Welcome to this series where you will learn how to build, deploy, and sell AI apps using ChatGPT and inside. In this Part 3 video, we will start building a code bug fixing app using Python, HTML, CSS, and JavaScript. In the previous videos, we learned how to generate an API key and create our ChatGPT clone. Now, we will focus on the backend development of our code bug fixer app.
The code bug fixer app is designed to help users fix errors in their code. It features a simple interface with a button labeled ‘Code Fix’ and four input boxes where users can enter their code. The app will then analyze the code and provide a fixed version along with an explanation of the error.
To demonstrate the functionality of the app, we will use the Python print function as an example. We will intentionally introduce an error by missing the ‘T’ in the print function. When we press the ‘Code Fix’ button, the app will recognize the error and fix the code, providing the corrected version and an error message.
The code bug fixer app is powered by OpenAI’s API, specifically the ChatGPT model. We will use OpenAI’s Python library to interact with the API. The app can handle complex codes as well, making it a versatile tool for developers.
In this video, we focused on the backend development using Python. We used PyCharm as our code editor and explained the code line by line. The backend code includes setting up the API key, defining routes, constructing prompts for the API, making requests to OpenAI, and rendering the responses in the HTML template.
In the next video, we will continue building the app by adding the HTML, CSS, and JavaScript components. We will create the frontend interface and connect it with the backend functionality. Stay tuned for Part 4!
Thank you for watching Part 3 of this series. We hope you found it informative and helpful. See you in the next video!
