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"])
You can also visit the GPT-3 Python library’s documentation page for more information and additional examples: https://beta.openai.com/docs/python-sdk/gpt-3/quickstart.
0 Comments