Update src/streamlit_app.py

src/streamlit_app.py

@@ -377,6 +377,6 @@ barchart = alt.Chart(heatmap1_df).mark_bar().encode(
 barchart
 
 
-# st.markdown(""" This interactive bar chart allows users to explore the most frequently reported crime types in Los Angeles by year. By adjusting the slider below the chart, the visualization updates in real time to show the top ten crime categories for the selected year. Each bar represents the total number of incidents, with color coding used to distinguish different crime types and a legend on the right for reference.
-# This visualization makes it easy to compare how the composition of major crime types evolves over time and to detect emerging issues that may require further investigation or policy response.
-# """)
+st.markdown(""" This interactive bar chart allows users to explore the most frequently reported crime types in Los Angeles by year. By adjusting the slider below the chart, the visualization updates in real time to show the top ten crime categories for the selected year. Each bar represents the total number of incidents, with color coding used to distinguish different crime types and a legend on the right for reference.
+This visualization makes it easy to compare how the composition of major crime types evolves over time and to detect emerging issues that may require further investigation or policy response.
+""")