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.. image:: logo.png :height: 6em :align: left ===================================== `Senpy <http://senpy.herokuapp.com>`_ ===================================== .. image:: https://travis-ci.org/gsi-upm/senpy.svg?branch=master :target: https://travis-ci.org/gsi-upm/senpy Sentiment analysis web services using a common interface: NIF+JSON-LD. With Senpy, you can easily turn your sentiment analysis algorithm into a web service, just by creating a new plugin. `DEMO on Heroku <http://senpy.herokuapp.com>`_ Installation ------------ The stable version can be installed via pip: .. code:: bash pip install senpy Alternatively, you can use the development version: .. code:: bash git clone git@github.com:gsi-upm/senpy cd senpy pip install -r requirements.txt To install it system-wide, use setuptools: .. code:: bash python setup.py install If you are using docker, build the image or use the pre-built one: .. code:: bash docker run -ti -p 5000:5000 balkian/senpy --host 0.0.0.0 --default-plugins To add custom plugins, add a volume and tell senpy where to find the plugins: .. code:: bash docker run -ti -p 5000:5000 -v <PATH OF PLUGINS:/plugins balkian/senpy --host 0.0.0.0 --default-plugins -f /plugins Using ----- You can use the modules included in senpy to build your own application. 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. TO-DO ----- * Improve documentation and generate it with Sphinx * ReadTheDocs * Improve README Acknowledgement --------------- EUROSENTIMENT PROJECT Grant Agreement no: 296277 Starting date: 01/09/2012 Project duration: 24 months .. image:: logo_grande.png :target: logo_grande.png :width: 100px :alt: Eurosentiment Logo .. image:: logo_fp7.gif :width: 100px :target: logo_fp7.gif