In this tutorial, we will walk you through the process of building a Medical Assistant Chatbot utilizing ChatGPT and Python. To enhance the interaction experience, we will employ Gradio for creating an intuitive user interface.

Table of Contents

• Prerequisites
• Setting Up Your Python Environment
• Acquiring OpenAI API Key
• Writing the Python Script
• Running the Chatbot
• Conclusion

Prerequisites

Before we begin, make sure that you have Python 3 installed on your machine. If not, download it from the official Python website and follow the installation instructions for your operating system.

You should also create a GitHub repository to store and manage the project’s code and documentation. If you are new to GitHub, you can follow this guide on creating a new repository.

Setting Up Your Python Environment

It’s a good practice to create a virtual environment for your Python project. This helps to manage dependencies efficiently.

Creating a Virtual Environment

python -m venv chatbot-env

Activate the virtual environment:

• On Windows:

  chatbot-env\Scripts\activate
  

• On macOS and Linux:

  source chatbot-env/bin/activate
  

Installing Required Libraries

• We need to install the OpenAI library to access ChatGPT and Gradio for creating the user interface.

  pip install openai gradio
  

• Gradio allows you to rapidly create web-based user interfaces for Python models. OpenAI library helps in integrating with GPT models provided by OpenAI.

Acquiring OpenAI API Key

For interacting with ChatGPT-4, you’ll need an API key from OpenAI.

• Head to OpenAI and create an account.
• Once logged in, navigate to the API section to generate a new API key.
• Store the API key securely as it is needed to authenticate the requests to ChatGPT-4.

Writing the Python Script

Create a Python script, named medical_chatbot.py, and write the code below:

import openai
import gradio as gr

# Function to communicate with ChatGPT-4
def chat_with_gpt4(prompt):
    # Replace 'your_api_key_here' with your OpenAI API key
    openai.api_key = 'your_api_key_here'
    
    # Making a request to ChatGPT-4
    response = openai.Completion.create(engine='gpt-4', prompt=prompt, max_tokens=100)
    
    # Returning the response from ChatGPT-4
    return response.choices[0].text.strip()

# Creating the Gradio Interface
def chat_interface(prompt):
    response = chat_with_gpt4(f"Medical Assistant: {prompt}")
    return f"Medical Assistant: {response}"

iface = gr.Interface(fn=chat_interface, inputs="text", outputs="text")
iface.launch()

This script creates a simple chat interface where you can communicate with the ChatGPT-4 and get responses based on medical queries.

Running the Chatbot

After creating the script, run it using Python:

python medical_chatbot.py

This will launch a local web server and you can interact with the chatbot through the browser.

Conclusion

Congratulations! You have built a Medical Assistant Chatbot using ChatGPT and Python. The chatbot features an intuitive web interface, thanks to Gradio. As a final note, ensure that you keep your API key secure and avoid exposing it in public repositories.

References

• ChatGPT API Documentation
• Gradio Documentation
• ChatGPT in Python for Beginners - Build A Chatbot