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Update app.py
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app.py
CHANGED
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@@ -2225,8 +2225,13 @@ def nerBio(text, ModelsSelection, CategoriesSelection, ScoreFilt, EntityLinking,
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# lambda row: f"<a href='{row['namedEntity']}'>{row['word']}</a>" if pd.notnull(row['namedEntity']) else row[
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# 'word'], axis=1)
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#include the expl-rel prefix:
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df_annotated_combined['entity_with_link'] = df_annotated_combined.apply(
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lambda
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'word'], axis=1)
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# Create a new dictionary with the entity information and the link
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# lambda row: f"<a href='{row['namedEntity']}'>{row['word']}</a>" if pd.notnull(row['namedEntity']) else row[
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# 'word'], axis=1)
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#include the expl-rel prefix:
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#df_annotated_combined['entity_with_link'] = df_annotated_combined.apply(
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# lambda row: f"<a href='https://expl-rels-dev-vast.apps.ocpt.jrc.ec.europa.eu/?concept={row['namedEntity']}'>{row['word']}</a>" if pd.notnull(row['namedEntity']) else row[
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# 'word'], axis=1)
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df_annotated_combined['entity_with_link'] = df_annotated_combined.apply(
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lambda
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row: f"<a href='https://api-vast.jrc.service.ec.europa.eu/describe//?url={row['namedEntity']}'>{row['word']}</a>" if pd.notnull(
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row['namedEntity']) else row[
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'word'], axis=1)
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# Create a new dictionary with the entity information and the link
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