Python Tutorial for The (New) ChatGPT API

2 min readMar 15


The ChatGPT API is a powerful tool that allows developers to integrate natural language processing capabilities into their applications. In this tutorial, we will explore how to use the ChatGPT API with Python.


Before we get started, you will need to have the following:

  • A ChatGPT API key
  • Python 3.x installed on your machine
  • The requests library installed (you can install it using pip)

Getting Started

To get started, let’s import the requests library and set up our API key:

import requests

API_KEY = ‘your-api-key-here’

Next, let’s define a function that will make a request to the ChatGPT API and return the response:

def get_chatbot_response(prompt):
url = ‘'
headers = {
‘Content-Type’: ‘application/json’,
‘Authorization’: f’Bearer {API_KEY}’
data = {
‘prompt’: prompt,
‘max_tokens’: 50,
‘temperature’: 0.7
response =, headers=headers, json=data)
if response.status_code == 200:
return response.json()[‘choices’][0][‘text’]
return ‘Error’

In this function, we define the URL of the ChatGPT API endpoint, as well as the headers and data that will be sent with the request. We then make a POST request to the endpoint using the requests library and check the response status code. If the status code is 200, we return the response text.

Using the ChatGPT API

Now that we have our function set up, let’s use it to generate responses from the ChatGPT API. Here’s an example:

prompt = ‘What is the meaning of life?’
response = get_chatbot_response(prompt)

In this example, we pass the prompt “What is the meaning of life?” to our get_chatbot_response function and print the response.


In this tutorial, we explored how to use the ChatGPT API with Python. We defined a function that makes a request to the ChatGPT API endpoint and returns the response. We then used this function to generate responses from the ChatGPT API. With this knowledge, you can start building your own natural language processing applications using the ChatGPT API and Python.




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