removed debugging messages now that search is working

making sure all the correct arguments are there in the function calls

pass IDF DTM to the function factory

the factory has to actually return the function

corrected the name of the fasttext model binary

send row names to be included in the results

switched to the new search functions using sentence-transformers

added search URL to the README

renamed modules that do the search

changes TF-IDF search to cosine similarity from dot product

changes TF-IDF search to cosine similarity from dot product

switch tfidf search to use file list saved by joblib

reshape with shape, not size

reduce files list to 1-d

testing separate query methods

use block_embeddings_df from the compressed serialized parquet file

copied encode function directly into search_embeddings.py

need to specify path to encode because this is a hacky prototype

use a pre-serialized dtm_svd

allow pickle for deserializing data

load the DTM and file list from serialized versions

don't need to install glob

added scripts for testing inference