Day 4 of 100 Days Coding Challenge: Python
When code explains code, what will happen? Will that be interesting? I got curious. Today’s project? Build an AI-powered Code Explainer App in Python. For beginners. By a beginner. Using AI. What could possibly go wrong?
So here’s the thing: lately I’ve been Googling lines of Python like a tired detective chasing the same suspect down a dozen dark alleys. “What does this do?” “Why does nothing work?” “Is this syntax broken or am I?” Eventually, I had a minor revelation: if I already have Python open, why not make it explain itself? Like a moody teenager giving you their diary—with just enough sarcasm to sting.
Thus, the Code Explainer App was born. It’s part translator, part therapist, part mind-reader. A digital sidekick for all the times you stare at someone else’s code like it’s an ancient spell book and you forgot Latin.
Today’s Motivation / Challenge
The goal here wasn’t just to make another tool—it was to create something that helps me (and anyone else equally bewildered) learn faster. We all reach that moment where we copy and paste something, then realize we don’t understand half of it. This project turns that pain into progress by letting AI break down unfamiliar code, line by line, like a patient tutor who doesn’t judge you for asking the same question four different ways.
Purpose of the Code (Object)
This app takes a chunk of Python code, sends it to the OpenAI API, and asks the AI to explain each line in plain English. It’s a bridge between “What the heck is this?” and “Ohhhh, I get it now.” Paste the code in, press Enter, and receive a thoughtful explanation. Ideally. Unless something breaks. Which is also a learning experience.
AI Prompt:
Write a Python program that takes user input (a code snippet), sends it to OpenAI’s GPT model, and returns a line-by-line explanation. Use the post-1.0.0 version of the OpenAI Python library.
Functions & Features
- Accepts multiple lines of Python code from the user
- Sends the code to OpenAI’s GPT-3.5 or GPT-4 for explanation
- Returns a readable, line-by-line breakdown
- Keeps running until the user says “enough.”
Requirements / Setup
Python 3.10 or higher
OpenAI Python library (version 1.0.0 or higher):
pip install openai
Minimal Code Sample
import openai
client = openai.OpenAI(api_key=”your_key_here”)
response = client.chat.completions.create(
model=”gpt-3.5-turbo”,
messages=[{“role”: “user”, “content”: “Explain this code line by line:\n\n” + user_code}]
)
Sends user-submitted code to the OpenAI API and asks for an explanation.
Notes / Lessons Learned
I saved the API key in three different places: on my laptop, in a notebook, and possibly emotionally tattooed somewhere on my soul. Then I fired up the terminal and installed the OpenAI library, as if I knew what I was doing. The plan was simple: send a chunk of code to the API, get a clear explanation back, and ride off into the sunset with newfound knowledge.
First attempt? A glorious failure. The code just sat there, unimpressed, like a teacher who knows you didn’t do the reading. It turns out I was using the brand-new OpenAI library (post-1.0.0), but I was following instructions written when dinosaurs roamed Stack Overflow. Basically, I tried to plug a USB-C into a cassette player.
Once I switched to the correct syntax for the newer version, everything fell into place—and the AI started responding. So when code explains code, it was helpfu. Almost smugly.
Optional Ideas for Expansion
- Add support for uploading .py files instead of pasting code.
- Let users choose between a summary and a detailed explanation.s
- Automatically save the explanation to a text file for future reference.