How to Develop Your Own ChatGPT Clone with OpenAI API and Gradio in Python: A Step-by-Step Tutorial

Introduction

As technology advances, the demand for intelligent conversational systems is on the rise. Popular natural language models such as GPT-2 and GPT-3 by OpenAI have already set a benchmark in the field of conversational AI. But what if you want to build your own chatbot with similar capabilities? In this tutorial, we will guide you through the process of building a ChatGPT clone using OpenAI API and Gradio in Python.

Prerequisites

• Basic knowledge of Python programming language
• An OpenAI account and API key
• VS Code or any other compatible IDE

Building the ChatGPT Clone

Step 1: Installing Dependencies

Before we start building the ChatGPT clone, we need to install the following Python libraries:

• OpenAI
• Gradio

To install these packages, open your terminal or command prompt and type in the following commands:

pip install openai
pip install gradio

Step 2: Setting Up the Environment

To begin with, we need to import the OpenAI and Gradio libraries. Open a new Python file in your IDE and type in the following code:

import openai
import gradio as gr

Now, let’s set up our OpenAI API Key by entering the following code:

openai.api_key = "YOUR_API_KEY"

Replace “YOUR_API_KEY” with your OpenAI API Key.

Step 3: Creating the ChatGPT Clone

We will be using the TextDaVinci03 model by OpenAI to build our ChatGPT clone.

model = "text-davinci-002"

Next, let’s create a function called generate_text that takes in a prompt and generates a response using the TextDaVinci03 model.

def generate_text(prompt):
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        max_tokens=100
    )

    message = response.choices[0].text.strip()
    return message

Step 4: Creating the User Interface with Gradio

We will be using Gradio to create the user interface for our ChatGPT clone. Gradio is a Python library that helps you create a full-stack machine learning application interface with just a few lines of code.

Let’s create an array of prompts with corresponding examples for our chatbot. This will help our model understand the context of the conversation.

prompts = [
    ["Hi, how are you?", "I'm doing great! How about you?"],
    ["What's the weather like today?", "It's sunny and warm today."],
    ["Tell me a joke", "Why don't scientists trust atoms? Because they make up everything."]
]

Now, let’s create an interface using Gradio’s Interface class.

iface = gr.Interface(
    fn=generate_text,
    inputs=gr.inputs.Textbox(prompt="Enter your message here..."),
    outputs="text",
    examples=prompts,
    title="ChatGPT Clone",
    description="A simple ChatGPT clone.",
    allow_flagging=False
)

iface.launch()

Step 5: Testing the ChatGPT Clone

Congratulations! You have successfully built your own ChatGPT clone using OpenAI API and Gradio. Test it out by running the code and typing in some prompts. You should see the model generate appropriate responses.

FAQs

1. What is Gradio?
   Gradio is a Python library that helps you create a full-stack machine learning application interface with just a few lines of code.
2. What is OpenAI API?
   OpenAI API is a platform that provides access to pre-trained AI models such as GPT-2 and GPT-3.
3. What is TextDaVinci03 model?
   TextDaVinci03 is a pre-trained language model by OpenAI with higher quality and longer output capability.
4. Can I use other models for my ChatGPT clone?
   Yes, you can use other pre-trained models provided by OpenAI or any other natural language processing platform.
5. Is it necessary to have an OpenAI account and API key to build the ChatGPT clone?
   Yes, you need to have an OpenAI account and API key to access their pre-trained models.