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@@ -0,0 +1 @@ +/ChatterBot-1.0.8.tar.gz diff --git a/python-chatterbot.spec b/python-chatterbot.spec new file mode 100644 index 0000000..d526539 --- /dev/null +++ b/python-chatterbot.spec @@ -0,0 +1,439 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ChatterBot +Version: 1.0.8 +Release: 1 +Summary: ChatterBot is a machine learning, conversational dialog engine. +License: BSD +URL: https://github.com/gunthercox/ChatterBot +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/74/e8/942ac76e79434c605c30ab2ee3e3e421eaf5aa851d46d72eb780d0ff1bb5/ChatterBot-1.0.8.tar.gz +BuildArch: noarch + +Requires: python3-mathparse +Requires: python3-dateutil +Requires: python3-sqlalchemy +Requires: python3-pytz + +%description + + +# 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. + +[](https://pypi.python.org/pypi/chatterbot/) +[](https://www.python.org/downloads/release/python-360/) +[](https://docs.djangoproject.com/en/2.1/releases/2.0/) +[](https://requires.io/github/gunthercox/ChatterBot/requirements/?branch=master) +[](https://travis-ci.org/gunthercox/ChatterBot) +[](http://chatterbot.readthedocs.io/en/stable/?badge=stable) +[](https://coveralls.io/r/gunthercox/ChatterBot) +[](https://codeclimate.com/github/gunthercox/ChatterBot) +[](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). + + + + +%package -n python3-ChatterBot +Summary: ChatterBot is a machine learning, conversational dialog engine. +Provides: python-ChatterBot +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-ChatterBot + + +# 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. + +[](https://pypi.python.org/pypi/chatterbot/) +[](https://www.python.org/downloads/release/python-360/) +[](https://docs.djangoproject.com/en/2.1/releases/2.0/) +[](https://requires.io/github/gunthercox/ChatterBot/requirements/?branch=master) +[](https://travis-ci.org/gunthercox/ChatterBot) +[](http://chatterbot.readthedocs.io/en/stable/?badge=stable) +[](https://coveralls.io/r/gunthercox/ChatterBot) +[](https://codeclimate.com/github/gunthercox/ChatterBot) +[](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). + + + + +%package help +Summary: Development documents and examples for ChatterBot +Provides: python3-ChatterBot-doc +%description help + + +# 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. + +[](https://pypi.python.org/pypi/chatterbot/) +[](https://www.python.org/downloads/release/python-360/) +[](https://docs.djangoproject.com/en/2.1/releases/2.0/) +[](https://requires.io/github/gunthercox/ChatterBot/requirements/?branch=master) +[](https://travis-ci.org/gunthercox/ChatterBot) +[](http://chatterbot.readthedocs.io/en/stable/?badge=stable) +[](https://coveralls.io/r/gunthercox/ChatterBot) +[](https://codeclimate.com/github/gunthercox/ChatterBot) +[](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). + + + + +%prep +%autosetup -n ChatterBot-1.0.8 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-ChatterBot -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.8-1 +- Package Spec generated @@ -0,0 +1 @@ +ad06f70e4392b7b7fa6fb79e97e12141 ChatterBot-1.0.8.tar.gz |