fixed some details in readme

updated readme with Milestone 4 breakdown

readme updated with new info

potential fix for git lfs

removing lfs

had to recreate the huggingface repo...

tryuing to fix this stupid issue

Merge branch 'milestone-3' of github.com:cs-gy-6613-assignments/cs-gy-6613-project-rk2546

gitattributes storage sigh

stuff

removing big bin file from lfs

trying once more...

removing models due to lfs error

pushing temp fix

moved code from test.py to main.py

readme

Finalizing project code for Milestone #3

attempting to add models

train and validation data stored. train.py now can generate models

adding bin files to lfs

Added git lfs support for large json files in the folder

adding code for training

jupyter notebook now primed for training

attempting to build script for training

cache fix

potential fix for cache_resource

pushing fix for issue with classifier and parser

attempting to fix parser issue

testing new alternative to caching and state and models and tokenizers

renamed huggingfaces space name

fixed yml for action back to main

test push

pushing update to main

Moving so that it only updates on milestone 2 branch

trying to make programmatic way to store sentiment analysis label dictionaries for each type

trying to make programmatic way to store sentiment analysis label dictionaries for each type

readme updated with huggingfaces streamlit app link

first nlp model was outputting label_0 and label_2 instead of negative/positive, so forcefully change label to convert into sentiment message

pushing all changes

added message to let users know what model they're currently running, just to be safe.

Testing model generation with dropdown and caching

Testing model generation with dropdown and caching

removing commented out code

fix for load_model caching bug

pushing code for sentiment analysis

testing new streamlit after pull

main.py now is fit for huggingspaces and streamlit

Fixed typo with main

Create sync_to_huggingface_space.yml

adding basic code for hugging face