ChatGPT API
Learn to setup and use ChatGPT API for developing AI based applications.
This lesson will explore the basics of using the ChatGPT API in Python. The ChatGPT API allows us to interact with the powerful ChatGPT language model, enabling us to generate conversational responses for various applications. In this lesson, we’ll understand how to make API requests to ChatGPT and retrieve responses using Python.
Let’s dive deep into setting up the environment for the API.
Setting up the environment
Follow the steps below to set up a Python environment and generate OpenAI’s API credentials.
- Install the Requests library using
pip install requests. - Go to the OpenAI official website and create an account (if you still need to).
- Navigate to the API section and generate an API key for the ChatGPT API.
- Make sure to store the API key securely.
Making API requests
In this section, we'll learn how to interact with the ChatGPT API by requesting and receiving responses. We'll explore the process of sending prompts to the API and receiving model-generated outputs.
Importing the required libraries:
import requestsimport json
Defining the API endpoint and headers:
API_ENDPOINT = "https://api.openai.com/v1/chat/completions"HEADERS = {"Authorization": "Bearer YOUR_API_KEY","Content-Type": "application/json"}
Note: Replace
YOUR_API_KEYwith your actual API key.
Constructing the payload:
payload = { "messages": [ {"role": "system", "content": "Thanks for helping."},{"role": "user", "content": "Who is the first president of Pakistan?"} ] }
The payload consists of a list of messages, where each message has a role (system or user) and content. The roles of the system and the user in message ...