```\
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```

# cross-reader (TF-IDF)

(a few notes)

## Install

    $ pip3 install flask 

    $ pip3 install nltk

You also need to download a nltk package for the tokenizer that is used, to split sentences up in lists of words.

    $ python3

    >>> import nltk
    >>> nltk.download('punkt')

## Start

Start the flask/python local server ...

    $ python3 start.py

Browse to your localhost on port 5001 ...

    > 127.0.0.1:5001


## Txt documents 

The search machine is using the index.json file to process results. 

The function 'create_index' can be called to generate this file. It uses a set of plain text files to index each word and its corresponding TFIDF value. 


## Changing txt documents

If you want to work with another set of texts, make a 'txt/' folder, add a few txt files in it, and remove the index.json file (or rename it if you want to keep it).

To generate a new index.json file: 

Remove the index.json file

    $ rm index.json

Stop and start the python server...

    ctrl + c

    $ python3 start.py