feat: add spam or ham dataset for selection

feat: added performance model parameters to UI instead of hardcoding

feat: added jseq scheduler to javascript app

fix: minor typos

feat: remove f1 from csv download

feat: add dataset item id to logs and csv result exports

feat: enhance download of csv after experiment completion

feat: wait until all items of experiment are run to download stats, split downloads in stats and raw data

download flickering (#1)

feat: add granit models and finish model selection

feat: add option to specify model quantization in on device model selection

Merge branch 'main' of https://github.com/fabianHueni/UNIBE_MSGAI_HS25_Project

feat: added a button to start experiments with 1000 requests

feat: add queues for on device and cloud processing to measure queue time

feat: track queueing time, inference time, and total latency separately. the timestamp for start inference should be taken somewhere else

Merge branch 'main' of https://github.com/fabianHueni/UNIBE_MSGAI_HS25_Project

feat: added additional models

fix: correct shown device stats and add message template to on device service

feat: implement CSV download and converted logs to a table

feat: optimize console logging and fix import of transfromer.js library

feat: implement OpenRouter as cloud model provider, optimize UI, fix some issues

feat: model download progress bar and added metrics f1WordLevel, Rouge1, TotalTokens, TokensPerSecond

feat: add dataset, adjust scheduler to run full dataset, implement statistic download, add model load button

feat: setup base code structure for pipeline with todos