feat: setup number of examples per page

refactor: remove duplicate regex

fix: remove too much examples

feat: implement load collection from dotenv in webapp

fix: type in examples

feat: add examples to gradio

feat: add setting up collection from .env

feat: add presentationidx metric

feat: add links to presentations and questions in webapp

feat: configure params, add description

ci: add missing import

ci: update default params

feat: add option to copy collection contents to another collection

fix: reimplement async things to be compatible with gradio

feat: implement BestChunkMatch metric

fix: make async query storage call and use super()

style: indent prompts

feat: log n questions

doc: update cli docs

feat: add more corner cases to regex

feat: configure logging all params, move preprocessing to be a feature of a storage

feat: fix async eval to be really async

feat: implement reffering to sheet by name

feat: configure cli and implement saving eval results to gsheets

feat: configure benchmarking and add scorer pick to cli

feat: implement testing preprocessing with gsheets

feat: add async support in evaluation. partially add uploading results to gsheets

feat: add evaluation cli

feat: implement prompt preprocessing with regex

feat: implement retrieval with llm reranking

feat: add logging to evaluation

refactor: delete unused file

feat: TODO configure rag

refactor: add oop to make metrics consistent

feat: setup mlflow evaluation

feat: add async pipelines

feat: add mlflow evaluation

feat: update eda

fix: import ChatOpenAI without warnings

feat: setup metrics. add llm relevance

style: remove newlined params in functions

refactor: parameterize formatting of output

feat: implement model evaluation

refactor: move ModelConfigs up

feat: add scorers which are not weighted

feat: add Scorers: exp, step, linear

fix: import chatopenai properly?

refactor: return only text from presentation format.

feat: implement scoring model. Add notebook with testing

feat: start working on scores