Update app.py

app.py

@@ -3,14 +3,12 @@ from transformers import pipeline
 from textblob import TextBlob
 from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
 
-# Load pretrained models
 models = {
     'DistilBERT': pipeline('sentiment-analysis', model='distilbert-base-uncased-finetuned-sst-2-english'),
     'TextBlob': None,
     'VADER': None
 }
 
-# Define TextBlob and VADER functions for sentiment analysis
 def textblob_sentiment(text):
     polarity = TextBlob(text).sentiment.polarity
     if polarity > 0:
@@ -33,7 +31,6 @@ def vader_sentiment(text):
 models['TextBlob'] = textblob_sentiment
 models['VADER'] = vader_sentiment
 
-# Create Streamlit interface
 st.title('Sentiment Analysis App')
 
 text = st.text_input('Enter some text')