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|
%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.nju.edu.cn/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
[](https://buymeacoffee.com/hobs)
[](https://pypi.org/project/qary/)
[](https://pypi.python.org/pypi/qary/)
[](https://codecov.io/gl/tangibleai/qary)
[](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
[](https://buymeacoffee.com/hobs)
[](https://pypi.org/project/qary/)
[](https://pypi.python.org/pypi/qary/)
[](https://codecov.io/gl/tangibleai/qary)
[](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
[](https://buymeacoffee.com/hobs)
[](https://pypi.org/project/qary/)
[](https://pypi.python.org/pypi/qary/)
[](https://codecov.io/gl/tangibleai/qary)
[](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
* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.27-1
- Package Spec generated
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