chatbook

Python-based summary and keyword extractor and question answering system about a document's content

##INSTALL See the requirements.txt file if installing directly. To make an editable package locally, use

pip3 install -e .

To embed in a system as is, from pypi.org use

pip3 install -U chatbook

##USAGE:

This lightweight version of the doctalk package assumes that files have been pre-processesed by doctalk from .txt or .pdf files into .json files. With minimal dependencies (networkx and nltk) and memory requeirements this package is planned to be exposed as a Web App or as an Alexa skill.

python3 -i

>>> from chatbook.talk import run_with
>>> run_with(fname)

This activates dialog about document in <fname>.txt with questions in <fname>_quests.txt

See some examples at :

https://github.com/ptarau/chatbook , where, after installing the system, you can run

python3 -i tests.py
>>> go()

To play with various parameter settings, edit the chatbook/params.py file.

Web App

To use the included ``docbotWeb app, after installingFlask``` and ```waitress```, run the ```app.py``` file in directory ```docbot``` with ```python3 app.py```.

The docbot uses a JSON-based API, documented in chatbook/api.py. In fact, this is the simplest way to integrate the summarizer and the dialog agent into a production system.