%global _empty_manifest_terminate_build 0 Name: python-qary Version: 0.7.27 Release: 1 Summary: A chatbot that assists rather than manipulates. License: MIT URL: https://gitlab.com/tangibleai/qary Source0: https://mirrors.aliyun.com/pypi/web/packages/01/b4/cb229eeda2f49c8fbbe2160e7d87d5c08bdcb61cc93f9e30ee1056127f01/qary-0.7.27.tar.gz BuildArch: noarch Requires: python3-pip Requires: python3-poetry Requires: python3-beautifulsoup4 Requires: python3-bleach Requires: python3-bidict Requires: python3-boto3 Requires: python3-botocore Requires: python3-configargparse Requires: python3-cython Requires: python3-dataframe-image Requires: python3-Django Requires: python3-edit-distance Requires: python3-elasticsearch Requires: python3-environment Requires: python3-gitpython Requires: python3-graphviz Requires: python3-h5py Requires: python3-html5lib Requires: python3-html2text Requires: python3-huggingface-hub Requires: python3-jupyter-console Requires: python3-lxml Requires: python3-m2r Requires: python3-matplotlib Requires: python3-matplotlib-inline Requires: python3-meilisearch Requires: python3-mistune Requires: python3-nltk Requires: python3-pandas Requires: python3-pillow Requires: python3-pronouncing Requires: python3-psutil Requires: python3-PyPDF2 Requires: python3-dotenv Requires: python3-slugify Requires: python3-pyyaml Requires: python3-rapidfuzz Requires: python3-recommonmark Requires: python3-scikit-image Requires: python3-scikit-learn Requires: python3-scipy Requires: python3-seaborn Requires: python3-sentence_transformers Requires: python3-spacy Requires: python3-sphinx Requires: python3-torch Requires: python3-torchtext Requires: python3-tox Requires: python3-tqdm Requires: python3-unidecode Requires: python3-wikipedia Requires: python3-babel %description [![Buy Us Tea](https://github.com/nlpia/nlpia-bot/raw/develop/docs/media/small-leaf-and-name-screenshot-31x80.png)](https://buymeacoffee.com/hobs) [![PyPI version](https://img.shields.io/pypi/pyversions/qary.svg)](https://pypi.org/project/qary/) [![License](https://img.shields.io/pypi/l/qary.svg)](https://pypi.python.org/pypi/qary/) [![codecov](https://codecov.io/gl/tangibleai/qary/branch/master/graph/badge.svg)](https://codecov.io/gl/tangibleai/qary) [![DigitalOcean Referral Badge](https://web-platforms.sfo2.digitaloceanspaces.com/WWW/Badge%202.svg)](https://www.digitalocean.com/?refcode=5bc34fba1bee&utm_campaign=Referral_Invite&utm_medium=Referral_Program&utm_source=badge) # `qary` The `qary` package is both a chatbot framework and a virtual assistant that actually assists! Most bots manipulate you to make money for their corporate masters. With qary, you can build **your** bot to protect you and amplify your prosocial intelligence. We started work on `qary` as part of 1st editition of [NLP in Action](https://proai.org/nlpia2-book). It has slowly grown into the core framework for a social-impact startup [Tangible AI](https://tangibleai.com). Tangible AI [interns and volunteers](/docs/wiki/contributors.md) are constantly fixing bugs, adding new features and dialog trees to qary's repetoire. The [San Diego Python User Group](https://www.pythonsd.org/index.html) meetups have been the scene for [some fun qary demos](https://piped.kavin.rocks/channel/UCXU-oZwaHnoYUhja_yrrrGg). The [San Diego Machine Learning Book Club](https://www.meetup.com/San-Diego-Machine-Learning/) is a great place for support on advanced concepts in the _NLP in Action_ book or anything NLP and machine learning related. You can find more ideas in `docs/`. ## Install ### Install from source Retrieve the source code from GitLab using a bash console: ```bash git clone git@gitlab.com:tangibleai/qary cd qary ``` If that doesn't work or you don't know what a bash console is, then you probably want to start with the **Windows Users** Instructions here: [docs/README-windows-install.md](docs/README-windows-install.md) Make sure you install `qary` in a _virtual environment_ using the latest version of `pip` and the python `virtualenv` package: ```bash pip install --upgrade pip virtualenv