Update app.py

app.py

@@ -11,16 +11,16 @@ st.title('Entity Extraction')
 
 def prediction(raw_text):
   text1= NER(raw_text)
-  st.write("List wise NERs:")
-  st.write("------------------")
-  st.write(f"{'Text' : <10}{'NER' : >10}")
+  #st.write("List wise NERs:")
+  #st.write("------------------")
+  #st.write(f"{'Text' : <10}{'NER' : >10}")
   
   for word in text1.ents:
     st.write(word.text,"\t\t",word.label_)
   print()
   st.write("------------------")
-  st.write("NERs in the sentence:")
-  st.markdown(displacy.render(text1,style="ent"))
+  #st.write("NERs in the sentence:")
+  #st.markdown(displacy.render(text1,style="ent"))
    
   models = ["en_core_web_sm"]
   spacy_streamlit.visualize_ner(text1)