https://github.com/lordofpolls/python-aiml-logging
Python-Aiml using logging rather than print and stdout
https://github.com/lordofpolls/python-aiml-logging
Last synced: 3 months ago
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Python-Aiml using logging rather than print and stdout
- Host: GitHub
- URL: https://github.com/lordofpolls/python-aiml-logging
- Owner: LordOfPolls
- License: other
- Created: 2018-07-18T11:38:07.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-05-02T12:37:46.000Z (about 5 years ago)
- Last Synced: 2025-01-01T18:25:32.175Z (5 months ago)
- Language: Python
- Size: 2.09 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.txt
- License: COPYING.txt
- Support: SUPPORTED_TAGS.txt
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README
python-aiml
***********
This is a fork of the `PyAIML`_ Python AIML interpreter. It has been
refactored to make it install and work in both Python 2.7 and Python 3.
PyAIML is (c) Cort Stratton. *python-aiml* uses the same license as PyAIML
(2-clause BSD), except for the ALICE AIML files taken from the `Free ALICE AIML
set`_, which are licensed with the `LGPL`_ license.
Scripts
=======
Two small scripts are added upon installation:
* ``aiml-validate`` can be used to validate AIML files
* ``aiml-bot`` can be used to start a simple interactive session with a bot,
after loading either AIML files or a saved brain file.
Datasets
========
The installation includes two AIML datasets:
* The *standard* AIML set, as it was included in PyAIML
* The `Free ALICE AIML set`_ v. 1.9, taken from the data published by the
`ALICE AI Foundation`_ (with a few small fixes in files that did not
validate as `AIML 1.0.1`_)
They can be loaded via the ``bootstrap`` method in the ``Kernel`` class. See
the `bot.py`_ script for an example.
Tests
=====
There are a number of unit tests included (in the ``test`` subdirectory); they
can be executed by the setup infrastructure as::
python setup.py test
or they can also be launched by directly calling::
python test [testname ...]
This last version allows executing only some of the test files by explicitly
naming them in the command line; if none is specified all will be executed.
.. _PyAIML: https://github.com/cdwfs/pyaiml
.. _Free ALICE AIML set: https://code.google.com/archive/p/aiml-en-us-foundation-alice/
.. _LGPL: http://www.gnu.org/licenses/lgpl.html
.. _ALICE AI Foundation: http://alice.pandorabots.com/
.. _bot.py: aiml/script/bot.py
.. _AIML 1.0.1: http://www.alicebot.org/TR/2011/
------------------------------------------------------------------------------
Original README from PyAIML
===========================
PyAIML is an interpreter for AIML (the Artificial Intelligence Markup
Language), implemented entirely in standard Python. It strives for
simple, austere, 100% compliance with the AIML 1.0.1 standard, no less
and no more.
This is currently pre-alpha software. Use at your own risk!
For information on what's new in this version, see the ``CHANGES.txt`` file.
For information on the state of development, including the current level of
AIML 1.0.1 compliance, see the ``SUPPORTED_TAGS.txt`` file.
Quick & dirty example (assuming you've downloaded the "standard" AIML set)::
import aiml
# The Kernel object is the public interface to
# the AIML interpreter.
k = aiml.Kernel()
# Use the 'learn' method to load the contents
# of an AIML file into the Kernel.
k.learn("std-startup.xml")
# Use the 'respond' method to compute the response
# to a user's input string. respond() returns
# the interpreter's response, which in this case
# we ignore.
k.respond("load aiml b")
# Loop forever, reading user input from the command
# line and printing responses.
while True: print k.respond(raw_input("> "))