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| import spacy | |
| import streamlit as st | |
| nlp = spacy.load("en_core_web_sm") | |
| def return_NER(value): | |
| doc = nlp(value) | |
| return [(X.text, X.label_) for X in doc.ents] | |
| # Add title on the page | |
| st.title("Spacy - Named Entity Recognition") | |
| # Ask user for input text | |
| input_sent = st.text_input("Input Sentence", "Your input sentence goes here") | |
| # Display named entities | |
| for res in return_NER(input_sent): | |
| st.write(res[0], "-->", res[1]) |