Update app.py

app.py

@@ -1,11 +1,10 @@
 import streamlit as st
-from nltk.sentiment.vader import SentimentIntensityAnalyzer
 import nltk
+from nltk.sentiment.vader import SentimentIntensityAnalyzer
 
 # Ensure the VADER lexicon is downloaded
 nltk.download('vader_lexicon')
 
-
 class SentimentAnalyzer:
     def __init__(self):
         self.analyzer = SentimentIntensityAnalyzer()
@@ -13,11 +12,10 @@ class SentimentAnalyzer:
     def analyze_sentiment(self, sentence):
         return self.analyzer.polarity_scores(sentence)
 
-
 def fool():
     analyzer = SentimentAnalyzer()
 
-    st.title("Sentiment Analysis App")
+    st.title("Sentiment Analysis App using VADER")
     st.write("Enter a sentence to analyze its sentiment:")
 
     # Input text box for user input
@@ -27,7 +25,7 @@ def fool():
         if sentence:
             # Perform sentiment analysis
             result = analyzer.analyze_sentiment(sentence)
-
+            
             # Interpret sentiment label
             compound_score = result['compound']
             if compound_score >= 0.05:
@@ -36,10 +34,9 @@ def fool():
                 sentiment_type = 'Negative'
             else:
                 sentiment_type = 'Neutral'
-
+            
             # Display sentiment analysis result
             st.write(f"Sentiment: {sentiment_type}, Score: {compound_score:.4f}")
 
-
 # Call fool function directly if the script is executed
 fool()