Update app.py

app.py

@@ -1,6 +1,6 @@
 from textblob import TextBlob
 from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
-from transformers import pipeline, M2M100ForConditionalGeneration, M2M100Tokenizer, MBart50TokenizerFast, MBartForConditionalGeneration, AutoTokenizer, AutoModelForSequenceClassification
+from transformers import pipeline
 import pandas as pd
 import re
 import streamlit as st
@@ -142,10 +142,9 @@ with model:
             
             theme = theme_classification(text_en, classifier)
 
-            st.write(text_en)
-            st.write("\n")
-            st.write(sentiment)
-            st.write("\n")
+            st.text_area(label="Translation:", value=text_en, height=150)
+            st.text_area(label="Sentiment:", value=sentiment, height=150)
+            st.text_area(label="Theme:", value=theme, height=150)
 
 '''
 with model: