Streamlit Named Entity Recognition (NER) Annotation component
This is a component to assist with the annotation of named entities in an unstructured piece of text.
Installation
pip install st-ner-annotateUsage
Save the following code as app.py and run it with streamlit run app.py.
import streamlit as st
from st_ner_annotate import st_ner_annotate
st.title("Named entity recognition demo")
text = """Manhattan traces its origins to a trading post founded by colonists
from the Dutch Republic in 1624 on Lower Manhattan; the post was named New
Amsterdam in 1626. Manhattan is historically documented to have been purchased
by Dutch colonists from Native Americans in 1626 for 60 guilders, which equals
roughly $1059 in current terms. The territory and its surroundings came under
English control in 1664 and were renamed New York after King Charles II of
England granted the lands to his brother, the Duke of York. New York, based
in present-day Manhattan, served as the capital of the United States from 1785
until 1790. The Statue of Liberty greeted millions of immigrants as they came
to America by ship in the late 19th century and is a world symbol of the United
States and its ideals of liberty and peace. Manhattan became a borough during
the consolidation of New York City in 1898."""
entity_labels = ["LOC", "PERSON", "ORG", "MISC"]
ents = []
current_entity_type = st.selectbox("Mark for Entity Type", entity_labels)
entities = st_ner_annotate(current_entity_type, text, ents, key=42)
st.json(entities)