Integrate IBM Watson with Google Slides

• Ensure you have an IBM Cloud account and API key for accessing IBM Watson services. Sign up at the IBM Cloud website if you don't have an account.

 

• Have a Google Account to access Google Slides. Make sure Google Slides API is enabled for your Google Project in the Google Developer Console.

Set Up IBM Watson

• Log into your IBM Cloud account and navigate to the dashboard. Create a new Watson service (e.g., Watson Assistant or Language Translator) if you have not already. Retrieve your service credentials (API Key and URL) from the service credentials section.

 

• Install the IBM Watson SDK for Python, Node.js, or your preferred language. Here’s how to do it with Python:

  ```shell
  pip install --upgrade ibm-watson
  ```

Set Up Google Slides API

• Go to the Google Developer Console and create a new project. Enable Google Slides API under the “Library” section.

 

• Configure the OAuth 2.0 consent screen and create credentials (OAuth client ID) for a web application. Download the credentials JSON file as you'll need it for authentication.

Authenticate and Connect to Google Slides

• Use the Google API client library to authenticate and manipulate Google Slides. First, install the library:

  ```shell
  pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
  ```

 

• Create a Python script for Google Slides API authentication. Here’s an example setup:

  ```python
  from google.oauth2 import service_account
  from googleapiclient.discovery import build

  Load credentials from file

  SERVICE_ACCOUNT_FILE = 'path_to_your_service_account.json'
  SCOPES = ['https://www.googleapis.com/auth/presentations']

  credentials = service_account.Credentials.from_service_account_file(
  SERVICE_ACCOUNT_FILE, scopes=SCOPES)

  Build the Google Slides service

  service = build('slides', 'v1', credentials=credentials)
  ```

Develop Integration Logic

• To send data from IBM Watson to a Google Slides presentation, start by accessing your IBM Watson instance via its SDK and process or retrieve data as needed.

 

• Once you have the data from IBM Watson, use the Google Slides API to create or update a presentation. Here's a basic example of creating a slide and adding text:

  ```python

  Define the presentation ID and the request body

  presentation_id = 'your_presentation_id'
  requests = [{
  'createSlide': {
  'objectId': 'new_slide_id',
  'insertionIndex': '1',
  'slideLayoutReference': {
  'predefinedLayout': 'TITLE_AND_BODY'
  }
  }
  }, {
  'insertText': {
  'objectId': 'new_slide_id',
  'insertionIndex': 0,
  'text': 'Data from IBM Watson'
  }
  }]

  Execute the batchUpdate request

  body = {
  'requests': requests
  }
  response = service.presentations().batchUpdate(
  presentationId=presentation_id, body=body).execute()
  ```

Testing and Deployment

• Run your script to ensure data flows correctly from IBM Watson to your Google Slides presentation.

 

• Once tested, deploy your integration script in a suitable environment, like a cloud function or a server, that frequently updates your slides from IBM Watson's data.