Metadata-Version: 2.1
Name: chathub-base
Version: 2.0.1
Summary: ChatterBot is a machine learning, conversational dialog engine.
Home-page: https://github.com/gunthercox/ChatterBot
Author: Gunther Cox
Author-email: gunthercx@gmail.com
License: BSD
Download-URL: https://github.com/gunthercox/ChatterBot/tarball/2.0.1
Project-URL: Documentation, https://chatterbot.readthedocs.io
Description: ![ChatterBot: Machine learning in Python](https://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://img.shields.io/pypi/v/chatterbot.svg)](https://pypi.python.org/pypi/chatterbot/)
        [![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)
        [![Django 2.0](https://img.shields.io/badge/Django-2.0-blue.svg)](https://docs.djangoproject.com/en/2.1/releases/2.0/)
        [![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)
        [![Documentation Status](https://readthedocs.org/projects/chatterbot/badge/?version=stable)](http://chatterbot.readthedocs.io/en/stable/?badge=stable)
        [![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)
        [![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)
        
        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
        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 other languages would be greatly appreciated. Take a look at the data files
        in the [chatterbot-corpus](https://github.com/gunthercox/chatterbot-corpus)
        package if you are interested in contributing.
        
        ```
        from chatterbot.trainers import ChatterBotCorpusTrainer
        
        # Create a new trainer for the chatbot
        trainer = ChatterBotCorpusTrainer(chatbot)
        
        # Train based on the english corpus
        trainer.train("chatterbot.corpus.english")
        
        # Train based on english greetings corpus
        trainer.train("chatterbot.corpus.english.greetings")
        
        # Train based on the english conversations corpus
        trainer.train("chatterbot.corpus.english.conversations")
        ```
        
        **Corpus contributions are welcome! Please make a pull request.**
        
        # [Documentation](https://chatterbot.readthedocs.io/)
        
        View the [documentation](https://chatterbot.readthedocs.io/)
        for ChatterBot on Read the Docs.
        
        To build the documentation yourself using [Sphinx](http://www.sphinx-doc.org/), run:
        
        ```
        sphinx-build -b html docs/ build/
        ```
        
        # Examples
        
        For examples, see the [examples](https://github.com/gunthercox/ChatterBot/tree/master/examples)
        directory in this project's git repository.
        
        There is also an example [Django project using ChatterBot](https://github.com/gunthercox/ChatterBot/tree/master/examples), as well as an example [Flask project using ChatterBot](https://github.com/chamkank/flask-chatterbot).
        
        # History
        
        See release notes for changes https://github.com/gunthercox/ChatterBot/releases
        
        # Development pattern for contributors
        
        1. [Create a fork](https://help.github.com/articles/fork-a-repo/) of
           the [main ChatterBot repository](https://github.com/gunthercox/ChatterBot) on GitHub.
        2. Make your changes in a branch named something different from `master`, e.g. create
           a new branch `my-pull-request`.
        3. [Create a pull request](https://help.github.com/articles/creating-a-pull-request/).
        4. Please follow the [Python style guide for PEP-8](https://www.python.org/dev/peps/pep-0008/).
        5. Use the projects [built-in automated testing](https://chatterbot.readthedocs.io/en/latest/testing.html).
           to help make sure that your contribution is free from errors.
        
        # License
        
        ChatterBot is licensed under the [BSD 3-clause license](https://opensource.org/licenses/BSD-3-Clause).
        
Keywords: ChatterBot,chatbot,chat,bot
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Communications :: Chat
Classifier: Topic :: Internet
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.4, <=3.8
Description-Content-Type: text/markdown