python -m virtualenv venv source venv/bin/activate ``` Now that you have your environment activated, make sure you are in the `qary/` repository along side the pyproject.toml file so you can install qary in developer (editable) mode: ```bash pip install --editable . ``` Now you're ready to run `qary` from the command line (bash console): ```bash qary "Hi!" ``` ### PyPi package `qary` is on [PyPi](https://pypi.org/project/qary/) but this install is unlikely to work, unless you've already installed all the dependencies: ```bash pip install qary ``` ## Usage ```bash $ qary --help usage: qary [-h] [--version] [--name STR] [-p] [-s STR] [-v] [-vv] [words [words ...]] ``` ### Running `qary` for just one skill ```bash $ qary -s qa # ... (logging messages) YOU: When was Barack Obama born? # ... (logging messages) qary: August 4, 1961 ``` ### `qary` skills `qary`'s probabilistic conversation manager chooses a reply from the possiblities generated by the different personalities: - `pattern` (`skills/pattern.py`): example skill using regex patterns to reply to greetings like "hi" - `qa` (`skills/qa.py`): BERT and ALBERT Wikipedia Question Answering (WikiQA reading comprehension tests) - `faq` (`skills/faq.py`): answers to frequently asked questions using data/faq/*.yml - `glossary` (`skills/glossary.py`): definitions from glossary yml files in data/faq/glossary-*.yml - `eliza` (`eliza.py`): a python port of the ELIZA therapist bot ### Configuring default personalities By default, `qary` runs with `qa` personality. Check out the config file in `qary.ini` to change the default skills loaded for your own custom skill in the skills directory. ## Approach `qary`'s chatbot framework allows you to combine many approaches to give you state-of-the-art capability to answer questions and carry on a conversation: 1. search: [chatterbot](https://github.com/gunthercox/ChatterBot), [will](https://github.com/skoczen/will) 2. pattern matching and response templates: Alexa, [AIML](https://github.com/keiffster/program-y) 3. generative deep learning: [robot-bernie](https://github.com/nlpia/robot-bernie), [movie-bot](https://github.com/totalgood/nlpia/blob/master/src/nlpia/book/examples/ch10_movie_dialog_chatbot.py) 4. grounding: [snips](https://github.com/snipsco/snips-nlu) It's all explained in detail at [NLP in Action](https://www.manning.com/books/natural-language-processing-in-action). Presentations for San Diego Python User Group are in [docs/](/docs/2019-08-22--San Diego Python User Group -- How to Build a Chatbot.odp) and on the web at [http://totalgood.org/midata/talks](http://totalgood.org/midata/talks/) ## Contributing pattern for developers DM @hobs on SD PUG's [discord server](https://discord.gg/yFTAQDxg) if you'd like to join us for weekly collaborative-coding sessions on `qary` and other open source projects. 1. [Create a fork](https://docs.gitlab.com/ee/user/project/repository/forking_workflow.html#creating-a-fork) of the [main qary repository](https://gitlab.com/tangibleai/qary) on Gitlab. 2. Make your changes in a branch named something different from `master`, e.g. create a new branch `my-pull-request`. 3. [Create a merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html). 4. Help your fellow contributors out by: - Follow the [PEP-8 style guide](https://www.python.org/dev/peps/pep-0008/). - Try to include a docstring, at least a single line, in any function, method, or class - Bonus points for adding a [doctest](https://docs.python.org/3/library/doctest.html) as part of your contribution. - If you add a new feature, write some quick docs in the README. - Add your name and attribution to the AUTHORS file. - Know we are grateful for your contribution! You've made the chatbot world a little better! %package -n python3-qary Summary: A chatbot that assists rather than manipulates. Provides: python-qary BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-qary [![Buy Us Tea](https://github.com/nlpia/nlpia-bot/raw/develop/docs/media/small-leaf-and-name-screenshot-31x80.png)](https://buymeacoffee.com/hobs) [![PyPI