Skip to content
/ pyAIML Public
forked from creatorrr/pyAIML

PyAIML -- The Python AIML Interpreter

Notifications You must be signed in to change notification settings

ypyf/pyAIML

This branch is 4 commits ahead of, 2 commits behind creatorrr/pyAIML:master.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

May 17, 2016
22e21f9 · May 17, 2016

History

8 Commits
Jun 27, 2012
May 17, 2016
Jun 27, 2012
May 17, 2016
May 17, 2016
May 17, 2016
Jun 27, 2012
Jun 27, 2012
Jun 27, 2012
Jun 27, 2012
Jun 27, 2012
Jun 27, 2012
Jun 27, 2012

Repository files navigation

pyAIML

NOTE: This repo has been cloned from sourceforge. Credits follow.

PyAIML -- The Python AIML Interpreter

author: Cort Stratton (cort@users.sourceforge.net) web: http://pyaiml.sourceforge.net/

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("> "))

About

PyAIML -- The Python AIML Interpreter

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%