Update src/streamlit_app.py

src/streamlit_app.py

@@ -249,6 +249,10 @@ line_chart
 
 st.markdown(""" This plot is a line chart visualizing the annual number of incidents for the top 5 most frequent crime types over a five-year period, from 2020 to 2024. Each line represents a distinct crime type, allowing for easy comparison of trends across different categories. The x-axis represents the year, the y-axis indicates the number of incidents, and a legend identifies the color corresponding to each specific crime type: Battery - Simple Assault, Burglary From Vehicle, Theft of Identity, Vandalism - Felony , and Vehicle - Stolen. The plot highlights the fluctuations and overall trajectories of these major crime categories across the years.""")
 
+# Load data
+with open("County_Boundary.geojson", "r", encoding="utf-8") as f:
+    geojson_data = json.load(f)
+
     
 # Identify top 10 crime types
 top_10_crimes = df['crm_cd_desc'].value_counts().nlargest(10).index.tolist()