Update app.py

app.py

@@ -11,6 +11,7 @@ from branca.colormap import LinearColormap
 import base64
 from io import BytesIO
 import sys
+import pydeck as pdk
 
 # Print the Python version
 print("Python version")
@@ -154,7 +155,7 @@ evo_html = """
     </style>
     <a href='https://huggingface.co/spaces/DavidSB/avalia.EVO' target='_blank' style='text-decoration: none; color: inherit;'>
     <span style='color: gray; font-size: 20px;'>aval</span>
-    <span style='color: white; font-size: 20px;'>ia</span>
+    <span style='color: #FFAC1C; font-size: 20px;'>ia</span>
     <span style='color: gray; font-size: 20px;'>.EVO</span>
 """
 
@@ -233,8 +234,8 @@ with st.sidebar:
             (data_tipo['Apriv'].between(apriv_min, apriv_max))]
     
 # Links to other apps at the bottom of the sidebar
-st.sidebar.markdown(factor_html, unsafe_allow_html=True)
-st.sidebar.markdown(evo_html, unsafe_allow_html=True)
+#st.sidebar.markdown(factor_html, unsafe_allow_html=True)
+#st.sidebar.markdown(evo_html, unsafe_allow_html=True)
 
 filtered_data = data_tipo[data_tipo.apply(lambda x: calculate_distance(x['latitude'], x['longitude'], custom_lat, custom_lon), axis=1) <= radius_in_meters]
 filtered_data = filtered_data.dropna()  # Drop rows with NaN values
@@ -261,7 +262,23 @@ filtered_data['Predicted_target'] = predicted_target
 
 
 with st.container():
-    st.map(filtered_data, zoom=zoom_level, use_container_width=True)
+    # Define a PyDeck view state for the initial map view
+    view_state = pdk.ViewState(latitude=filtered_data['latitude'].mean(), longitude=filtered_data['longitude'].mean(), zoom=zoom_level)
+
+    # Define a PyDeck layer for plotting
+    layer = pdk.Layer(
+        "ScatterplotLayer",
+        filtered_data,
+        get_position=["longitude", "latitude"],
+        get_color="[255, 172, 28, 100]",  # RGBA color for light orange, adjust opacity with the last number
+        get_radius=100,  # Adjust dot size as needed)
+
+    # Create a PyDeck map using the defined layer and view state
+    deck_map = pdk.Deck(layers=[layer], initial_view_state=view_state, map_style="mapbox://styles/mapbox/light-v9")
+
+    # Display the map in Streamlit
+    st.pydeck_chart(deck_map)
+    #st.map(filtered_data, zoom=zoom_level, use_container_width=True)
     st.write("Dados:", filtered_data)  # Debug: Print filtered_data
 
     if st.button('Baixar planilha'):