Modzy provides an AWS S3 connector that makes it possible to process data stored in AWS S3. The examples below demonstrate how to references individual objects, or entire buckets, within an inference job request. Each of these examples demonstrate how to process videos stored on S3 through Modzy's Deep Fake Detection model. To use the examples below, you will need to replace placeholder values with valid inputs:

Replace API_KEY with a valid Modzy API key string
Replace ACCESS_KEY_ID and SECRET_KEY with your AWS credentials
Update the other fields, as necessary, to connect to your S3 bucket
If necessary, replace https://app.modzy.com/ with the URL of your instance of Modzy

AWS S3 - Single Input

curl https://app.modzy.com/api/jobs -X POST \
 -H 'Content-Type: application/json' \
 -H 'Authorization: ApiKey API_KEY' \
 -d '{
      "model": {
        "identifier": "93ltr2oepu",
        "version": "0.0.7"
      },
      "input": {
        "type": "aws-s3",
        "accessKeyID": ACCESS_KEY_ID,
        "secretAccessKey": SECRET_KEY,
        "region": "us-east-1",
        "sources": {
          "sampleVideo": {
            "input.mp4": {
              "bucket": "dev-modzy-demo-data",
              "key": "Deepfake Detection/Seoul - 21985.mp4"
        }
      }
    }
  }
}'

const fs = require('fs');
const modzy = require("@modzy/modzy-sdk");

//Initialize the client
const modzyClient = new modzy.ModzyClient("https://app.modzy.com/api", API_KEY)

//Add information needed to your AWS S3 bucket
const accessKey = ACCESS_KEY_ID;
const secretAccessKey = SECRET_KEY;
const region = "us-east-1";
const bucketName = "dev-modzy-demo-data";
const fileKey = "Deepfake Detection/Seoul - 21985.mp4";

//Create the source object for the Deepfake Detection model
let sources = { "sampleVideo": { "input.mp4": { 'bucket': bucketName, 'key': fileKey } } };

//We submit the video found in S3 to Modzy's Deepfake Detection model (Id: 93ltr2oepu)
modzyClient
  .submitJobAWSS3("93ltr2oepu", "0.0.7", accessKey, secretAccessKey, region, sources)
  .then(
    (job)=>{
      console.log(JSON.stringify(job));
    }
  )
  .catch(
    (error)=>{
      console.error("Modzy job submission failed with code " + error.code + " and message " + error.message);
    }
  );

AWS S3 - Entire Bucket

If you need to process all of the objects within a given folder in bulk, use the aws-s3-folder input type and use the entire folder name as the key instead of a specific file.

curl https://app.modzy.com/api/jobs -X POST \
 -H 'Content-Type: application/json' \
 -H 'Authorization: ApiKey API_KEY' \
 -d '{
      "model": {
        "identifier": "93ltr2oepu",
        "version": "0.0.7"
      },
      "input": {
        "type": "aws-s3-folder",
        "accessKeyID": ACCESS_KEY_ID,
        "secretAccessKey": SECRET_KEY,
        "region": "us-east-1",
        "sources": {
          "sampleVideo": {
            "input.mp4": {
              "bucket": "dev-modzy-demo-data",
              "key": "Deepfake Detection"
        }
      }
    }
  }
}'