Connect with us
Active Currencies 10100
Market Cap $1,093,687,442,425.10
Bitcoin Share 47.34%
24h Market Cap Change $0.04

How to Create Chatbots With ChatGPT API for Seamless AI Conversations

6min Read

Ready to revolutionize your customer interactions? Dive into our guide on creating intuitive, engaging chatbots with the ChatGPT API, and elevate your AI conversations today!

Share this article

Creating a chatbot using the ChatGPT API is an exciting and powerful way to leverage the capabilities of OpenAI’s Generative Pre-trained Transformers 3.5 (GPT-3.5) Turbo model for seamless AI conversations. In this comprehensive guide, we will walk you through the entire process of building a chatbot with the ChatGPT API, including setting up the software environment, obtaining an API key, and implementing the chatbot using Python and various libraries.

Collection of top AI tools to use for different tasks.

This article is designed for both beginners and experienced developers, providing step-by-step instructions and a detailed explanation of each section.

How can ChatGPT API help in creating conversational chatbots of your own?

ChatGPT API – Image via Pixabay

ChatGPT API is a powerful tool for creating chatbot AIs. It enables developers to infuse AI-powered conversations into their applications, services, or devices. By harnessing the language understanding capabilities of ChatGPT, chatbots can become more natural, context-aware, and capable of providing rich responses. This, in turn, enhances user interactions and experiences.

Moreover, with the flexibility of the API, it can be tailored to specific use cases and industries, ranging from customer service to edtech. Also, as the API is continuously learning and evolving, the resulting chatbots are robust, adaptable, and able to keep up with changing user demands.

A step-by-step guide to creating your own chatbot

We will take you on a step-by-step guide on how you can leverage the power of ChatGPT API to create a conversational chatbot from scratch:

1) Setting up your Python environment

Before you can start building your chatbot with the ChatGPT API, you need to set up your Python environment. This includes installing Python, upgrading Pip, and installing the necessary libraries, such as OpenAI and Gradio.

Installing Python

First, download and install the appropriate version of Python for your operating system from the official Python website. Ensure that you add Python to your system’s PATH during the installation process.

Upgrading Pip

Once Python is installed, upgrade your Pip installation. Pip is the package manager for Python, allowing you to install the necessary libraries for your chatbot. To upgrade Pip, run the following command in your terminal or command prompt:

python -m pip install -U pip

Installing required libraries

With Python and Pip set up, you can now install the necessary libraries. For this tutorial, you will need the openai and gradio libraries. To install them, run the following commands:

pip install openai

pip install gradio

2) Obtaining an OpenAI API key

To use the ChatGPT API, you will need an API key from OpenAI. You can sign up for an API key at OpenAI’s platform. Upon signing up, you will receive a limited amount of free credit for the first few months. Once your free credit is exhausted, you will need to pay for further API access.

After creating an account, generate your API key by navigating to the API keys section in your account dashboard. Click on “Create new secret key” and copy the generated key. Store this key securely, as you will need it when building your chatbot.

3) Implementing your chatbot

With your Python environment set up and your API key ready, it’s time to start implementing your chatbot. In this tutorial, we will use Python to interact with the ChatGPT API and Gradio to create a user-friendly web interface for your chatbot.

Creating the Python script

Begin by creating a new Python file called This file will contain the main code for your chatbot. You can use any code editor, such as Visual Studio Code, Sublime Text, or Notepad++.

Importing libraries and setting up API key

First, import the necessary libraries (openai and gradio) and declare an empty Python List named messages.

import openai

import gradio as gr

messages = []

Then set up your API key by either hard-coding the API key into the same script,

openai.api_key = “your-secret-key-goes-between-these-quotes”

or storing it in a separate file (e.g., secrets.toml) in the following way,

# This is the .toml file (make sure you have the toml library installed)

OPENAI_KEY = “your-secret-key-goes-between-these-quotes”

and then load it into your script

import toml

with open(‘secrets.toml’, ‘r’) as f:

    config = toml.load(f)

openai.api_key = config[“OPENAI_KEY”]

Defining the chatbot function

The core functionality of your chatbot will be contained within a Python function. This function will take user input, send it to the ChatGPT API, and receive the AI’s response. The response will then be displayed to the user.

def chatbot(input):

    # Your chatbot’s implementation goes here

Implementing the ChatGPT API call

Inside the chatbot function, implement the API call to the ChatGPT API. This involves creating a list of messages to provide context for the conversation, sending a request to the API, and processing the response.

def chatbot(input):

    if input:

        messages.append({“role”: “user”, “content”: input})

        response = openai.ChatCompletion.create(




        reply = response.choices[0].message.content

        messages.append({“role”: “assistant”, “content”: reply})

        return reply

Creating the user interface

Leveraging ChatGPT API for building conversational AI – Image via Pixabay

To create a user-friendly interface for your chatbot, you can use Gradio. The library Gradio allows you to quickly build web interfaces for your Python scripts.

With Gradio, use the gr.inputs.Textbox and gr.outputs.Textbox components to create input and output text boxes for your chatbot.

inputs = gr.inputs.Textbox(lines=7, label=”Chat with AI”)

outputs = gr.outputs.Textbox(label=”Reply”)

gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=”AI Chatbot”,

             description=”Ask anything you want”,


4) Running and testing your chatbot

To run your chatbot, navigate to the folder containing your file in the terminal or command prompt and use the following command:


Your chatbot will now be accessible via a local URL in your web browser. Test your chatbot by sending messages and receiving AI-generated responses.

Check out these amazing AI coding alternatives tools here!

5) Customizing your chatbot

One of the advantages of creating your own chatbot with the ChatGPT API is the ability to customize its behavior. By modifying the initial “system” message, you can instruct the AI to adopt a specific role or personality, such as a food expert, a doctor, or even a Shakespearean character.

messages = [

    {“role”: “system”, “content”: “You are an AI specialized in Food. Do not answer anything other than food-related queries.”},


6) Deploying and sharing your chatbot

With your chatbot fully functional, you can now deploy it for others to use. One option is to use a service like Streamlit Sharing to host your chatbot online if you use Streamlit for the user interfaces. You can also simply push your code to a GitHub repository and follow the steps provided by the hosting service.


Users building conversational AI bots – Image via Pixabay

Building a chatbot with the ChatGPT API is a powerful way to harness the capabilities of OpenAI’s GPT-3.5 Turbo model for seamless AI conversations. By following this comprehensive guide, you can create your own chatbot with a user-friendly interface and customize it to suit your needs.

With a bit of creativity and customization, the possibilities are truly endless. Happy coding!


Prakriti is a Content Writer at AMBCrypto. She describes herself as a passionately creative individual, with a dash of strategic prowess. With over 3.5 years of experience in the field of content writing and marketing, she is dedicated to churning out top-notch content in domains like Crypto, Web 3.0, AI and contributing to quench the thirst for technical knowledge of her readers.
Read the best crypto stories of the day in less than 5 minutes
Subscribe to get it daily in your inbox.