In this article, I will show you how to access GPT3 API in python and how to use it for text generation.
To get your OpenAI key, go to https://.openai.com/ and create an account by entering in your email address and password.
Once you have registered for an account, you will receive a confirmation email from OpenAI containing information about what to do next—this is when it’s time for the next step!
This article assumes that you are familiar with Python and have a working installation of Python. If you’re not sure if you have a working Python environment, check out this website.
Once you have confirmed that you have a working python installation, follow below steps to install openai python library:
Open your command line or terminal app and run the below command:
simply run the following command:
!pip install openai
Now we will make use of the openai library for GPT-3 which contains various tools for interacting with GPT-3 including loading models, parsing data and generating possible responses from a given model.
To begin using this library, type below in a python console or in a python file:
Here is the python code to call the GPT-3 API:
import os import openai openai.api_key = os.getenv("OPENAI_API_KEY") response = openai.Completion.create( engine="text-davinci-002", prompt="Write an extremely long, detailed answer to \"How to Cut Corners Using CSS Mask and Clip Path Properties\". Use HTML formatting.", temperature=0.7, max_tokens=709, top_p=1, frequency_penalty=0, presence_penalty=0 ) print(response.choices.text)
The code above is a Python 3 script that
- uses the OpenAI API to generate a response to the prompt “Write an extremely long, detailed answer to "How to Cut Corners Using CSS Mask and Clip Path Properties". Use HTML formatting.”.
- The response is generated using the text-davinci-002 engine, which is a GPT-3 AI model.
- The response is generated with a temperature of 0.7, a maximum of 709 tokens, a top_p of 1, a frequency_penalty of 0, and a presence_penalty of 0.
- And finally the response is then printed to the console.
Now you’re ready to call the GPT-3 API and marvel at what it can do! Taking these steps will only make the process easier, allowing you to generate text with the push of a button.
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