Run

To run the program once installed

python BitLit_decoder.py HiBitLit.pmdl

This will start snowboy listening for the phrase "Hi BitLit". Then it will ask for seed phrases for a poem.

Setup

• clone the repositry

Requirements:

• Python3, pip
• for mac
  • Brew (mac: sudo apt-get install linuxbrew-wrapper)
  • PIP (sudo apt-get install python-pip)
  • PortAudio (mac: brew install portaudio)
• for ubuntu:
  • PortAudio (sudo apt install portaudio19-dev python3-portaudio)
• AVbin, any version (for pyglet) from http://avbin.github.io/AVbin/Download.html
• python packages pip install -r requirements.txt
• snowboy v1.1.1
  • either get
    • a precompiled version for you platform and python version here (http://docs.kitt.ai/snowboy/#downloads)
    • or compile it yourself by cloning the repo, then going into swig/python and running make (sudo apt install python3-all-dev)
  • Copy the resources folder and the compiled files into the snowboy subdirectory.

API Keys:

• cp secrets.template.json to secrets.json
• get an API key for google cloud
  • make a project or use an existing project
  • download a credentials json for that project (using edit, create key) https://console.cloud.google.com/apis/api/speech.googleapis.com/credentials
  • enable the speech recognition api for that project (make sure you've selected your project) https://console.cloud.google.com/apis/api/speech.googleapis.com/overview
  • place the credientials json at this path ./secrets/google_cloud_credintials.json
  • never commit this file!

Tree

When setup the layout should look something like

    ├── BitLit_decoder.py
    ├── BitLit_main.py
    ├── BitLit_main.pyc
    ├── BitLit_model_param.py
    ├── BitLit_model_param.pyc
    ├── HiBitLit.pmdl
    ├── README.md
    ├── logger.py
    ├── logger.pyc
    ├── outputs
    ├── poem_generator.py
    ├── poem_generator.pyc
    ├── requirements.txt
    ├── secrets
    │   ├── google_cloud_credentials.json
    │   └── google_cloud_credentials.template.json
    ├── snowboy
    │   ├── _snowboydetect.so
    │   ├── resources
    │   │   ├── alexa.umdl
    │   │   ├── alexa_02092017.umdl
    │   │   ├── common.res
    │   │   ├── ding.wav
    │   │   ├── dong.wav
    │   │   └── snowboy.umdl
    │   ├── snowboydetect.py
    │   └── snowboydetect.pyc
    ├── snowboydecoder.py
    ├── snowboydecoder.pyc
    └── weights
      ├── model_poems.npy
      └── model_rhymes.npy

TODO

• make sure text logging works
• improve before and after text
• it start recording while prompt is playing?