After updating the User Interface for the application, I decided to work on the api/streams.js file. The Fluid Active CPU was getting inefficiently wasted, so I decided to connect my api/streams.js to edge runtime as well as removing all duplicate streaming services. This cut down my channel # from 11,000 –> 9,000. But this clears up the speed and CPU usage while removing random duplicates.
I have manually updated the user interface and formatting of the welcome page to be easier to access. I also made sure to have the loader properly check the database status and not show the steps until the database is properly loaded in Firestore.
After the image generation was working steadily, I added it officially to the AI studio! It can also be triggered by the AI chat. One thing to keep in mind about image generation- this is the ultimate fast generation, so it can only generate simple images locally. NO complex diagrams.