Update app.py

app.py

@@ -256,7 +256,6 @@
 #             st.subheader(" RAG-Generated Summary")
 #             summary = rag_summarize(collected, summarizer)
 #             st.success(summary)
-
 import streamlit as st
 import pandas as pd
 import re
@@ -333,7 +332,7 @@ def extract_topic_match(query, df):
 # Streamlit UI setup
 st.set_page_config(page_title="IL Trends Q&A", layout="wide")
 st.title("Illinois Legislative Trends Q&A")
-st.markdown("Ask about trends in **topics** like education, higher education, healthcare, etc.")
+st.markdown("Ask about trends in topics like education, higher education, funding, etc.")
 
 # Load data and models
 df = load_data()
@@ -367,7 +366,7 @@ if query:
         if not res:
             st.warning("No relevant insights found.")
         else:
-            st.subheader("🔎 Top Matching Insights")
+            st.subheader("Top Matching Insights")
             collected = []
 
             for idx, score in sorted(res, key=lambda x: x[1], reverse=True)[:5]:
@@ -379,19 +378,20 @@ if query:
                 stance = row['stance_standardized']
                 trend_summary = row['llama_trend_summary'].strip()
                 bill_number = row['bill_number']
-                url = row['full_text_url']
+                url = row['url']
 
                 st.markdown(f"---")
-                st.markdown(f" Date: {date} | Bill Number: `{bill_number}` | Score: {score:.2f}")
+                st.markdown(f" Date: {date} |  Bill Number: `{bill_number}` | Score: {score:.2f}")
                 st.markdown(f"Category: {cat_std}")
                 st.markdown(f"Goal: {goal}")
-                st.markdown(f"Intent: {intent} | Stance: {stance}")
+                st.markdown(f"Intent:** {intent} | Stance: {stance}")
                 st.markdown(f"Trend Summary: {trend_summary}")
                 if pd.notna(url) and url.strip():
-                    st.markdown(f"[ View Full Text]({url})")
+                    st.markdown(f"[ View Full Bill Text]({url})")
 
                 collected.append(row['summary_insight'])
 
             st.subheader(" RAG-Generated Summary")
             summary = rag_summarize(collected, summarizer)
             st.success(summary)
+