Update app.py

app.py

@@ -1,8 +1,11 @@
 import gradio as gr
-from nltk.sentiment import SentimentIntensityAnalyzer
+import nltk
+
+# Download the VADER lexicon
+nltk.download('vader_lexicon')
 
-# Load sentiment analysis model
-sia = SentimentIntensityAnalyzer()
+# Rest of your code
+from nltk.sentiment import SentimentIntensityAnalyzer
 
 # Text to Speech
 title = "Text to Speech with Sentiment Analysis"
@@ -13,6 +16,7 @@ tts_examples = [
 
 def get_sentiment(text):
     # Get sentiment score
+    sia = SentimentIntensityAnalyzer()
     sentiment_score = sia.polarity_scores(text)["compound"]
 
     # Adjust speech synthesis parameters based on sentiment