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import spacy
import streamlit as st
# Load your trained SpaCy NER model
nlp = spacy.load('my_ner')
# Define a function to perform NER on user input
def predict_ner(text):
doc = nlp(text)
ents = [(ent.text, ent.label_) for ent in doc.ents]
return ents
# Create the Streamlit app
def main():
st.title("SpaCy NER Demo")
# Add a text input for users to input their text
text = st.text_input("Enter some text:")
# If the user has entered some text, show the NER predictions
if text:
st.write("Predictions:")
ents = predict_ner(text)
for ent in ents:
st.write(ent)
if __name__ == '__main__':
main()
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