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).
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.
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.gsi.upm.es/>`_
@ -43,20 +41,36 @@ Alternatively, you can use the development version:
cd senpy
pip install --user .
If you want to install senpy globally, use sudo instead of the ``--user`` flag.
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``.
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 -f /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 -f /plugins``
Compatibility
-------------
Senpy should work in any major operating system.
Its code is pure Python, and the only limitations are imposed by its dependencies (e.g., nltk, pandas).
Currently, the CI/CD pipeline tests the code on:
* GNU/Linux with Python versions 3.4, 3.5, 3.6 and 3.7
* MacOS and homebrew's python3
* Windows 10 and chocolatey's python3
The latest PyPI package is verified to install on Ubuntu, Debian and Arch Linux.
If you have trouble installing Senpy in your platform, see `Having problems?`_.
Developing
----------
Developing/debugging
********************
Running/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
@ -119,7 +133,7 @@ or, alternatively:
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.
Alternatively, you can use the modules included in Senpy to build your own application.
Deploying on Heroku
-------------------
@ -127,9 +141,6 @@ 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>`_.
J. Fernando Sánchez
5 years ago