= AI Chatbot

PWA AI chat bot, based on the http://rasa.com[RASA] framework.

== Installation

==== Python

RASA stack is written in python so first make sure you have it installed

====== Unix

• python 3
• make
• A proper C/C++ compiler toolchain, like GCC

====== Mac OS X

• python
• Xcode
• You also need to install the Command Line Tools via Xcode. You can find this under the menu Xcode -> Preferences -> Downloads
• This step will install gcc and the related toolchain containing make

====== Windows

• python 3
• https://github.com/felixrieseberg/windows-build-tools[windows-build-tools]
• Install all the required tools and configurations using Microsoft's windows-build-tools using from an elevated PowerShell or CMD.exe (run as Administrator).

==== RASA

We're going to need rasa_core, rasa_nlu[spacy] packages and english language pack for rasa_nlu.

Follow the official https://core.rasa.ai/installation.html#installation[documentation] to install rasa_core package.

Rasa_nlu package and english language pack installations are described http://rasa-nlu.readthedocs.io/en/latest/installation.html[here]

==== Application

When everything is installed, deploy the application to Enonic XP with the following command:

gradle deploy

== Usage

First we need to start rasa server by navigating to the project root and typing in console:

npm run server

After server is up and running login to Enonic XP and navigate to:

http://localhost:8080/app/com.enonic.app.chatbot

== Deployment with docker To use docker for deployment, build and launch the container with the following commands:

Build the container.

docker build -t chatbot .

Start the docker container with the following command

docker run -d -p "7454:7454" chatbot