Update app.py

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 import tensorflow as tf
 from transformers import pipeline
 from textblob import TextBlob
-from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+from vaderSentiment import SentimentIntensityAnalyzer
 
 classifier = pipeline(task="sentiment-analysis")
 
@@ -36,4 +36,4 @@ if option == 'TextBlob':
 if option == 'Vader':
     #  vader
     sentiment = SentimentIntensityAnalyzer().polarity_scores(textIn)['compound']
-    st.write('According to Vader, input text is ', sentiment)
+    st.write('According to Vader, input text is ', sentiment)