Update app.py

app.py

@@ -9,6 +9,7 @@
 # if text:
 #     out = pipe(text)
 #     st.json(out)
+import streamlit as st
 from transformers import pipeline
 
 # Load the model from the Hugging Face Hub
@@ -19,5 +20,5 @@ text = "Hugging Face Inc. is based in New York City, and its CEO is Clement Dela
 results = ner_pipeline(text)
 
 for entity in results:
-    #print(f"Entity: {entity['word']}, Label: {entity['entity']}, Score: {entity['score']:.4f}")
+    print(f"Entity: {entity['word']}, Label: {entity['entity']}, Score: {entity['score']:.4f}")
     st.json(entity)