ner only

app.py

@@ -7,12 +7,8 @@ import numpy as np
 st.set_page_config(page_title="NLP Prototype")
 st.title("Natural Language Processing Prototype")
 st.write("_This web application is intended for educational use, please do not upload any sensitive information._")
-st.subheader("__Which natural language processing task would you like to try?__")
-st.write("- __Sentiment Analysis:__ Identifying whether a piece of text has a positive or negative sentiment.")
 st.write("- __Named Entity Recognition:__ Identifying all geopolitical entities, organizations, people, locations, or dates in a body of text.")
-st.write("- __Text Classification:__ Placing a piece of text into one or more categories.")
-st.write("- __Text Summarization:__ Condensing larger bodies of text into smaller bodies of text.")
-option = st.selectbox('Please select from the list',('','Sentiment Analysis','Named Entity Recognition', 'Text Classification','Text Summarization'))
+option = st.selectbox('Please select from the list',('','Named Entity Recognition'))
 @st.cache(allow_output_mutation=True, show_spinner=False)
 def Loading_Model_1():
     sum2 = pipeline("summarization",framework="pt")