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A chatbot AI engine is a chatbot builder platform that provids both bot intelligence and chat handler with minimal codding

Project description

Python chatbot AI that helps in creating a python based chatbot with minimal coding. This provides both bots AI and chat handler and also allows easy integration of REST API’s and python function calls which makes it unique and more powerful in functionality. This AI provides numerous features like learn, memory, conditional switch, topic-based conversation handling, etc.

Installation

Install from PyPI:

pip install chatbotAI

install from github:

git clone https://github.com/ahmadfaizalbh/Chatbot.git
cd Chatbot
python setup.py install

Sample Code (with wikipedia search API integration)

from chatbot import Chat, register_call
import wikipedia

@register_call("whoIs")
def who_is(query,session_id="general"):
    try:
        return wikipedia.summary(query)
    except Exception:
        for new_query in wikipedia.search(query):
            try:
                return wikipedia.summary(new_query)
            except Exception:
                pass
    return "I don't know about "+query

first_question="Hi, how are you?"
Chat("examples/Example.template").converse(first_question)

For Detail on how to build Facebook messenger bot checkout Facebook Integration.ipynb

For Jupyter notebook Chatbot checkout Infobot built using NLTK-Chatbot

Sample Apps

  1. A sample facebook messenger bot built using messengerbot, Django and NLTK-Chatbot is available here Facebook messenger bot
  2. A sample microsoft bot built using Microsoft Bot Connector Rest API - v3.0, Django and NLTK-Chatbot is available here Micosoft Chatbot

Memory

Set Memory

{ variable : value }

In think mode

{! variable : value }

Get Memory

{ variable }

Get matched group

Get Nth matched group of client pattern

%N

Example to get first matched

%1

Get Nth matched group of bots pattern

%!N

Example to get first matched

%!1

Recursion

Get response as if client said this new statement

{% chat statement %}

It will do a pattern match for statement

Condition

{% if condition %}
    do this first
{% elif condition %}
    do this next
{% else %}
    do otherwise
{% endif %}

Change Topic

{% topic TopicName %}

Interact with python function

In python

@register_call("functionName")
def function_name(query, session_id="general"):
    return "response string"

In Template

{% call functionName: value %}

REST API integration

In API.json file

{
    "APIName":{
        "auth" : {
            "url":"https://your_rest_api_url/login.json",
            "method":"POST",
            "data":{
                "user":"Your_Username",
                "password":"Your_Password"
            }
        },
        "MethodName" : {
            "url":"https://your_rest_api_url/GET_method_Example.json",
            "method":"GET",
            "params":{
                "key1":"value1",
                "key2":"value2",
                ...
            },
            "value_getter":[order in which data has to be picked from json response]
        },
        "MethodName1" : {
            "url":"https://your_rest_api_url/GET_method_Example.json",
            "method":"POST",
            "data":{
                "key1":"value1",
                "key2":"value2",
                ...
            },
            "value_getter":[order in which data has to be picked from json response]
        },
        "MethodName2" : {
            ...
        },
        ...
    },
    "APIName2":{
        ...
    },
    ...
}

If authentication is required only then ``auth`` method is needed.The ``data`` and ``params`` defined in pi.json file acts as defult values and all key value pair defined in template file overrides the default value.``value_getter`` consistes of list of keys in order using which info from json will be collected.

In Template file

[ APIName:MethodName,Key1:value1 (,Key*:value*) ]

you can have any number of key value pair and all key value pair will override data or params depending on method, if method is POST then it overrides data and if method is GET then it overrides params.

Topic based group

{% group topicName %}
  {% block %}
      {% client %}client says {% endclient %}
      {% response %}response text{% endresponse %}
  {% endblock %}
  ...
{% endgroup %}

Learn

{% learn %}
  {% group topicName %}
    {% block %}
        {% client %}client says {% endclient %}
        {% response %}response text{% endresponse %}
    {% endblock %}
    ...
  {% endgroup %}
  ...
{% endlearn %}

To upper case

{% up string %}

To lower case

{% low string %}

Capitalize

{% cap string %}

Project details


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Files for chatbotAI, version 0.2.1.1
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