version](https://img.shields.io/pypi/pyversions/qary.svg)](https://pypi.org/project/qary/) [![License](https://img.shields.io/pypi/l/qary.svg)](https://pypi.python.org/pypi/qary/) [![codecov](https://codecov.io/gl/tangibleai/qary/branch/master/graph/badge.svg)](https://codecov.io/gl/tangibleai/qary) [![DigitalOcean Referral Badge](https://web-platforms.sfo2.digitaloceanspaces.com/WWW/Badge%202.svg)](https://www.digitalocean.com/?refcode=5bc34fba1bee&utm_campaign=Referral_Invite&utm_medium=Referral_Program&utm_source=badge) # `qary` The `qary` package is both a chatbot framework and a virtual assistant that actually assists! Most bots manipulate you to make money for their corporate masters. With qary, you can build **your** bot to protect you and amplify your prosocial intelligence. We started work on `qary` as part of 1st editition of [NLP in Action](https://proai.org/nlpia2-book). It has slowly grown into the core framework for a social-impact startup [Tangible AI](https://tangibleai.com). Tangible AI [interns and volunteers](/docs/wiki/contributors.md) are constantly fixing bugs, adding new features and dialog trees to qary's repetoire. The [San Diego Python User Group](https://www.pythonsd.org/index.html) meetups have been the scene for [some fun qary demos](https://piped.kavin.rocks/channel/UCXU-oZwaHnoYUhja_yrrrGg). The [San Diego Machine Learning Book Club](https://www.meetup.com/San-Diego-Machine-Learning/) is a great place for support on advanced concepts in the _NLP in Action_ book or anything NLP and machine learning related. You can find more ideas in `docs/`. ## Install ### Install from source Retrieve the source code from GitLab using a bash console: ```bash git clone git@gitlab.com:tangibleai/qary cd qary ``` If that doesn't work or you don't know what a bash console is, then you probably want to start with the **Windows Users** Instructions here: [docs/README-windows-install.md](docs/README-windows-install.md) Make sure you install `qary` in a _virtual environment_ using the latest version of `pip` and the python `virtualenv` package: ```bash pip install --upgrade pip virtualenv python -m virtualenv venv source venv/bin/activate ``` Now that you have your environment activated, make sure you are in the `qary/` repository along side the pyproject.toml file so you can install qary in developer (editable) mode: ```bash pip install --editable . ``` Now you're ready to run `qary` from the command line (bash console): ```bash qary "Hi!" ``` ### PyPi package `qary` is on [PyPi](https://pypi.org/project/qary/) but this install is unlikely to work, unless you've already installed all the dependencies: ```bash pip install qary ``` ## Usage ```bash $ qary --help usage: qary [-h] [--version] [--name STR] [-p] [-s STR] [-v] [-vv] [words [words ...]] ``` ### Running `qary` for just one skill ```bash $ qary -s qa # ... (logging messages) YOU: When was Barack Obama born? # ... (logging messages) qary: August 4, 1961 ``` ### `qary` skills `qary`'s probabilistic conversation manager chooses a reply from the possiblities generated by the different personalities: - `pattern` (`skills/pattern.py`): example skill using regex patterns to reply to greetings like "hi" - `qa` (`skills/qa.py`): BERT and ALBERT Wikipedia Question Answering (WikiQA reading comprehension tests) - `faq` (`skills/faq.py`): answers to frequently asked questions using data/faq/*.yml - `glossary` (`skills/glossary.py`): definitions from glossary yml files in data/faq/glossary-*.yml - `eliza` (`eliza.py`): a python port of the ELIZA therapist bot ### Configuring default personalities By default, `qary` runs with `qa` personality. Check out the config file in `qary.ini` to change the default skills loaded for your own custom skill in the skills directory. ## Approach `qary`'s chatbot framework allows you to combine many approaches to give you state-of-the-art capability to answer questions and carry on a conversation: 1. search: [chatterbot](https://github.com/gunthercox/ChatterBot), [will](https://github.com/skoczen/will) 2. pattern