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.
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