Update app.py

app.py

@@ -342,10 +342,10 @@ if st.session_state.results_a and st.session_state.results_b:
         st.markdown("#### Source A Breakdown")
         m1, m2 = st.columns(2)
         m3, m4 = st.columns(2)
-        m1.metric("Subjectivity", f"{r_a['subjectivity_score']:.2f}")
-        m2.metric("Primary Emotion", r_a['primary_tone'].title())
-        m3.metric("Framing Lens", r_a['primary_theme'].title())
-        m4.metric("Reading Ease", f"{r_a['reading_ease']:.1f}")
+        m1.metric("Subjectivity", f"{r_a['subjectivity_score']:.2f}", help="0 is objective, 1 is highly opinionated.")
+        m2.metric("Primary Emotion", str(r_a['primary_tone']).title())
+        m3.metric("Framing Lens", str(r_a['primary_theme']).title())
+        m4.metric("Reading Ease", f"{r_a['reading_ease']:.1f}", help="0-30 is college graduate level, 60-70 is 8th grade.")
 
         st.plotly_chart(_create_sentiment_gauge(r_a["sentiment_score"], "Sentiment Bias"), use_container_width=True, key="gauge_a")
 
@@ -359,10 +359,10 @@ if st.session_state.results_a and st.session_state.results_b:
         st.markdown("#### Source B Breakdown")
         m1, m2 = st.columns(2)
         m3, m4 = st.columns(2)
-        m1.metric("Subjectivity", f"{r_b['subjectivity_score']:.2f}")
-        m2.metric("Primary Emotion", r_b['primary_tone'].title())
-        m3.metric("Framing Lens", r_b['primary_theme'].title())
-        m4.metric("Reading Ease", f"{r_b['reading_ease']:.1f}")
+        m1.metric("Subjectivity", f"{r_b['subjectivity_score']:.2f}", help="0 is objective, 1 is highly opinionated.")
+        m2.metric("Primary Emotion", str(r_b['primary_tone']).title())
+        m3.metric("Framing Lens", str(r_b['primary_theme']).title())
+        m4.metric("Reading Ease", f"{r_b['reading_ease']:.1f}", help="0-30 is college graduate level, 60-70 is 8th grade.")
 
         st.plotly_chart(_create_sentiment_gauge(r_b["sentiment_score"], "Sentiment Bias"), use_container_width=True, key="gauge_b")