Preface – This post is part of the ChatGPT series.

To integrate ChatGPT in Python, you can use the open-source GPT-3 Python library provided by OpenAI. This library allows you to easily access the GPT-3 API from within your Python code, allowing you to integrate GPT-3 functionality into your Python applications.

Here is an example of how to use the GPT-3 Python library to integrate GPT-3 into a Python application:

# Import the GPT-3 Python library
import openai_secret_manager
import openai
# Set up the GPT-3 API client
assert "gpt3" in openai_secret_manager.get_services()
secrets = openai_secret_manager.get_secrets("gpt3")
openai.api_key = secrets["api_key"]
# Use the GPT-3 API client to generate text
response = openai.Completion.create(
    engine="davinci",
    prompt="Hello, world!",
    temperature=0.5,
    max_tokens=1024,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0,
)
# Print the generated text
print(response["choices"][0]["text"])