Updated Spark README

spark/README.md

@@ -4,24 +4,47 @@
 
 ### Prerequisites
 
-In order, to setup this integration, you must do the following first:
-- Create a [Spark account](https://teams.webex.com/signin)
-- Clone the [git repo](https://OUR_GIT_REPO)
+- Follow the instructions on the [main README file](https://github.com/GoogleCloudPlatform/dialogflow-integrations#readme) in the root directory of this repository.
+- Create a [Spark account](https://teams.webex.com/signin).
+- Replace the value of __projectId__ in the [server.js file](https://github.com/GoogleCloudPlatform/dialogflow-integrations/blob/03676af04840c21c12e2590393d5542602591bee/spark/server.js#L36) with your Dialogflow agent’s Project ID.
 
-### Create the Spark Bot
+### Creating a Spark Bot
 
-Login to Spark and go the
-[New Bot page](https://developer.webex.com/my-apps/new/bot). Fill in the
-required fields with what you want, and then click the Add Bot button. On the
-next screen you should see a box with your __bot's access Token__. Set the
-constant sparkAccessToken in server.js to this value.
+Log in to Spark and go to the [New Bot page](https://developer.webex.com/my-apps/new/bot). Fill in the required fields and then click the "Add Bot" button. 
 
 ![alt text](images/spark-create-the-spark-bot.png)
 
-### Setting the URL
+On the next screen, take the value for your bot’s __access Token__ and replace the value for __sparkAccessToken__ in the [server.js file](https://github.com/GoogleCloudPlatform/dialogflow-integrations/blob/03676af04840c21c12e2590393d5542602591bee/spark/server.js#L34).
 
-Set the constant targetUrl in server.js to your server's URL that you will use
-for your webhook. If you are using Google's Cloud Run to obtain your URL, deploy
-your server according to the instructions in the main README file first. This
-should give you your URL. Then, update your container and redeploy after you
-have added the URL to server.js.
+
+### Deploying the Integration Using Cloud Run
+
+In your local terminal, change the active directory to the repository’s root directory.
+
+Run the following command to save the state of your repository into [GCP Container Registry](https://console.cloud.google.com/gcr/). Replace PROJECT-ID with your agent’s GCP Project ID and PLATFORM with the platform subdirectory name.
+
+```shell
+gcloud builds submit --tag gcr.io/PROJECT-ID/dialogflow-PLATFORM
+```
+
+Deploy your integration to live using the following command. Replace PROJECT-ID with your agent’s GCP project Id, PLATFORM with the platform subdirectory name, and YOUR_KEY_FILE with the name (not path) of your Service Account JSON key file.
+
+```shell
+gcloud beta run deploy --image gcr.io/PROJECT-ID/dialogflow-PLATFORM --update-env-vars GOOGLE_APPLICATION_CREDENTIALS=YOUR_KEY_FILE --memory 1Gi
+```
+
+- When prompted for a target platform, select a platform by entering the corresponding number (for example, ``1`` for ``Cloud Run (fully managed)``).
+ - When prompted for a region, select a region (for example, ``us-central1``).
+ - When prompted for a service name hit enter to accept the default,
+ - When prompted to allow unauthenticated invocations press ``y``,
+ - Copy the URL given to you, and use it according to the README file in the
+ given integration's folder.
+
+Take the value for the server URL printed in the console after the completion of the execution of the above command and replace the value for __targetUrl__ in the [server.js file](https://github.com/GoogleCloudPlatform/dialogflow-integrations/blob/03676af04840c21c12e2590393d5542602591bee/spark/server.js#L35). 
+
+Redeploy the integration with the updated change by rerunning the above two commands. 
+
+More information can be found in Cloud Run
+[documentation](https://cloud.google.com/run/docs/deploying).
+
+You can view a list of your active integration deployments under [Cloud Run](https://console.cloud.google.com/run) in the GCP Console.