Update app.py

app.py

@@ -19,7 +19,7 @@ st.write("This application identifies, highlights and categorizes nouns.")
 
 model_list = ['xlm-roberta-large-finetuned-conll03-english', 'xlm-roberta-large']
 
-st.sidebar.header("Vocabulary categorizer")
+st.sidebar.header("Vocabulary Categorizer")
 model_checkpoint = st.sidebar.radio("", model_list)
 
 st.sidebar.write("Which model highlights the most nouns? Which model highlights nouns the most accurately?")
@@ -72,10 +72,10 @@ if Run_Button == True:
         cols_to_keep = ['word','entity','score','start','end']
     df_final = df[cols_to_keep]
     
-    st.subheader("Recognized Nouns")
+    st.subheader("Categorized Nouns")
     st.dataframe(df_final)
     
-    st.subheader("Spacy Style Display")
+    st.subheader("Highlighted Nouns")
     spacy_display = {}
     spacy_display["ents"] = []
     spacy_display["text"] = input_text