Update app.py

app.py

@@ -31,28 +31,30 @@ else:
             ensembler = ToneEnsembler()
             result = ensembler.predict_emotion(user_input)
 
-            # 🎭 Results
             st.subheader("💫 Your Emotional Reflection")
+
+            # 💬 Empathetic Tone
             st.markdown(f"**Empathetic Tone:** *{result['empathetic'].capitalize()}*")
 
             st.markdown("**Top Empathetic Scores:**")
             for label, score in result["empathetic_scores"].items():
                 st.write(f"{label.capitalize()}: {score:.2f}")
+                st.progress(score)
 
+            # 🎯 GoEmotions Tags
             st.markdown("**GoEmotions Tags:** " + ", ".join(result["goemotions"]))
+
+            # 🍃 Vibe Tags
             st.success("🍃 Vibe Tags: " + ", ".join(result["vibes"]))
 
+            # 🔍 GoEmotions Confidence
             st.markdown("**GoEmotions Confidence Scores:**")
             for label, score in result["goemotions_confidence"].items():
                 native_score = float(score)
-                native_score = max(0.0, min(1.0, native_score))
                 st.write(f"{label.capitalize()}: {native_score:.3f}")
-                st.progress(native_score)
+                st.progress(min(max(native_score, 0.0), 1.0))  # Clamp between 0-1
 
-            # ✨ Sentiment
+            # 💌 Sentiment
             st.subheader("💌 Overall Sentiment")
-            sentiment_label = result["sentiment_label"]
-            sentiment_score = round(result["sentiment_score"] * 100, 2)
-            st.markdown(f"**Predicted Sentiment:** *{sentiment_label.capitalize()}*")
+            st.write(f"Sentiment: **{result['sentiment_label']}**")
             st.progress(result["sentiment_score"])
-            st.write(f"Confidence: {sentiment_score:.2f}%")