Skip to content

How To Use ChatGPT API In Python

  • by


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.

How To use ChatGPT API with Python

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
  2. Install OpenAI library
  3. Install other necessary libraries
  4. Set your API Key
  5. Define a function that can be used to get a response from ChatGPT:
  6. Query the 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)

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!

Leave a Reply

Your email address will not be published. Required fields are marked *