ChatterBot

![ChatterBot: Machine learning in Python](https://i.imgur.com/b3SCmGT.png)

# ChatterBot

ChatterBot is a machine-learning based conversational dialog engine built 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://img.shields.io/pypi/v/chatterbot.svg)](https://pypi.python.org/pypi/chatterbot/)
[![Python 3.12](https://img.shields.io/badge/python-3.12-blue.svg)](https://www.python.org/downloads/release/python-360/)
[![Coverage Status](https://img.shields.io/coveralls/gunthercox/ChatterBot.svg)](https://coveralls.io/r/gunthercox/ChatterBot)
[![Follow on Bluesky](https://img.shields.io/badge/🦋%20Bluesky-1185fe)](https://bsky.app/profile/chatterbot.us)
[![Join the chat at https://gitter.im/chatterbot/Lobby](https://badges.gitter.im/chatterbot/Lobby.svg)](https://gitter.im/chatterbot/Lobby?utm_source=badge&utm_medium=badge&utm_content=badge)
<!-- [![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 to, and the accuracy of each response in relation to the input statement increases. 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.

# [Documentation](https://docs.chatterbot.us)

View the [documentation](https://docs.chatterbot.us)
for ChatterBot.

## Installation

This package can be installed from [PyPi](https://pypi.python.org/pypi/ChatterBot) by running:

```bash
pip install chatterbot
```

## Basic Usage

```python
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer

chatbot = ChatBot('Ron Obvious')

# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)

# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")

# Get a response to an input statement
chatbot.get_response("Hello, how are you today?")
```

# Training data

ChatterBot comes with a data utility module that can be used to train chat bots.
At the moment there is training data for over a dozen languages in this module.
Contributions of additional training data or training data
in oth