Update app.py

app.py

@@ -16,12 +16,12 @@ def clean_text(text):
 
 @st.cache_data
 def load_data():
-    df = pd.read_csv("Illinois_Standardized_Final.csv")
+    df = pd.read_csv("Illinois_Standardized_Final_with_Llama.csv")
     df['status_date'] = pd.to_datetime(df['status_date'], format='%d-%m-%Y', errors='coerce')
     df = df.dropna(subset=['status_date'])
-    # df["llama_trend_summary"] = df["llama_trend_summary"].fillna("")
-    # df["llama_insight"] = df["llama_insight"].fillna("")
-    # df["summary_insight"] = df["llama_trend_summary"] + "\n" + df["llama_insight"]
+    df["llama_trend_summary"] = df["llama_trend_summary"].fillna("")
+    df["llama_insight"] = df["llama_insight"].fillna("")
+    df["summary_insight"] = df["llama_trend_summary"] + "\n" + df["llama_insight"]
     return df
 
 @st.cache_resource
@@ -124,8 +124,8 @@ if query:
                 description = row['description']
                 summary = row['summary']
 
-                # trend = clean_text(row['llama_trend_summary'])
-                # insight = clean_text(row['llama_insight'])
+                trend = clean_text(row['llama_trend_summary'])
+                insight = clean_text(row['llama_insight'])
 
                 st.markdown(f"**Date:** {date} | **Bill Number:** {bill_number} | **Score:** {score:.2f}")
                 st.markdown(f"**Category:** {cat}")
@@ -137,13 +137,13 @@ if query:
                 st.markdown(f"**Policy Impacy Area:** {impact}")
                 st.markdown(f"**Key Provision:** {provision}")
                 st.markdown(f"**Description:** {description}")
-                # st.markdown(f"**Summary:** {summary}")
-                # st.markdown(f"Trend Summary:{trend}")
+                st.markdown(f"**Summary:** {summary}")
+                st.markdown(f"Trend Summary:{trend}")
                 st.markdown(f"Actionable Insight:{insight}")
                 st.markdown(f"[View Full Bill Text]({full_url})\n")
                 st.divider()
 
-                # collected.append(row['summary_insight'])
+                collected.append(row['summary_insight'])
 
             st.subheader("RAG-Generated Overall Summary")
             summary = rag_summarize(collected, summarizer)