matching and response templates: Alexa, [AIML](https://github.com/keiffster/program-y) 3. generative deep learning: [robot-bernie](https://github.com/nlpia/robot-bernie), [movie-bot](https://github.com/totalgood/nlpia/blob/master/src/nlpia/book/examples/ch10_movie_dialog_chatbot.py) 4. grounding: [snips](https://github.com/snipsco/snips-nlu) It's all explained in detail at [NLP in Action](https://www.manning.com/books/natural-language-processing-in-action). Presentations for San Diego Python User Group are in [docs/](/docs/2019-08-22--San Diego Python User Group -- How to Build a Chatbot.odp) and on the web at [http://totalgood.org/midata/talks](http://totalgood.org/midata/talks/) ## Contributing pattern for developers DM @hobs on SD PUG's [discord server](https://discord.gg/yFTAQDxg) if you'd like to join us for weekly collaborative-coding sessions on `qary` and other open source projects. 1. [Create a fork](https://docs.gitlab.com/ee/user/project/repository/forking_workflow.html#creating-a-fork) of the [main qary repository](https://gitlab.com/tangibleai/qary) on Gitlab. 2. Make your changes in a branch named something different from `master`, e.g. create a new branch `my-pull-request`. 3. [Create a merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html). 4. Help your fellow contributors out by: - Follow the [PEP-8 style guide](https://www.python.org/dev/peps/pep-0008/). - Try to include a docstring, at least a single line, in any function, method, or class - Bonus points for adding a [doctest](https://docs.python.org/3/library/doctest.html) as part of your contribution. - If you add a new feature, write some quick docs in the README. - Add your name and attribution to the AUTHORS file. - Know we are grateful for your contribution! You've made the chatbot world a little better! %package help Summary: Development documents and examples for qary Provides: python3-qary-doc %description help [![Buy Us Tea](https://github.com/nlpia/nlpia-bot/raw/develop/docs/media/small-leaf-and-name-screenshot-31x80.png)](https://buymeacoffee.com/hobs) [![PyPI version](https://img.shields.io/pypi/pyversions/qary.svg)](https://pypi.org/project/qary/) [![License](https://img.shields.io/pypi/l/qary.svg)](https://pypi.python.org/pypi/qary/) [![codecov](https://codecov.io/gl/tangibleai/qary/branch/master/graph/badge.svg)](https://codecov.io/gl/tangibleai/qary) [![DigitalOcean Referral Badge](https://web-platforms.sfo2.digitaloceanspaces.com/WWW/Badge%202.svg)](https://www.digitalocean.com/?refcode=5bc34fba1bee&utm_campaign=Referral_Invite&utm_medium=Referral_Program&utm_source=badge) # `qary` The `qary` package is both a chatbot framework and a virtual assistant that actually assists! Most bots manipulate you to make money for their corporate masters. With qary, you can build **your** bot to protect you and amplify your prosocial intelligence. We started work on `qary` as part of 1st editition of [NLP in Action](https://proai.org/nlpia2-book). It has slowly grown into the core framework for a social-impact startup [Tangible AI](https://tangibleai.com). Tangible AI [interns and volunteers](/docs/wiki/contributors.md) are constantly fixing bugs, adding new features and dialog trees to qary's repetoire. The [San Diego Python User Group](https://www.pythonsd.org/index.html) meetups have been the scene for [some fun qary demos](https://piped.kavin.rocks/channel/UCXU-oZwaHnoYUhja_yrrrGg). The [San Diego Machine Learning Book Club](https://www.meetup.com/San-Diego-Machine-Learning/) is a great place for support on advanced concepts in the _NLP in Action_ book or anything NLP and machine learning related. You can find more ideas in `docs/`. ## Install ### Install from source Retrieve the source code from GitLab using a bash console: ```bash git clone git@gitlab.com:tangibleai/qary cd qary ``` If that doesn't work or you don't know what a bash console is, then you probably want to start with the **Windows Users** Instructions here: [docs/README-windows-install.md](docs/README-windows-install.md) Make sure you install `qary` in