Update app.py

app.py

@@ -473,26 +473,9 @@ elif activities=="News Sentiment":
     results = vector_db.similarity_search("Bullish", k=5)
 
     for i, doc in enumerate(results):
-        st.markdown(f"### 🔍 Match {i+1}")
+        st.markdown(f"🔍 Match {i+1}")
         st.code(doc.page_content)
         st.json(doc.metadata)
-    
-    # log_df = pd.DataFrame(db.log_data)
-    # if log_df.empty:
-    #     st.write("No log")
-    # else:
-    #     log_df["date"] = pd.to_datetime(log_df["date"])
-        
-    #     with st.sidebar.expander("🕒 History Filters"):
-    #         selected_date = st.date_input("Pick a date", value=datetime.now().date())
-    #         filtered = log_df[log_df["date"] == pd.to_datetime(selected_date)]
-        
-    #         st.write(f"Found {len(filtered)} entries on {selected_date}")
-    #         for _, row in filtered.iterrows():
-    #             st.markdown(f"**{row['company']} ({row['ticker']})** — {row['sentiment']} → {row['action']}")
-    #             st.caption(f"Reason: {row['reason']}")
-
-
         
 
     if st.button("Get Live Updates..."):