Installation

Install the npm package:

npm i sensifai-sdk-ngx --save

Import module:

import { SensifaiSdkNgxModule } from 'sensifai-sdk-ngx';

@NgModule({
  imports: [ SensifaiSdkNgxModule ]
});

Sample Usage

The following example will set up the client and predict video or image attributes. First of all, you need to import the library and define an instance as mentioned above. You can get a free limited token from Developer Panel by creating an application. Then, if you want to process Data by URL you can call uploadByUrls like the below sample code.

/** This Function Return a Json Result **/
constructor( private sdk : SensifaiSdkNgxService ){}

const urls_list = ['https://url1.png', 'http://url2.jpg'];
this.sdk.uploadByUrls( urls_list, 'YOUR_APPLICATION_TOKEN', function (res) {
  console.log(res);
}, function (err) {
  console.log(err);
});

Also, if you want to process Data by File, you can call uploadByFiles like the following sample code.

<input type="file" multiple (change)="fileInputOnChange( $event )">

/** This Function Return a Json Result **/
constructor( private sdk : SensifaiSdkNgxService ){}

fileInputOnChange( event ){
  this.sdk.uploadByFiles( event, 'YOUR_APPLICATION_TOKEN', function (res) {
    console.log(res);
  }, function (err) {
    console.log(err);
  });
}

at the end, to retrieve the result of a task, pass it through getResultByTaskID. Please don't forget to pass a single TaskID! this function won't work with a list of task id.

/** This Function Return a Json Result **/
constructor( private sdk : SensifaiSdkNgxService ){}

const TaskID = 'XXXX-XXX-XXXX-XXXX';
this.sdk.getResultByTaskID( TaskID, function (res) {
  console.log(res);
}, function (err) {
  console.log(err);
});