[Glitch] Update Tesseract.js
Port 5fc5a9f9f18872cb0f1b54359338b2e189dd2bb1 to glitch-soc Signed-off-by: Thibaut Girka <thib@sitedethib.com>
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				@ -18,6 +18,8 @@ import { length } from 'stringz';
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import { Tesseract as fetchTesseract } from 'flavours/glitch/util/async-components';
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import GIFV from 'flavours/glitch/components/gifv';
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import { me } from 'flavours/glitch/util/initial_state';
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import tesseractCorePath from 'tesseract.js-core/tesseract-core.wasm.js';
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import tesseractWorkerPath from 'tesseract.js/dist/worker.min.js';
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const messages = defineMessages({
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  close: { id: 'lightbox.close', defaultMessage: 'Close' },
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@ -104,6 +106,7 @@ class FocalPointModal extends ImmutablePureComponent {
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    dirty: false,
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    progress: 0,
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    loading: true,
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    ocrStatus: '',
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  };
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  componentWillMount () {
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@ -219,11 +222,18 @@ class FocalPointModal extends ImmutablePureComponent {
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    this.setState({ detecting: true });
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    fetchTesseract().then(({ TesseractWorker }) => {
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      const worker = new TesseractWorker({
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        workerPath: `${assetHost}/packs/ocr/worker.min.js`,
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        corePath: `${assetHost}/packs/ocr/tesseract-core.wasm.js`,
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        langPath: `${assetHost}/ocr/lang-data`,
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    fetchTesseract().then(({ createWorker }) => {
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      const worker = createWorker({
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        workerPath: tesseractWorkerPath,
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        corePath: tesseractCorePath,
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        langPath: assetHost,
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        logger: ({ status, progress }) => {
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          if (status === 'recognizing text') {
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            this.setState({ ocrStatus: 'detecting', progress });
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          } else {
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            this.setState({ ocrStatus: 'preparing', progress });
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          }
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        },
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      });
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      let media_url = media.get('url');
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@ -236,12 +246,18 @@ class FocalPointModal extends ImmutablePureComponent {
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        }
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      }
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      worker.recognize(media_url)
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        .progress(({ progress }) => this.setState({ progress }))
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        .finally(() => worker.terminate())
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        .then(({ text }) => this.setState({ description: removeExtraLineBreaks(text), dirty: true, detecting: false }))
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        .catch(() => this.setState({ detecting: false }));
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    }).catch(() => this.setState({ detecting: false }));
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      (async () => {
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        await worker.load();
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        await worker.loadLanguage('eng');
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        await worker.initialize('eng');
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        const { data: { text } } = await worker.recognize(media_url);
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        this.setState({ description: removeExtraLineBreaks(text), dirty: true, detecting: false });
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        await worker.terminate();
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      })();
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    }).catch((e) => {
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      console.error(e);
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      this.setState({ detecting: false });
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    });
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  }
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  handleThumbnailChange = e => {
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@ -261,7 +277,7 @@ class FocalPointModal extends ImmutablePureComponent {
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  render () {
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    const { media, intl, account, onClose, isUploadingThumbnail } = this.props;
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    const { x, y, dragging, description, dirty, detecting, progress } = this.state;
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    const { x, y, dragging, description, dirty, detecting, progress, ocrStatus } = this.state;
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    const width  = media.getIn(['meta', 'original', 'width']) || null;
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    const height = media.getIn(['meta', 'original', 'height']) || null;
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@ -282,6 +298,13 @@ class FocalPointModal extends ImmutablePureComponent {
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      descriptionLabel = <FormattedMessage id='upload_form.description' defaultMessage='Describe for the visually impaired' />;
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    }
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    let ocrMessage = '';
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    if (ocrStatus === 'detecting') {
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      ocrMessage = <FormattedMessage id='upload_modal.analyzing_picture' defaultMessage='Analyzing picture…' />;
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    } else {
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      ocrMessage = <FormattedMessage id='upload_modal.preparing_ocr' defaultMessage='Preparing OCR…' />;
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    }
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    return (
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      <div className='modal-root__modal report-modal' style={{ maxWidth: 960 }}>
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        <div className='report-modal__target'>
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@ -333,7 +356,7 @@ class FocalPointModal extends ImmutablePureComponent {
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              />
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              <div className='setting-text__modifiers'>
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                <UploadProgress progress={progress * 100} active={detecting} icon='file-text-o' message={<FormattedMessage id='upload_modal.analyzing_picture' defaultMessage='Analyzing picture…' />} />
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                <UploadProgress progress={progress * 100} active={detecting} icon='file-text-o' message={ocrMessage} />
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              </div>
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            </div>
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