Rasa Pro CALM Chatbot Deployment

Deploying Rasa Pro CALM Chatbot over Google Cloud Platform using Docker.

For deploying over GCP Compute Engine we need to follow these steps:

• Create the VM instance of Ubuntu over Compute Engine
• Login to the VM using SSH
• Run the below commands and clone our Docker app:

Install Docker

• sudo apt-get update

• curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add

• sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

• sudo apt-get update

• apt-cache policy docker-ce

• sudo apt-get install -y docker-ce

Install Docker-Compose

• sudo curl -L https://github.com/docker/compose/releases/download/1.18.0/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose

• sudo chmod +x /usr/local/bin/docker-compose

Verify Installation

• docker --version

• docker-compose --version

Clone project from GitHub repository:

• git clone https://github.com/Kaivanov21/rasacalm_deployment

Create and upload .env file with Rasa Pro Developer Edition Extended License Key [https://rasa.com/rasa-pro-developer-edition-extended-license-key-request/] and OpenAI API Key [https://platform.openai.com/api-keys]:

RASA_PRO_LICENSE=<your Rasa Pro license goes here>
OPENAI_API_KEY=<your OpenAI API key goes here>

• sudo cp .env rasacalm_deployment

• cd rasacalm_deployment/actions

• chmod +x entrypoint.sh

• cd ..

Install GNU screen:

• sudo apt-get update

• sudo apt-get upgrade

• sudo apt-get install screen

• screen

Build and run Docker app

• sudo docker-compose up --build

Detach screen session using Ctrl + A, and then Ctrl + D.

• Now all the services are up and running, and we can interact with our chatbot by opening the ip address of VM in the browser, changing the address to http:

For example:

http://34.32.2.189/