An open-source chat bot program written in Python.
Project description
![Chatterbot: Machine learning in Python](http://i.imgur.com/b3SCmGT.png)
# ChatterBot
ChatterBot is a machine-learning based conversational dialog engine build in
Python which makes it possible to generate responses based on collections of
known conversations. The language independent design of ChatterBot allows it to
be trained to speak any language.
[![Package Version](https://badge.fury.io/py/ChatterBot.png)](http://badge.fury.io/py/ChatterBot)
[![Requirements Status](https://requires.io/github/gunthercox/ChatterBot/requirements.svg?branch=master)](https://requires.io/github/gunthercox/ChatterBot/requirements/?branch=master)
[![Build Status](https://travis-ci.org/gunthercox/ChatterBot.svg?branch=master)](https://travis-ci.org/gunthercox/ChatterBot)
[![Coverage Status](https://img.shields.io/coveralls/gunthercox/ChatterBot.svg)](https://coveralls.io/r/gunthercox/ChatterBot)
[![Code Climate](https://codeclimate.com/github/gunthercox/ChatterBot/badges/gpa.svg)](https://codeclimate.com/github/gunthercox/ChatterBot)
An example of typical input would be something like this:
> **user:** Good morning! How are you doing?
> **bot:** I am doing very well, thank you for asking.
> **user:** You're welcome.
> **bot:** Do you like hats?
## How it works
An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply and the accuracy of each response in relation to the input statement increase. The program selects the closest matching response by searching for the closest matching known statement that matches the input, it then returns the most likely response to that statement based on how frequently each response is issued by the people the bot communicates with.
## Installation
This package can be installed from [PyPi](https://pypi.python.org/pypi/ChatterBot) by running:
```
pip install chatterbot
```
## Basic Usage
```
from chatterbot import ChatBot
chatbot = ChatBot("Ron Obvious")
chatbot.get_response("Hello, how are you today?")
```
## Getting Started
See the instructions for using ChatterBot.
https://github.com/gunthercox/ChatterBot/wiki/Quick-Start
## Examples
For examples, see the [examples](https://github.com/gunthercox/ChatterBot/tree/master/examples)
directory in this project's repository.
# Testing
ChatterBot's built in tests can be run using nose.
See the [nose documentation](https://nose.readthedocs.org/en/latest/) for more information.
# Applications
Have you created something cool using ChatterBot?
Please add your creation to the list of projects using ChatterBot in the wiki.
https://github.com/gunthercox/ChatterBot/wiki/
# History
See release notes for changes https://github.com/gunthercox/ChatterBot/releases
# ChatterBot
ChatterBot is a machine-learning based conversational dialog engine build in
Python which makes it possible to generate responses based on collections of
known conversations. The language independent design of ChatterBot allows it to
be trained to speak any language.
[![Package Version](https://badge.fury.io/py/ChatterBot.png)](http://badge.fury.io/py/ChatterBot)
[![Requirements Status](https://requires.io/github/gunthercox/ChatterBot/requirements.svg?branch=master)](https://requires.io/github/gunthercox/ChatterBot/requirements/?branch=master)
[![Build Status](https://travis-ci.org/gunthercox/ChatterBot.svg?branch=master)](https://travis-ci.org/gunthercox/ChatterBot)
[![Coverage Status](https://img.shields.io/coveralls/gunthercox/ChatterBot.svg)](https://coveralls.io/r/gunthercox/ChatterBot)
[![Code Climate](https://codeclimate.com/github/gunthercox/ChatterBot/badges/gpa.svg)](https://codeclimate.com/github/gunthercox/ChatterBot)
An example of typical input would be something like this:
> **user:** Good morning! How are you doing?
> **bot:** I am doing very well, thank you for asking.
> **user:** You're welcome.
> **bot:** Do you like hats?
## How it works
An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply and the accuracy of each response in relation to the input statement increase. The program selects the closest matching response by searching for the closest matching known statement that matches the input, it then returns the most likely response to that statement based on how frequently each response is issued by the people the bot communicates with.
## Installation
This package can be installed from [PyPi](https://pypi.python.org/pypi/ChatterBot) by running:
```
pip install chatterbot
```
## Basic Usage
```
from chatterbot import ChatBot
chatbot = ChatBot("Ron Obvious")
chatbot.get_response("Hello, how are you today?")
```
## Getting Started
See the instructions for using ChatterBot.
https://github.com/gunthercox/ChatterBot/wiki/Quick-Start
## Examples
For examples, see the [examples](https://github.com/gunthercox/ChatterBot/tree/master/examples)
directory in this project's repository.
# Testing
ChatterBot's built in tests can be run using nose.
See the [nose documentation](https://nose.readthedocs.org/en/latest/) for more information.
# Applications
Have you created something cool using ChatterBot?
Please add your creation to the list of projects using ChatterBot in the wiki.
https://github.com/gunthercox/ChatterBot/wiki/
# History
See release notes for changes https://github.com/gunthercox/ChatterBot/releases
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