# rasa-gcloud-deploy

**Repository Path**: Cpdc1/rasa-gcloud-deploy

## Basic Information

- **Project Name**: rasa-gcloud-deploy
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-13
- **Last Updated**: 2024-07-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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

```sh
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!"
    }
]
```