Format output to table

app.py

@@ -1,9 +1,13 @@
 import streamlit as st
+import pandas as pd
 from elemeta.nlp.metadata_extractor_runner import MetadataExtractorsRunner
 
 metadata_extractor_runner = MetadataExtractorsRunner()
 txt = st.text_input('Enter some text 👇', 'I Love Elemeta!')
-
 if txt:
     features = metadata_extractor_runner.run(txt)
-    st.write(features)
+    features = pd.DataFrame([features]).T
+    features = features.rename(columns={0: 'value'})
+    features.index.name = 'feature'
+    st.write('Features:')
+    st.dataframe(features, height=1000, use_container_width=True)