# Make sure you have setuptools for python: https://pypi.python.org/pypi/setuptools

# All of these commands are run from the base folder (speakpython), wherever you clone it to

#For easy installation, try to run:
sudo sh setup.sh

###################################
# install antlr3.4 python runtime #
###################################
    cd antlr-3.4/runtime/Python
    sudo python setup.py install

#NOTE: You can stop here if you don't care about speech recognition support and just desire usage of the text-based capabilities of SpeakPython

####################
# install GStreamer#
####################

# Install GStreamer using:
    sudo apt-get install python-gst0.10 gstreamer-0.10 \
            gstreamer0.10-plugins-good gstreamer0.10-plugins-ugly

        sudo apt-get install gstreamer0.10-pocketsphinx

#needed for ./configure in next step
        sudo apt-get install bison

#needed for make
        sudo apt-get install make
        sudo apt-get install python-dev
        sudo apt-get install swig

######################
# install sphinxbase #
######################
    tar -xf sphinxbase-5prealpha.tar.gz
    cd sphinxbase-5prealpha
    ./configure
    make clean
    make
    sudo make install

########################
# install pocketsphinx #
########################
    tar -xf pocketsphinx-5prealpha.tar.gz
    cd pocketsphinx-5prealpha
    ./configure
    make clean
    make
    sudo make install

# Install pocketsphinx for Python
        sudo apt-get install python-pocketsphinx
    ##OR
        sudo apt-get install python-pip
        sudo pip install pocketsphinx

# Configure shared library paths
    export LD_LIBRARY_PATH=/usr/local/lib
    export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig

    export GST_PLUGIN_PATH=/usr/local/lib/gstreamer-0.10

# Make sure there's a pocketsphinx configuration (should output a folder called 'model')
    ls /usr/share/pocketsphinx/

# If this folder exists, we can replace it with the command below
#this will replace the existing model with one trained with suitable data for our application
# wsj1 is by default the ptm version of cmu-us-en-5.2, utilize untar and use the non-ptm version for slower, more resource-intensive, and accurate recognition
    sudo cp -r wsj1 /usr/share/pocketsphinx/model/hmm/

#Install g2p.py for word to phoneme conversion (optional)
    cd Sequitur-g2p/g2p
    sudo python setup.py install --prefix /usr/local

    #Sticks MakeSpeechProject.py, SpeakPython (whole folder), SpeakPythonMakeDB.py inside of the project where your main python application rests.
    cp speakpython/SpeakPython/bin/* [my project directory]