How To Use ChatGPT API in Python?
In less than a year, ChatGPT has become a global phenomenon. As per research, as much as 10% of global employees have used ChatGPT in their work environment. The popular language model from OpenAI powers users with a human-like conversation, indistinguishable in most stances.
The infographic below offers insights into using ChatGPT among global work environments.
The diverse applications of the conversational tool are leading business enterprises to integrate ChatGPT into existing websites and applications. Integrating ChatGPT in Python web apps allows you to upgrade UX with robust technology. This article discusses how to integrate ChatGPT in Python applications.
What is ChatGPT API?
ChatGPT API is the interface for integrating the language model into websites, apps, and software platforms. The ChatGPT API is officially available over the OpenAI platform. The API lets the developer make calls to the ChatGPT model and retrieve responses for the users.
Businesses can leverage the ChatGPT API to upgrade the conversational nature of their websites and apps.
6 Simple Steps to Use ChatGPT API
This section gives you an outlook on how to upgrade existing applications of Python in ChatGPT for up-to-date features.
Step 1 – Generate API Key
You need to develop a unique access code to ensure communication and authentication with the application program interface.
Do the following to generate the API key.
>Navigate to https://platform.openai.com/account/api-keys
>Navigate to and click the ‘Create new secret key’ button
>This generates your API Key. Copy it and use it in the Python script for accessing the API.
Step 2 – Install the OpenAI library
Upgrade your existing application with software packages necessary for OpenAI integration. Simply install the “open” library in the current Python code. In case you are using the Jupyter Notebook framework, you can deploy the following command to install it.
!pip install openai
Step 3 – Install Additional Libraries
Based on how you want to use the ChatGPT platform, you need to update the software code with additional libraries.
import openai import os import pandas as pd import time
Step 4 – Set API Key
Use the API key for authentication and accessing the API’s functionalities and resources.
openai.api_key = '<YOUR API KEY>'
Step 5 – Deploy Function for Getting Response from ChatGPT
You need to develop a function that retrieves responses from ChatGPT.
The following function is an example “get-3.5-turbo” model. This model is based on ChatGPT 3.5, a more advanced version of GPT-3. Based on the specific model you use, customize the function accordingly.
def get_completion(prompt, model="gpt-3.5-turbo"): messages = [{"role": "user," "content": prompt}] response = open.ChatCompletion.create( model=model, messages=messages, temperature=0, ) return response.choices[0].message["content"]
Step 6 – Query the API
Now retrieve data from the ChatGPT API. This step requires sending requests and receiving responses from the API.
prompt = "<YOUR QUERY>" response = get_completion(prompt) print(response)
Wrapping Up
Deploying ChatGPT API using Python script lets you enhance existing software applications efficiently. The above steps assist you with the seamless integration of the ChatGPT in Python scripts. Leveraging ChatGPT in your chatbots makes your software application smarter and offers a more connected experience to the app users. At JS Panther, we have skilled Python developers for hire who ensure seamless integration of the AI technology in your application.
Frequently Asked Questions
Q1: Is there an API for ChatGPT?
A 1: Yes, the Open AI platform offers an official API for ChatGPT integration. Using this OpenAI API, web developers can easily integrate powerful communication capabilities into existing software applications.
Q2: Is the ChatGPT API free?
A2: No. The ChatGPT API offers a pricing structure that charges you $0.002 for 1000 tokens, approximately equivalent to 750 words. However, the trial run is free for the product on new OpenAI accounts. You are eligible for a free trial credit of $18.
Q3: What is ChatGPT used for?
A3: ChatGPT is an AI chatbot that leverages natural language processing to provide users with a humanlike conversational dialogue. The advanced language model responds to users’ queries and composes diverse written content. You can use it for writing articles, social media posts, code, and emails.
Q4: What are the use cases of ChatGPT?
A4: Following are the standard use cases of ChatGPT
1. Virtual Assistant
2. Customer Support
3. Content Generation
4. Language Translation
5. Tutoring and Education
6. Coding Help
How can I hire the right Python developer?
Skilled Python developers have multiple years of experience in development projects. Look for relevant experience and project warranty while hiring Python developers. It’s also advisable to verify their earlier project or check clients’ feedback for in-depth knowledge of the quality they deliver. There are various things you need to know before hiring Python developers, like your project size, what you want to develop, and the technology stack you wish to use in the development project.