Update app.py

app.py

@@ -87,8 +87,9 @@ def analyze_message(text):
     preprocessed = preprocess_sentiment_text(text)
     sst_result = sst_classifier(preprocessed)[0]  # <- this line was missing!
     
-    sentiment_label = "supportive" if sst_result["label"] == "POSITIVE" else "undermining"
-    sentiment_score = round(sst_result["score"] * 100, 2)
+    sst_output = sst_classifier(preprocessed)
+    sentiment = sst_output[0]
+    sentiment_label = "supportive" if sentiment["label"] == "POSITIVE" else "undermining"
 
     emotions = get_emotion_profile(text)
     emotion_summary = "\n".join([f"{k.title()}: {v:.2f}" for k, v in emotions.items()])