Integrate Streamlit Analytics for enhanced user tracking and analytics

- Added `streamlit-analytics` dependency to track user interactions within the app.
- Implemented tracking start and stop functions in `main.py` to monitor user activity during session.
- Updated `pyproject.toml` and `uv.lock` to include the new analytics package and its specifications.

Author: Adriano Sanges

main.py

@@ -6,7 +6,7 @@
 import folium
 import streamlit_folium as st_folium
 import os
-
+import streamlit_analytics
 # Set page configuration as the first Streamlit command
 st.set_page_config(layout="wide", page_title="Interactive Real Estate Map", page_icon="🌍")
 
@@ -56,6 +56,8 @@ def main():
         conn = duckdb.connect(database="dati-immobiliari.duckdb")
         init_db(conn)
 
+        streamlit_analytics.start_tracking()
+
         tableTab, mapTab  = st.tabs(["Table", "Map"])
 
         with tableTab:
@@ -103,6 +105,8 @@ def main():
         with mapTab:
             pass
 
+        streamlit_analytics.stop_tracking()
+
     except Exception as e:
         st.error(f"An error occurred: {e}")
         return 1

pyproject.toml

@@ -9,4 +9,5 @@ dependencies = [
     "streamlit-folium>=0.23.2",
     "streamlit>=1.40.2",
     "geopandas>=1.0.1",
+    "streamlit-analytics>=0.4.1",
 ]