How To Use ChatGPT API In Python?

Introduction

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.

What is ChatGGPT 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.

How to use ChatGPT API?

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 https://platform.openai.com/account/api-keys.
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(

model=model,

messages=messages,

temperature=0,

)

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: https://platform.openai.com/docs/models/gpt-4

4. Query the API:

prompt = "<YOUR QUERY>"

response = get_completion(prompt)

print(response)

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 blog post from March 2023, OpenAI announced significant cost reductions for ChatGPT. Thanks to system optimizations, they were able to lower the cost by 90% compared to December 2022. The newly released gpt-3.5-turbo model, specifically designed for dialogue, reflects this cost reduction. With a $0.002 per 1,000 token, the gpt-3.5-turbo model is 10 times cheaper 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.

Conclusion

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!

Frequently Asked Questions