👩🏻‍💻🤖 SQL Interview Helper App


Summary

Back in Fall 2022 at UC San Diego, my classmates and I built a Data Science Interview helper leveraging GPT 3.5 for the final project of the course Deep Learning for Natural Language Understanding. This was right around the time ChatGPT first released, and we couldn’t have predicted what was to come. You can see the final paper we submitted here for all the details.

My portion was the SQL practice portion. I’ve taken that code and revamped it to use GPT-5 nano, and I also built a simple user interface leveraging Streamlit for users to more easily interact with the tool (an improvement from the Jupyter notebook I had submitted in 2022). Please see below for instructions on how to use my SQL Interview Helper. I’ve also uploaded a version that removes any OpenAI API usage that’s available to check out live on Streamlit linked here and below. I hope this tool helps you hone your SQL skills and prepare for any interviews!

👩🏻‍💻 Skills Used

  • Data wrangling (web scraping)
  • Prompt engineering
  • LLM integration
  • Web app building
  • Object-oriented programming

⚙️ Technologies Used

  • BeautifulSoup and request for web scraping
  • OpenAI SDK for LLM inferencing
  • Streamlit for building the web app user interface

Links

Try it in Streamlit

On this page

Set Up

First clone this repository. You’ll also need to have python3 installed on your local machine.

[Optional] Add Your OpenAI API Key

If you want to leverage OpenAI to provide feedback for your SQL queries, locate the folder in your file manager and create a file called .env. Ensure this file name is exactly .env. In this file, add your OpenAI API key following this format:

API_KEY=<YOUR OPENAI API KEY HERE>.

An OpenAI key is not necessary to use this helper. Instead of custom feedback for your SQL queries, you’ll simply see an example solution with detailed comments.

Set Up Your Virtual Environment

Once you’re in the directory of this repository, run the following commands in your terminal:

python3 -m venv env
source env/bin/activate

Install Necessary Packages

Run the commands below to install the necessary packages. If at any point you get a ` No module named ‘'` error, run `env/bin/python -m pip install`.

env/bin/python -m pip install streamlit

env/bin/python -m pip install openai

env/bin/python -m pip install bs4

env/bin/python -m pip install dotenv

env/bin/python -m pip install streamlit_code_editor

Run the SQL Interview Helper

Once set up, use the command below to run the SQL Interview Helper:

env/bin/python -m streamlit run app.py

Sources

SQL exercises are sourced from w3resource.

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