ELI5

changed the main file into 2 files, one for input and output in the main.py and backend which turns user query into an answer. A day later I realized I can not use html and native python together, so I had to implement Flask learning how that worked, finally i added two html files one for displaying answers and one for input of query.

Set up a Hack Club AI API key to start using AI models for generating responses. Once that was set up, I realized I had to use GitHub, I connected the repository directly to VScode using Git to Commit and Push to the repository, then set up user’s input and output of the messages reading documentation from hack club’s AI documents. Then, added constraints and to the input so the AI’s answer is reliable and repeatable. Finally realized that i cant directly use my API key of the repository so learnt how to use env files and the dotenv package of python. Next time, I will try to use different AI models to see what AI has the best and most accurate Answers.