• Modified sklearn classifier to use spacy embeddings
• Upgraded flask version
• Upgraded flask version, change spacy model to md
• Added create_app for app factory, setup unit test module, removed blinker dependency

• Enhancements in Chat widget
• PEP-8

Intent classifier using supervised embeddings.

The embedding intent classifier embeds user inputs
and intent labels into the same space.
Supervised embeddings are trained by maximizing similarity between them.
It also provides rankings of the labels that did not "win".

Based on the starspace idea from: https://arxiv.org/abs/1709.03856.
However, in this implementation the `mu` parameter is treated differently
and additional hidden layers are added together with dropout.

Huge thanks to Rasa NLU guys for this amazing code. I merely created a wrapper.
Source: https://github.com/RasaHQ/rasa_nlu

With latest features, now its possible to create fully functional agent that handles a single Intent/Conversation

This release brings in a new face to the project. We have made lots of changes such as new Angular 5 UI, Pep8 compliance, code cleanups, better NER annotation etc.

This is the final release prior to the new version 2.0