RASA framework implementation research
rasa is the framework. It is comprised of two distinct parts:
NLU which processes natural language understanding tasks to generate a language model,
and Core which processes the expression.
both are trained separately.
rasa x is the interface that helps users manage, train and deploy their rasa model.
get last chatbot_pptech repo update,
from local scp repo to AWS instance at /home/ubuntu/chatbot/,
from the aws_instance/chatbot/chatbot_pptech folder, install necessary requirements and train:
open 1st terminal on your computer and:
cd /home/ubuntu/chatbot/chatbot_pptech
screen
conda activate rasa
rasa run actions
open 2nd terminal on your computer and:
cd /home/ubuntu/chatbot/chatbot_pptech
screen
conda activate rasa
rasa x
you can close the terminals
to reconnect to "screened" terminals open terminal and:
screen -ls lists terminals, get ids,
screen -r { id } returns to "screened" terminal
password provided in terminal to connect
go to <aws_instance/password>:port