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GeezerVison is showing pypi.org — ChatterBot ChatterBot 1.2.15ChatterBot is a machine learning, conversational dialog engine pip install ChatterBot ChatterBotChatterBot 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.
An example of typical input would be something like this:
How it worksAn 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. DocumentationView the documentation for ChatterBot. InstallationThis package can be installed from PyPi by running: pip install chatterbot
Basic Usagefrom 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 dataChatterBot 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 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. ExamplesFor examples, see the examples section of the documentation. HistorySee release notes for changes https://github.com/gunthercox/ChatterBot/releases ContributingContributions are welcomed, to help ensure a smooth process please start with the contributing guidelines in our documentation: https://docs.chatterbot.us/contributing/ SponsorsChatterBot is sponsored by:
LicenseChatterBot is licensed under the BSD 3-clause license. Project linksKey datesPyPI dataData sourced directly from PyPI's database.
2 maintainersPyPI dataData sourced directly from PyPI's database.
CreditsAuthor: Gunther Cox License expression
BSD-3-Clause
RequiresPython <3.15, >=3.10 Provides Extra
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MetadataProject linksKey datesPyPI dataData sourced directly from PyPI's database.
2 maintainersPyPI dataData sourced directly from PyPI's database.
CreditsAuthor: Gunther Cox License expression
BSD-3-Clause
RequiresPython <3.15, >=3.10 Provides Extra
Tags
Classifiers
Release files for ChatterBot 1.2.15For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation. Source distribution (sdist)
Built distribution (wheel)
Total release size: 185.7 kB Release files / chatterbot-1.2.15.tar.gz
Release files / chatterbot-1.2.15-py3-none-any.whl
Security for ChatterBot 1.2.15ProvenanceProvenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats. No provenance foundNone of the files in this release were uploaded with provenance metadata. A note on package securityPyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package. To learn more about protecting yourself from malicious actors, visit our package security documentation. Release history Release notifications | RSS feed | ||||||||||||||||||||||||||||||||||||||||||||||||||||
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