Open AI API Setup and Usage

OpenAI is an organization that has made significant strides in the field of artificial intelligence and machine learning. With the OpenAI API, developers can now access state-of-the-art AI models and use them to develop a wide range of applications.

In this article, we will explore how to set up and use the OpenAI API with Python, a popular programming language that is widely used for machine learning and data analysis. By the end of this tutorial, you will have a solid understanding of how to integrate OpenAI’s cutting-edge technology into your Python projects, enabling you to create sophisticated AI-driven applications that can deliver powerful insights and solutions.

  1. Visit https://openai.com/blog/openai-api and click on Signup. Complete the signup process.
  2. Create API Key by visiting https://platform.openai.com/account/api-keys
    • You can only access it once so make sure to copy and save the API key somewhere safe.
  3. Install OpenAI python package: pip install openai
  4. Python Function to use the completion model:
import openai

def get_response(prompt, api_key, model="text-davinci-003", max_tokens=2048):
    openai.api_key = api_key
    response = openai.Completion.create(
        model=model,
        prompt=prompt,
        max_tokens=max_tokens,
        top_p=1.0,
        frequency_penalty=0.8,
        presence_penalty=0.8,
        temperature=0.0
    )
    return response["choices"][0]["text"])
  • Setting temperature=0.0 make sure that we get a deterministic response. This is important if you wish to have the same response from API every time you provide the same prompt as input.

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