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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.