Simple Rasa Bot on Google Cloud

This repository shows how to deploy your Rasa Bot onto Google Cloud Run

Deployment does not include training models

Install gcloud cli

To install the gcloud cli - go to

https://cloud.google.com/sdk/docs/install

Login to google cloud

To login to your google cloud account from command line simply write

gcloud auth login

This will open your browser and you can login.

Create a google cloud project

Now you should create a google cloud project from console.

https://console.cloud.google.com/

Set cloud project as your current project

Now back in the command line, set the current project

gcloud config set project PROJECT_ID

Deploy to Google Cloud Run

https://cloud.google.com/build/docs/deploying-builds/deploy-cloud-run

To deploy, this tutorial is followed. Make sure you have enabled cloud run.

Deploy using Google Cloud Build

In order to deploy using Google Cloud Build, first enable the permissions as described here

https://cloud.google.com/build/docs/deploying-builds/deploy-cloud-run?authuser=3#required_iam_permissions

Once enabled.

Check the file cloudbuild.yaml and replace the project cat-food-finder with your PROJECT-ID

Build a rasa bot

Before deploying, make sure you have a trained model. The image build makes the assumption that you have trained a model locally and using rasa run simply to startup that model in the cloud run container. This is quite important!!!

Deploy using gcloud build

To deploy

run

gcloud builds submit

Upon success, Go to the google cloud console, check Cloud Run and the newly created service, click open and see the URL.

Test the service

Curl the following

curl --location --request POST 'https://YOUR-URL/webhooks/rest/webhook' \
--header 'Content-Type: application/json' \
--data-raw '{
 "sender": "test_user", 
 "message": "I am good"
}'

Response

[
   {
       "recipient_id": "test_user",
       "text": "Great, carry on!"
   }
]