Update vocca_ai/sentiment.py

vocca_ai/sentiment.py

@@ -1,6 +1,6 @@
 from transformers import pipeline
 
-# Load a better sentiment model
+# Loading a sentiment model
 sentiment_model = pipeline("sentiment-analysis", model="cardiffnlp/twitter-xlm-roberta-base-sentiment")
 
 def analyze_sentiment(text):
@@ -12,10 +12,10 @@ def analyze_sentiment(text):
     if result.lower() == "positive":
         return "Positive"
     elif result.lower() == "negative":
-        return "Concerned"  # Replace "Negative" with a more medically appropriate term
+        return "Concerned" 
     return "Neutral"
 
-# Example Usage
+
 if __name__ == "__main__":
-    sample_text = "I've been feeling really weak and dizzy for the past few days."
+    sample_text = "I've been feeling really weak for the past few days."
     print(f"Sentiment: {analyze_sentiment(sample_text)}")