1
0
mirror of https://github.com/gsi-upm/senpy synced 2024-11-22 00:02:28 +00:00
Go to file
2017-02-13 18:29:38 +01:00
docs Flake8, Semver, Pre-commit 2017-01-10 16:25:01 +01:00
img Started readthedocs and improved README 2015-10-28 21:25:56 +01:00
senpy Added gitlab CI 2017-02-13 12:04:29 +01:00
tests Released v0.7 2017-02-08 21:55:17 +01:00
.drone.yml Improved plugins API and loading 2016-02-20 18:19:52 +01:00
.gitignore New shelf location and better shelf tests 2016-12-26 17:45:17 +01:00
.gitlab-ci.yml Configured runner to mount socket 2017-02-13 18:29:38 +01:00
.travis.yml Added 3.4 to travis 2016-09-20 20:58:37 +02:00
config.py Simple server 2014-07-13 15:39:31 +02:00
dev-requirements.txt PEP8 compliance 2014-11-20 19:29:49 +01:00
Dockerfile Replaced gevent with threading 2017-02-02 16:35:58 +01:00
Dockerfile-2.7 Released v0.7 2017-02-08 21:55:17 +01:00
Dockerfile-3.4 Released v0.7 2017-02-08 21:55:17 +01:00
Dockerfile-3.5 Released v0.7 2017-02-08 21:55:17 +01:00
Dockerfile.deps Makefile for automated testing (no more drone) 2016-09-20 20:55:59 +02:00
Dockerfile.template Released v0.7 2017-02-08 21:55:17 +01:00
LICENSE.txt Refactoring, name change 2014-09-16 16:45:06 +02:00
Makefile Added gitlab CI 2017-02-13 12:04:29 +01:00
MANIFEST.in Added gitlab CI 2017-02-13 12:04:29 +01:00
NOTICE Refactoring, name change 2014-09-16 16:45:06 +02:00
Procfile Fix for heroku 2016-03-02 08:02:09 +01:00
README.rst Updated links in README 2016-12-19 13:17:56 +01:00
requirements.txt Flake8, Semver, Pre-commit 2017-01-10 16:25:01 +01:00
setup.cfg Flake8, Semver, Pre-commit 2017-01-10 16:25:01 +01:00
setup.py Replaced gevent with threading 2017-02-02 16:35:58 +01:00
supervisord.conf Files for deployment 2014-11-05 19:17:27 +01:00
test-requirements.txt Python 3 compatible 2016-02-20 16:17:37 +01:00

.. image:: img/header.png
   :height: 6em
   :target: http://demos.gsi.dit.upm.es/senpy

.. image:: https://travis-ci.org/gsi-upm/senpy.svg?branch=master
   :target: https://travis-ci.org/gsi-upm/senpy

Senpy lets you create sentiment analysis web services easily, fast and using a well known API.
As a bonus, senpy services use semantic vocabularies (e.g. `NIF <http://persistence.uni-leipzig.org/nlp2rdf/>`_, `Marl <http://www.gsi.dit.upm.es/ontologies/marl>`_, `Onyx <http://www.gsi.dit.upm.es/ontologies/onyx>`_) and formats (turtle, JSON-LD, xml-rdf).

Have you ever wanted to turn your sentiment analysis algorithms into a service?
With senpy, now you can.
It provides all the tools so you just have to worry about improving your algorithms:

`See it in action. <http://senpy.cluster.gsi.dit.upm.es/>`_

Installation
------------
The stable version can be installed in three ways.

Through PIP
***********

.. code:: bash

   pip install --user senpy

   
Alternatively, you can use the development version:
 
.. code:: bash

   git clone http://github.com/gsi-upm/senpy
   cd senpy
   pip install --user .

If you want to install senpy globally, use sudo instead of the ``--user`` flag.

Docker Image
************
Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy --host 0.0.0.0 --default-plugins``.

To add custom plugins, add a volume and tell senpy where to find the plugins: ``docker run -ti -p 5000:5000 -v <PATH OF PLUGINS>:/plugins gsiupm/senpy --host 0.0.0.0 --default-plugins -f /plugins``

Usage
-----

However, the easiest and recommended way is to just use the command-line tool to load your plugins and launch the server.

.. code:: bash

   senpy

or, alternatively:

.. code:: bash

    python -m senpy


This will create a server with any modules found in the current path.
For more options, see the `--help` page.

Alternatively, you can use the modules included in senpy to build your own application.

Deploying on Heroku
-------------------
Use a free heroku instance to share your service with the world.
Just use the example Procfile in this repository, or build your own.


`DEMO on heroku <http://senpy.herokuapp.com>`_


For more information, check out the `documentation <http://senpy.readthedocs.org>`_.
------------------------------------------------------------------------------------


Acknowledgement
---------------
This development has been partially funded by the European Union through the MixedEmotions Project (project number H2020 655632), as part of the `RIA ICT 15 Big data and Open Data Innovation and take-up` programme.


.. image:: img/me.png
    :target: http://mixedemotions-project.eu
    :height: 100px
    :alt: MixedEmotions Logo

.. image:: img/eu-flag.jpg
    :height: 100px
    :target: http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/index.html