// Replace <account_owner_name> with  the  user name of the Creator accounts owner.
 // Replace <app_link_name> the link name of the target application.
 // Replace <report_link_name> with  the link name of the target report.
 // Replace <record_ID > with the ID of the record from which you want to download the file.
 // Replace <field_link_name> with the link name of the target file upload or image field.

 image_file  =  invokeurl
     [
     url: "https://creator.zoho.com/api/v2/<account_owner_name>/<app_link_name>/report/<report_link_name>/<record_ID>/<field_link_name>/download"
     type : GET
     connection: "creator_oauth_connection"
     ];
 
  attribute_list  =  List();
  attribute_list.add("gender");
  attribute_list.add("emotion");
  attribute_list.add("pose");
 
  response  =  zoho.ai.detectFace(image_file,  false,  attribute_list);

 image_file  =  invokeurl
     [
        url : "https://ylpapp.isb.edu/user/Passport_photo_samples/Sample-9---wrong.jpg"
     ];
 // Create a variable to store the response.
 response  =  zoho.ai.detectFace(image_file,  false);
 // Fetch the "numFacesFound" data from response using get() function.
 number_of_faces  =  response.get("numFacesFound");

 image_file  =  invokeurl
     [
      url : "https://media.istockphoto.com/photos/diverse-human-faces-picture-id1187245319?k=20&m=1187245319&s=612x612&w=0&h=byaOZWGwYLZI3YoGagQEiFds05DHjmcRfSynTeTrPe4="
      type : GET
     ];
 // Create a variable -face_data to store the data as list by using get() and toList() function.
 face_data  =   zoho.ai.detectFace(image_file, false, {"emotion"}).get("data").toList();
  count  =  0;
 // Create a variable - total_face to stores the total face count in the image using size() function.
 total_face  =  face_data.size(); 

  for each  index  face  in  face_data
  {
     detect_emotion  =  face_data.get(face).get("emotion").get("prediction");

     if(detect_emotion  ==  "happy")
     {
         count  =  count + 1;
     }
  }

  if(count  >  total_face / 2)
  {
     response  =  "The seminar was engaging";
  }
  else
  {
     response  =  "The seminar was not engaging";
  }

// url - Contains the download file API I URL to download the uploaded image 
// account_owner_name - Replace with the  user name of the Creator account. 
// app_link_name - Replace with the link name of the target application. 
// report_link_name - Replace with the link name of the target report. 
// record_ID - Replace with the ID of the record from which you want to download the file. 
// field_link_name - Replace with the link name of the target file upload or image field. 

 image_file  =  invokeurl 
     [ 
       url: "https://creator.zoho.com/api/v2/<account_owner_name>/<app_link_name>/report/<report_link_name>/<record_ID>/<field_link_name>/download" 
       type : GET 
       connection: "zoho_oauth_connection" 
      ]; 
       
// Create a variable to store the data of prominent face 
detect_emotion  =  zoho.ai.detectFace(image_file,true,{"emotion"}).getJson("data").getJson("emotion").getJson("prediction"); 

// Specify a form field where the emotion needs to be populated. 
// Replace "predicted_emotion" with your single line field_link_name . 
 input.predicted_emotion  =  detect_emotion;