Update app.py

app.py

@@ -85,7 +85,8 @@ def get_emotional_tone_tag(emotions, sentiment, patterns, abuse_score=0):
 # Main function
 def analyze_message(text):
     preprocessed = preprocess_sentiment_text(text)
-    sentiment = sst_result[0]  # get the first result
+    sst_result = sst_classifier(preprocessed)
+    sentiment = sst_result[0]
     sentiment_label = "supportive" if sentiment["label"] == "POSITIVE" else "undermining"
     sentiment_score = round(sentiment["score"] * 100, 2)