This section shows how to transfer the files from your AWS S3 bucket to Twelve Labs and index them.

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Note

The platform checks for duplicate files using hashes and will not upload the same video to the same index twice.

Prerequisites

• Before you can download the list of files in your AWS S3 bucket, you must set up an integration.

Procedure

1. Import the required packages into your application:
   PythonNode.js

   from twelvelabs import TwelveLabs
   from twelvelabs.models.task import Task
   

   import { TwelveLabs, Task } from 'twelvelabs-js';
   import * as fs from 'fs';
   

2. Instantiate the SDK client with your API key:
   PythonNode.js

   client = TwelveLabs(api_key="<YOUR_API_KEY>")
   

   const client = new TwelveLabs({ apiKey: '<YOUR_API_KEY>' });
   

3. To perform a cloud-to-cloud transfer, invoke the transfer method of the task object, passing it a string representing the path to your JSON file as a parameter:
   PythonNode.js

   client.task.transfer(file="<YOUR_JSON_FILE>")
   

   client.task.transfer(fs.createReadStream('<YOUR_JSON_FILE>'));
   

Note that, once you've uploaded a video and the platform has finished indexing it, you can provide custom metadata. You can use custom metadata to filter search results or videos.