Induction Process Using Chatbot

To digitalize Induction Process

Getting Started

-For running the chatbot local machine do the following
	-Be in project directory
	-Start action server by using the command
		-rasa run actions
	-Run the chatbot in debug mode by using the following command
		-rasa shell --debug
	-For adding search keywords in lookup file(i.e. documents & video titles etc) update the lookup.txt file ./data/lookup
	-Schema of the mongodb Document:
	{
		"_id": { "bsonType": BSON.ObjectId() }
		"keyword": {"bsonType": "string"},
		"description":{"bsonType": "string"}
	}
	-Adding a document: 
	{
		"_id":{"$oid":"5f37ef25bb3dfbd192cc2d45"},
		"keyword":"Search Keyword you want to add i.e. video/document title",
		"description":"That video link"
	}
	-For adding Western Union Description update utter_displayAbouWU text in Domain.yml file

Prerequisites

-For the project we need
	-python 3.7
	-Rasa Framework install by the following command
		-pip install rasa
	-MongoDB for Database

Installing

-To run the command line app follow the instructions
-Be in project directory
-Start action server by using the command
	-rasa run actions
-Run the chatbot in debug mode by using the following command
	-rasa shell --debug
-Start the Rasa Chatbot Server By running the following command
	-rasa run -m models --endpoints endpoints.yml --port 5002 --credentials credentials.yml(specify port where you want to run rasa server)
-Run Chatbot.py

Built With

• Rasa - The Chatbot Framework
• MongoDB - For Database