DeepTalk: Python and Prolog based dialogue agent
** The system uses package
text_graph_crafts based on dependency links for building Text Graphs, that with help of a centrality algorithm like PageRank, extract relevant keyphrases, summaries and relations from text documents.
A SWI-Prolog based module adds an interactive shell for talking about the document with a dialog agent that extracts for each query the most relevant sentences covering the document. Spoken dialog is also available if the OS supports it. Developed with Python 3, on OS X, but portable to Linux.**
- python 3.7 or newer, pip3, java 9.x or newer, SWI-Prolog 8.x or newer, graphviz
- also, having git installed is recommended for easy updates
pip3 install text_graph_crafts
see how to activate other outputs in file
The second is activated with
python3 -i qpro.py
or the shorthand script
It requires SWI-Prolog to be installed and available in the path as the executable
swipl and the Python to Prolog interface
pyswip, to be installed with
pip3 install pyswip
It activates a Prolog process to which Python sends interactively queries about a selected document. Answers are computed by Prolog and then, if the parameter
quiet is off, spoken using the
say OS-level facility (available on OS X and Linux machines.
Prolog relation files, generated on the Python side are associated to each document as well as the queries about it. They are stored in the same directory as the document.
>>> t1() ... >>> t9() >>> t0() or >>> chat('const') to interactively chat about the US Constitution. The same for other documents in the examples folder. ### Handling PDF documents The easiest way to do this is to install *pdftotext*, which is part of [Poppler tools](https://poppler.freedesktop.org/). If pdftotext is installed, you can place a file like *textrank.pdf* already in subdirectory pdfs/ and try something similar to:
which activates a dialog about the TextRank paper. Also
activates a dialog about *pdfs/logrank.pdf*, which describes the architecture of the current system. Change setting in file params.py to use the system with other global parameter settings.
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