How To Use ChatGPT API In Python?

Gyan Prakash Tripathi 06 Jun, 2024
5 min read


Do you want to make your chatbots more conversational and intelligent? Then, look no further than ChatGPT by OpenAI. ChatGPT is a state-of-the-art conversational AI that can understand natural language queries and respond in a human-like manner. This article will guide you to access this powerful tool using the ChatGPT API using openAI library. Also , how to use chat gpt API in python you will practically get the information in this article .

How to use ChatGPT API in python using OpenAI library

What is GPT?

GPT stands for “Generative Pre-trained Transformer”. It’s like an intelligent computer program that understands and creates human-like language. It learns by reading a lot of text and can be used for different tasks like talking to people or helping with writing. The “Transformer” part is just a particular way. It’s built to be good at understanding and generating language.

What is ChatGPT API?

The ChatGPT API is an interface provided by OpenAI that allows developers to integrate the ChatGPT model into their own applications, software, or platforms. It enables developers to make API calls to the ChatGPT model, providing a prompt and receiving a model-generated response in return. By using the ChatGPT API, developers can leverage the conversational capabilities of ChatGPT to enhance their products, services, or applications with natural language processing and generation features.

Key Features of Chatgpt API

  1. Natural Language Processing (NLP): The API likely enables developers to integrate natural language processing capabilities into their applications, allowing them to understand and generate human-like text.
  2. Conversation Handling: For a ChatGPT API, handling multi-turn conversations would be crucial. This involves the model maintaining context and responding coherently across various user inputs.
  3. Customization: The API might offer options for fine-tuning or customization, allowing developers to adapt the model to specific use cases or industries.
  4. Scalability: A good API should be able to handle a large number of requests efficiently, ensuring smooth performance even in high-traffic scenarios.
  5. Security and Privacy: Robust security measures should be in place to protect user data and prevent unauthorized access. OpenAI is likely to emphasize privacy considerations in line with best practices.

How to use ChatGPT API?

Time needed: 10 minutes

In this section, we will discuss the necessary steps to implement ChatGPT API in Python. It’s integration with Python empowers users to access ChatGPT features, eliminating the need to visit the ChatGPT website to ask questions.

  1. Create API Key

    Generate a unique access code to enable communication and authentication with the API.

  2. Install OpenAI library

    Download and set up the necessary software package for OpenAI integration.

  3. Install other necessary libraries

    This step involves installing additional essential libraries required for the intended purpose or functionality.

  4. Set your API Key

    Enter your unique API Key to authenticate and access the API’s functionalities and resources.

  5. Define a function that can be used to get a response from ChatGPT:

    Create a function to retrieve a response from ChatGPT, enabling seamless interaction with the model.

  6. Query the API

    Retrieve data from the API by sending a request and receiving a response.

Now check all the steps in detail:

Accessing the API

The first step to accessing the ChatGPT API is creating an API key. To create an API key, follow these steps:

  1. Go to
  2. Click on the ‘Create new secret key’ button.
  3. Once you have created an API key, copy it and use it in your Python script to access the API.

Installing the openai Library

To use the ChatGPT API, you need to install the ‘openai’ library in Python. You can run the following command in Jupyter Notebook to install it:

!pip install openai

Using the ChatGPT API

Now that you have installed the ‘openai’ library and generated an API key, you are ready to use the API. Here’s how you can use it in your Python script.

1. Import the necessary libraries:

import openai

import os

import pandas as pd

import time

2. Set your API key:

openai.api_key = '<YOUR API KEY>'

3. Define a function that can be used to get a response from ChatGPT:

def get_completion(prompt, model="gpt-3.5-turbo"):

messages = [{"role": "user", "content": prompt}]

response = openai.ChatCompletion.create(





return response.choices[0].message["content"]

We are using the “gpt-3.5-turbo” model in the above code. This model uses GPT 3.5, which is a more powerful version of GPT-3. You can use any other model of your choice. To view various models available, check out this page:

4. Query the API:

prompt = "<YOUR QUERY>"

response = get_completion(prompt)


How Much Does ChatGPT API Cost?

OenAI offers the text-DaVinci-003 API, their most powerful API, at $0.02 per 1,000 tokens. Each token represents a sequence of text equivalent to approximately 750 words.

In a March 2023 blog post, OpenAI unveiled substantial cost reductions for the ChatGPT API. Leveraging system optimizations, they achieved a remarkable 90% cost decrease compared to December 2022. This significant reduction is notably reflected in the newly introduced gpt-3.5-turbo model, tailor-made for dialogue. Priced at $0.002 per 1,000 tokens, the gpt-3.5-turbo stands out as a cost-effective solution, being 10 times more economical than the original text-davinci-003 model.

These cost savings make it more affordable for developers to integrate the ChatGPT API into their applications, even with limited budgets. It presents an enticing opportunity to explore the impressive capabilities of ChatGPT.

Chatgpt API Example

Here is an Example for Chatgpt API :

import openai

openai.api_key = 'your-api-key'

response = openai.Completion.create(
  prompt="Translate the following English text to French: 'Hello, how are you?'",



Using the ChatGPT API is easy and straightforward. By following the steps outlined in this article, you can access the power of ChatGPT from your Python scripts and make your chatbots more intelligent and engaging. So why wait? Start using the ChatGPT API today and take your chatbots to the next level! In this chatgpt API tutorial, you will get to know about how to use chatgpt API also how to use chatgpt API, with that you will get to know about chatgpt API access with that you get in this article that how to use chat gpt api in python.

Frequently Asked Questions

Q1. Is there an API for ChatGPT?

A. Yes, there is an API for ChatGPT. Introduced by OpenAI, it offers developers a seamless way to incorporate the powerful capabilities of GPT into their applications, systems, or platforms. By utilizing this API, developers can easily integrate features such as text generation and language understanding, among others, into their software with ease and efficiency.

Q2. Is the ChatGPT API free?

A. The ChatGPT API has a pricing structure of approximately $0.002 per 1000 tokens, equivalent to roughly 750 words. Upon creating their OpenAI account, users are eligible for a free trial credit of $18. This trial credit allows users to explore and experience the capabilities of the ChatGPT API at no cost.

Q3. What is the ChatGPT API for coding?

A. The ChatGPT API for coding enables developers to make HTTP requests to the API endpoint, sending prompts and receiving model-generated responses programmatically. It allows seamless integration of ChatGPT’s conversational abilities into software applications.

Q4.How much does ChatGPT API cost?

ChatGPT API costs $0.002 per 1000 words (tokens). Shorter prompts and responses save money.

Frequently Asked Questions

Lorem ipsum dolor sit amet, consectetur adipiscing elit,

Responses From Readers