pyaiml | interpreter module for AIML | Machine Learning library

by cdwfs Python Version: Current License: Non-SPDX

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kandi X-RAY | pyaiml Summary

pyaiml is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. pyaiml has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyaiml has a Non-SPDX License. You can download it from GitHub.

PyAIML -- The Python AIML Interpreter author: Cort Stratton web: 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.

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pyaiml has a low active ecosystem.

It has 51 star(s) with 138 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. On average issues are closed in 42 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyaiml is current.

Quality

pyaiml has 0 bugs and 236 code smells.

Security

pyaiml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyaiml code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyaiml has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyaiml releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

pyaiml saves you 591 person hours of effort in developing the same functionality from scratch.

It has 1379 lines of code, 85 functions and 12 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyaiml and discovered the below as its top functions. This is intended to give you an instant insight into pyaiml implemented functionality, and help decide if they suit your requirements.

Handle an AIML tag .
Create a star .
Validate an element start .
Matches the given list of words .
Return a list of sentences from a string .
Initialize self .
Compute the regular expression .
Create an xml parser .

Get all kandi verified functions for this library.

pyaiml Key Features

No Key Features are available at this moment for pyaiml.

pyaiml Examples and Code Snippets

No Code Snippets are available at this moment for pyaiml.

Community Discussions

Trending Discussions on pyaiml

how to insert new patterns in python aiml

QUESTION

how to insert new patterns in python aiml

Asked 2018-Mar-13 at 06:24

hello i am trying to insert new patterns in aiml using python(aiml library) i am following this tutorial, i can use the predefined patterns of A.L.I.C.E chatbot and change the answer of it using the template tag but when I insert new pattern which is not in the A.L.I.C.E chatbot the program gives this error WARNING: No match found for input: '', please help is there a way to insert new patterns using python aiml library?

below is my chatbot.py file

...

ANSWER

Answered 2018-Mar-13 at 06:24

All text in between tags should be in upper case

Every time you modify you aiml files you need to restart your bot

Source https://stackoverflow.com/questions/49219565

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyaiml

You can download it from GitHub.
You can use pyaiml like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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