

  3. Use the openai.Completion.create() method to generate text. Pass your prompt as the value for the prompt parameter. Optionally, you can also set the model parameter to 'text-davinci-003' to specify the GPT-2 model.

Here’s an example code snippet that demonstrates generating text using GPT-2: ```python import openai

openai.api_key = 'YOUR_API_KEY'

prompt = 'Once upon a time'
response = openai.Completion.create(
  engine='text-davinci-003',
  prompt=prompt,
  max_tokens=100  # Specify the maximum number of tokens in the generated text
)

generated_text = response.choices[0].text
print(generated_text)
``` This code snippet generates text starting from the prompt `'Once upon a time'` using the GPT-2 model. The generated text is stored in the `generated_text` variable and printed to the console.

Generating Text with GPT-3

GPT-3 is the latest version of OpenAI’s language model, which is even more powerful and capable of generating highly coherent and contextually relevant text. To generate text with GPT-3, you will need to follow these steps:

  1. Import the openai module and set up your API key as shown above.

  2. Define your prompt. Similar to GPT-2, the prompt is the initial text or context on which GPT-3 will generate additional text.

  3. Use the openai.Completion.create() method to generate text. Pass your prompt as the value for the prompt parameter. Optionally, you may set the model parameter to 'text-davinci-004' or 'text-davinci-xl-003' to specify the GPT-3 models.

Here’s an example code snippet that demonstrates generating text using GPT-3: ```python import openai

openai.api_key = 'YOUR_API_KEY'

prompt = 'Once upon a time'
response = openai.Completion.create(
  engine='text-davinci-004',
  prompt=prompt,
  max_tokens=100  # Specify the maximum number of tokens in the generated text
)

generated_text = response.choices[0].text
print(generated_text)
``` This code snippet generates text starting from the prompt `'Once upon a time'` using the GPT-3 model. The generated text is stored in the `generated_text` variable and printed to the console.

Conclusion

In this tutorial, we explored text generation using Python and OpenAI’s GPT-2 and GPT-3 models. We covered how to set up the OpenAI API, generate text using GPT-2, and generate text using GPT-3. By following the steps outlined in this tutorial, you should be able to generate text using these powerful language models. Remember to experiment and explore different prompts and model configurations to achieve the desired results.

Happy text generation!

Published:

Related Articles