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senpy/README.rst
2017-03-09 00:04:02 +01:00

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.. 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 -U --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 --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 --default-plugins -f /plugins``
Developing
----------
Developing/debugging
********************
This command will run the senpy container using the latest image available, mounting your current folder so you get your latest code:
.. code:: bash
# Python 3.5
make dev
# Python 2.7
make dev-2.7
Building a docker image
***********************
.. code:: bash
# Python 3.5
make build-3.5
# Python 2.7
make build-2.7
Testing
*******
.. code:: bash
make test
Running
*******
This command will run the senpy server listening on localhost:5000
.. code:: bash
# Python 3.5
make run-3.5
# Python 2.7
make run-2.7
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