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authorab <abdullah_ahmed@brown.edu>2019-08-06 16:01:57 -0400
committerab <abdullah_ahmed@brown.edu>2019-08-06 16:01:57 -0400
commit06b59a4ec2f1871846696da22928fc7d54ae02d6 (patch)
tree8aab4903259bc1ccd892125cf927d774e5b5fe45 /src/client/views/nodes/ImageBox.tsx
parenta8a3af0193cc423fc7b0cff4ca9ff1a9074a7998 (diff)
word2vec is functional
Diffstat (limited to 'src/client/views/nodes/ImageBox.tsx')
-rw-r--r--src/client/views/nodes/ImageBox.tsx8
1 files changed, 6 insertions, 2 deletions
diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx
index 7388b532c..161226c0d 100644
--- a/src/client/views/nodes/ImageBox.tsx
+++ b/src/client/views/nodes/ImageBox.tsx
@@ -1,5 +1,5 @@
import { library } from '@fortawesome/fontawesome-svg-core';
-import { faImage, faFileAudio, faPaintBrush, faAsterisk } from '@fortawesome/free-solid-svg-icons';
+import { faImage, faFileAudio, faPaintBrush, faAsterisk, faBrain } from '@fortawesome/free-solid-svg-icons';
import { action, observable, computed, runInAction } from 'mobx';
import { observer } from "mobx-react";
import Lightbox from 'react-image-lightbox';
@@ -31,12 +31,14 @@ import { faEye } from '@fortawesome/free-regular-svg-icons';
import { ComputedField } from '../../../new_fields/ScriptField';
import { CompileScript } from '../../util/Scripting';
import { thisExpression } from 'babel-types';
+import { Recommender } from '../../../server/Recommender';
+import requestPromise = require('request-promise');
var requestImageSize = require('../../util/request-image-size');
var path = require('path');
const { Howl } = require('howler');
-library.add(faImage, faEye, faPaintBrush);
+library.add(faImage, faEye, faPaintBrush, faBrain);
library.add(faFileAudio, faAsterisk);
@@ -253,6 +255,8 @@ export class ImageBox extends DocComponent<FieldViewProps, ImageDocument>(ImageD
return keyterms;
};
CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words"], data, converter);
+ // request recommender
+ //fetch(Utils.prepend("/recommender"), { body: body, method: "POST", headers: { "content-type": "application/json" } }).then((value) => console.log(value));
}
generateMetadata = (threshold: Confidence = Confidence.Excellent) => {