Update app.py

app.py

@@ -2,6 +2,7 @@ import spacy
 import json
 from datetime import datetime
 import streamlit as st
+import pandas as pd
 
 nlp = spacy.load('la_core_web_lg')
 
@@ -45,20 +46,9 @@ if st.button("Annotate"):
         st.write(segmented_text)
         st.subheader("Annotated Text:")
 
-        for token in annotated_text:
-            st.write(f"Token: {token['token']}")
-            st.write(f"POS: {token['pos']}")
-            st.write(f"Lemma: {token['lemma']}")
-            st.write(f"Aspect: {''.join(token['aspect'])}")
-            st.write(f"Tense: {''.join(token['tense'])}")
-            st.write(f"VerbForm: {''.join(token['verbForm'])}")
-            st.write(f"Voice: {''.join(token['voice'])}")
-            st.write(f"Mood: {''.join(token['mood'])}")
-            st.write(f"Number: {''.join(token['number'])}")
-            st.write(f"Person: {''.join(token['person'])}")
-            st.write(f"Case: {''.join(token['case'])}")
-            st.write(f"Gender: {''.join(token['gender'])}")
-            st.write("-----")
+        # Create a DataFrame from the annotated text
+        df = pd.DataFrame(annotated_text)
+        st.dataframe(df)
 
     else:
         st.warning("Please enter some text.")