[ ] add Dropdown for user specific models (we can add Whatsapp source, for example) @asimjawad OR in the same dropdown identify user specific models (couldbe same color as cache predictions)
[ ] Identify cache predictions with a specific style. @asimjawad
[ ] Add a parameter N to control how much of the prediction is based on cache, this can be, for example, every N model predictions shown one cache prediction is shown until cache is emptied. @asimjawad (see image Below)
Request Object:
[ ] use UID from Firebase Authentication in userName key @asimjawad
Server Side:
[x] re-structure cache to have model-specific and general cache (maybe a cloud function can be runned weekly to find predictions present in all model-specific cache for one user and add them to the general one, that will appear for all caches) @lopezjuanma96
[x] use UID to get the user specific cache prediction @lopezjuanma96
[x] use UID to get the user specific model list (for Dropdown) @lopezjuanma96
[x] use UID to get the user specific model prediction @lopezjuanma96
[ ] validate UID with Firebase Authentication on server? @lopezjuanma96
Response Object:
[ ] Find what to do with words that appear both in the cache and model predictions @asimjawad @lopezjuanma96.
Each user has its own cache. The dropdown should show the user customized model (Whatsapp)