Deployed the whole thing onto Render to bypass local installs.
Deployed the whole thing onto Render to bypass local installs.
Going to ship now :) I hope someone can find this helpful!
Finished up unit tests for labeller, ai qc and human qc. Also finished the ai qc and human qc endpoints + added human qc html page :)
The image attached here is also a recent addition, the main index.html page showcasing a brief intro of this project, the pipeline, and links to the three html pages.
Also major development: added a way for others to test my project with/without API keys for Gemini or Turso (database), and updated README with implementation steps; will ship soon yayy
Updated the readme, working on a new ānotion-likeā app (utilizes notion api), fixed some stylistic issues, added a noticeboard for important info on the go.
-Added fullscreen option
-Added new app :3 video archive! embeds yt videos for a curated feed!
The requirements for webOS 1 are met already so Iāll ship this first and add more features later on!
MADE WINDOWS RESIZABLEE
Made some stylistic changes!
-Added my programmerās signature to the middle of the top bar
-Changed the design of windows
-Added app icons as if a standard desktop to open the windows
and ofc
-Added to my about me.
My social links are also in :)
Added unit tests, restyled both admin and labeller html pages. Started on AI logic
Added some windows to test out styles and top bar. Windows are draggable and closable :) I want to make a fairytale themed OS so letās see how this goesā¦
Added a text area for labellers to input their names, and updated the āsubmit labelsā button so that it now collects labels from ticked checkboxes and other descriptive labels, and sends them to the database.
So now the labellerās name and the labels can be recorded in the database! Next step is to integrate AI for checking.
Admin page (and connected to backend) done, where āadminsā insert urls to be labelled as requested by clients and identify possible categories all urls might fall under, and submit urls and categories to the database. Labeller page partially done, where labellers āget a new taskā that renders a url and lists categories as checkboxes to be ticked off and an additional textbox for any additional identifiable labels. To-do next: connect label submission buttons to endpoint in backend.