Update app.py

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+import pandas as pd
 import transformers
 from transformers import  pipeline, TokenClassificationPipeline, BertForTokenClassification , AutoTokenizer , TextClassificationPipeline , AutoModelForSequenceClassification
 
@@ -204,10 +205,12 @@ edccan = []
 for i in range(len(outrelbl)):
   if outrelbl[i]== "other":
     edccan += [[lstSentEnc[i],lstSentEnt[i][0], lstSentEnt[i][1],lstSentbilbl[i][0]+" "+outrelbl[i][:-7]+" "+lstSentbilbl[i][1]]]
+ 
+edccandf = pd.DataFrame(edccan, columns= ["Sentence", "Entity 1", "Entity 2", "Relation"] )
 
 if x:
   out = token_classifier(x)
-  st.markdown(edccan)
+  st.table(edccandf)