Rasa X is Open Source Conversational AI and we had already seen in detail Kuki.ai in our previous blog post.

A chatbot can be used as text (Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing) and voice (AI Talkbot Personal Assistant Using Neural Networks and NLP) for any organization.

You can build this Chabot and run it on your local machine or deploy it on a cloud within a day.

This open-source machine learning framework helps to develop custom conversation AI based on your industry needs.

Rasa has its own Enterprise version with the cost included.

You can check their website for more details.

Let’s start step by step installation:

  1. Create a folder on your drive “freshinstall” (the folder name can be anything).
  2. Go to that folder ““freshinstall” and type as below.

conda create –name rasanewinstall

name rasanewinstall

3. Go to Gibub and download helpdesk assistance zip file and copy it into the new freshinstall folder where we created conda name in step 1.

Helpdesk Assitant - Github

Helpdesk Assitant - Github1

4. a) Open freshinstall folder on MS VisualStudio (if you have installed then you need to instead MS Visual Studio latest version).

b) Open Terminal for freshinstall

c) Type below command and activate conda environment:

conda activate rasanewinstall (which you created in 2nd step)

Activate Conda environment

Note

Note – Before move on to the next step, you need to execute the below command to downgrade pip, because if you use pip >20.2 version (downgrade to pip 20.2) then you may end up error and cannot install rasa x.

Execute the below command to downgrade:

pip install –upgrade pip==20.2

5. Run below command:

pip install rasa-x -i https://pypi.rasa.com/simple

pip install rasa-x

pip install rasa-x 1

6. Go to file in folder helpdesk-assistant-main->endpoints.yml and change line no 14 from http://localhost:5055/webhook to http://127.0.0.1:5055/webhook.

change endpoints from locatlhost

7. Open a new powershell and go to folder helpdesk-assistant-main.  Execute below command.

rasa run actions

rasa run actions

Actions Server Up and Running

Now action server up and running.

8. Go back to Powershell1 (do not close action endpoint running in Powershell2) and launch rasa x

rasa x

Hurray! Rasa X conversational AI will be an open default browser.

Posts on SAP:

Why we like the SAP Business Rule Framework Plus (SAP BRF+) Recipe?

Simple wireframe design for SAP FIORI UI Chatbot

A simple wireframe design for SAP FIORI UI Chatbot – Part II

How to create your own SAP Fiori Chatbot in 10 days?

How SAP Event Management helps the discrete processing industry?