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 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?

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 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.

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

Gyan Prakash Tripathi 09 Jan 2024