a _virtual environment_ using the latest version of `pip` and the python `virtualenv` package: ```bash pip install --upgrade pip virtualenv python -m virtualenv venv source venv/bin/activate ``` Now that you have your environment activated, make sure you are in the `qary/` repository along side the pyproject.toml file so you can install qary in developer (editable) mode: ```bash pip install --editable . ``` Now you're ready to run `qary` from the command line (bash console): ```bash qary "Hi!" ``` ### PyPi package `qary` is on [PyPi](https://pypi.org/project/qary/) but this install is unlikely to work, unless you've already installed all the dependencies: ```bash pip install qary ``` ## Usage ```bash $ qary --help usage: qary [-h] [--version] [--name STR] [-p] [-s STR] [-v] [-vv] [words [words ...]] ``` ### Running `qary` for just one skill ```bash $ qary -s qa # ... (logging messages) YOU: When was Barack Obama born? # ... (logging messages) qary: August 4, 1961 ``` ### `qary` skills `qary`'s probabilistic conversation manager chooses a reply from the possiblities generated by the different personalities: - `pattern` (`skills/pattern.py`): example skill using regex patterns to reply to greetings like "hi" - `qa` (`skills/qa.py`): BERT and ALBERT Wikipedia Question Answering (WikiQA reading comprehension tests) - `faq` (`skills/faq.py`): answers to frequently asked questions using data/faq/*.yml - `glossary` (`skills/glossary.py`): definitions from glossary yml files in data/faq/glossary-*.yml - `eliza` (`eliza.py`): a python port of the ELIZA therapist bot ### Configuring default personalities By default, `qary` runs with `qa` personality. Check out the config file in `qary.ini` to change the default skills loaded for your own custom skill in the skills directory. ## Approach `qary`'s chatbot framework allows you to combine many approaches to give you state-of-the-art capability to answer questions and carry on a conversation: 1. search: [chatterbot](https://github.com/gunthercox/ChatterBot), [will](https://github.com/skoczen/will) 2. pattern matching and response templates: Alexa, [AIML](https://github.com/keiffster/program-y) 3. generative deep learning: [robot-bernie](https://github.com/nlpia/robot-bernie), [movie-bot](https://github.com/totalgood/nlpia/blob/master/src/nlpia/book/examples/ch10_movie_dialog_chatbot.py) 4. grounding: [snips](https://github.com/snipsco/snips-nlu) It's all explained in detail at [NLP in Action](https://www.manning.com/books/natural-language-processing-in-action). Presentations for San Diego Python User Group are in [docs/](/docs/2019-08-22--San Diego Python User Group -- How to Build a Chatbot.odp) and on the web at [http://totalgood.org/midata/talks](http://totalgood.org/midata/talks/) ## Contributing pattern for developers DM @hobs on SD PUG's [discord server](https://discord.gg/yFTAQDxg) if you'd like to join us for weekly collaborative-coding sessions on `qary` and other open source projects. 1. [Create a fork](https://docs.gitlab.com/ee/user/project/repository/forking_workflow.html#creating-a-fork) of the [main qary repository](https://gitlab.com/tangibleai/qary) on Gitlab. 2. Make your changes in a branch named something different from `master`, e.g. create a new branch `my-pull-request`. 3. [Create a merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html). 4. Help your fellow contributors out by: - Follow the [PEP-8 style guide](https://www.python.org/dev/peps/pep-0008/). - Try to include a docstring, at least a single line, in any function, method, or class - Bonus points for adding a [doctest](https://docs.python.org/3/library/doctest.html) as part of your contribution. - If you add a new feature, write some quick docs in the README. - Add your name and attribution to the AUTHORS file. - Know we are grateful for your contribution! You've made the chatbot world a little better! %prep %autosetup -n qary-0.7.27 %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-qary -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 0.7.27-1 - Package Spec generated