Create app.py

app.py

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+import spacy
+import streamlit as st
+
+# Load your trained SpaCy NER model
+nlp = spacy.load('your_model_name')
+
+# 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()
+