Set Up Google Cloud Project

• Navigate to the Google Cloud Console.

 

• Create a new project or select an existing one.

 

• Ensure that the Google Slides API is enabled. You can do this by selecting the Library from the Navigation menu, searching for "Google Slides API," and enabling it.

 

• Under APIs & Services, go to Credentials and create the necessary credentials for OAuth 2.0 client IDs.

 

• Download the JSON file that contains your credentials. This will be used for authenticating your application.

Download and Set Up Meta AI SDK

• First, ensure that Python is installed on your machine. You can download it from here.

 

• Install the Meta API SDK for Python using pip:

pip install meta-ai-sdk

• For Node.js, use npm to install:

npm install @meta/ai-sdk

Authentication with Meta AI SDK

• Using Python, initialize your API client with your Meta credentials:

from meta_ai_sdk import MetaClient

meta_client = MetaClient(api_key='YOUR_META_AI_API_KEY')

• For Node.js, initialize as follows:

const MetaClient = require('@meta/ai-sdk');

const metaClient = new MetaClient({
  apiKey: 'YOUR_META_AI_API_KEY'
});

Link Google Slides and Meta AI

• Use the Google Slides API client library to create a slide or edit existing slides:

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

SCOPES = ['https://www.googleapis.com/auth/presentations']
creds = service_account.Credentials.from_service_account_file('credentials.json', scopes=SCOPES)

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

presentation_id = 'your_presentation_id'
slide_deck = service.presentations().get(presentationId=presentation_id).execute()

• Integrate Meta AI functionalities by embedding AI-generated content or analyses into the slides:

# Example of generating AI content and adding it to a slide
ai_content = meta_client.generate_content(parameters={'input': 'AI content for Google Slides'})

requests = [
    {
        'insertText': {
            'objectId': 'slide_id',
            'text': ai_content,
            'insertionIndex': 0,
        }
    }
]

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

Verification and Testing

• Run your integration to verify that the Meta AI content is correctly generated and inserted into your Google Slides.

 

• Check the content for accuracy and ensure it meets your expectations before completing the presentation.

 

• Debug and troubleshoot any errors that may arise during the integration process using console logs and error messages.

Deploy the Integration

• Once verified, deploy your application or script to an environment where it can automatically update presentations with AI-generated content.

 

• Keep your Meta and Google credentials secure to prevent unauthorized access.

 

• Regularly update dependencies and libraries to ensure compatibility and security.