cas-visualizer 0.0.8

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Overview

The cas_visualizerlibrary can be used to transform a cassis.Cas object into an annotated html string.

Quick start

from self-contained example :

We start out with a cassis.Cas object that contains the following text:

Die Fernuniversität in Hagen (Eigenschreibweise: FernUniversität) ist die erste und einzige staatliche Fernuniversität in Deutschland. Ihr Sitz befindet sich in Hagen in Nordrhein-Westfalen. Nach Angaben des Statistischen Bundesamtes war sie, ohne Berücksichtigung von Akademie- und Weiterbildungsstudierenden, mit über 76.000 Studierenden im Wintersemester 2016/2017[3] die größte deutsche Universität.[4]

and is annotated with a cassis.TypeSystem annotation:

de.tudarmstadt.ukp.dkpro.core.api.ner.type.NamedEntity

Let's transform this annotation into a spacy-styled highlighted html string:

from visualizer import SpacySpanVisualiser

spacy_span_vis = SpacySpanVisualiser(cas, [])
annotation = 'de.tudarmstadt.ukp.dkpro.core.api.ner.type.NamedEntity'

spacy_span_vis.set_selected_annotations_to_types({'NAMED_ENTITY': annotation})
spacy_span_vis.set_annotations_to_colors({'NAMED_ENTITY': 'lightgreen'})
spacy_span_vis.set_span_type(SpacySpanVisualiser.SPAN_STYLE_HIGHLIGHTING)

html = spacy_span_vis.visualise()

Using streamlit we can then render it.

E.g. st.write(html, unsafe_allow_html=True):

How to publish

1. Increase the version number in pyproject.toml
2. Run poetry build
3. [Optional] If no token is configured:
   • Create an API-Token by visiting: https://pypi.org/manage/account/#api-tokens
   • Replace TOKEN with the string of the API-Token and run poetry config pypi-token.pypi TOKEN
4. Run poetry publish