fix: now the csv parsing ignores comma delimiters if they are inside quotes, to ensure all context is parsed correctly

fix: minor typos

Merge remote-tracking branch 'origin/main'

feat: remove f1 from csv download

feat: changed maxTokens for cloud and on-device from 500 to 50

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

feat: disable thinking for qwen model

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

feat: enhance download of csv after experiment completion

fix: re-add reload dataset method to scheduler

chore: added comments

feat: added stripping method for thinking tokens, increased maxNewTokens to 500, set enableThinking to false in onDeviceService

fix: made csv parsing more robust, changed prompt

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

chore: renamed interarrival time method

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

fix: changed prompt

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

fix: changed the prompt to include the passage/context as well and moved the full prompt to scheduler.js file

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: fix prediction output object for evaluation

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 on device model parameter and logging outputs

xenova transformers implemented

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