Attempting to move docs generation onto travis

# Create the docs and push them to S3

# -----------------------------------

echo "About to install numpydoc, s3cmd"

pip install numpydoc s3cmd msmb_theme

pip install numpydoc s3cmd msmb_theme sphinx_rtd_theme

conda list -e

mkdir -p docs/_build

echo "About to build docs"

sphinx-build -b html docs docs/_build

sphinx-apidoc -f -o docs/source deepchem

sphinx-build -b html docs/source docs/_build

#sphinx-build -b html docs docs/_build

echo "About to push docs to s3"

#source ~/.deeprc

#which python

#which sphinx-build

#~/anaconda/envs/deepchem/bin/python devtools/travis-ci/push-docs-to-s3.py

#bash ../../deepchem-docs-sh

#s3cmd -M -H --config ~/.s3cfg sync docs/_build/ s3://deepchem.io

python devtools/travis-ci/push-docs-to-s3.py

DeepChem

========

.. raw:: html

    <h2 style="margin-top: 1em; font-size: 120%;">

    Deep-learning models for Drug Discovery</h2>

DeepChem is a python library designed to facilitate the use of machine-learning

and deep-learning methods in computational drug discovery. DeepChem is a

package by the Pande_ group at Stanford and originally created by `Bharath

Ramsundar <https://rbharath.github.io>`_. Development and documentation

lives on Github_. DeepChem is licensed under the GNU GPL (v3.0 or later).

What is DeepChem?

-----------------

DeepChem is a python library that aims to make the use of machine-learning in

drug discovery straightforward and convenient. 

About Us

--------

DeepChem is developed by the Pande_ group at Stanford. DeepChem was

originally created by `Bharath Ramsundar <https://rbharath.github.io>`_ and

has grown through the contributions of a number of undergraduate, graduate, and

postdoctoral researchers working with the Pande lab. Development and

documentation live on Github_. 

Licensing and Commercial Uses

-----------------------------

DeepChem is licensed under the GNU GPL (v3.0 or later). We actively support

commercial users. Note that any novel molecular entities found through DeepChem

belong entirely to the user and not to DeepChem developers.

Getting Started With DeepChem

-----------------------------

New users should check out installation_ instructions and examples_ on github.

Feel free to browse the docs_ on this site as well.

.. _installation: https://github.com/deepchem/deepchem/blob/master/README.md#linux-64-bit-installation-from-source

.. _examples: https://github.com/deepchem/deepchem/tree/master/examples

.. _Pande: https://pande.stanford.edu/

.. _Github: https://github.com/pandegroup/deepchem

.. _docs: deepchem.html

.. toctree::

   :maxdepth: 2