Update app.py

app.py

@@ -88,24 +88,9 @@ filtered_data = data  # Initialize with the entire dataset
 # Calculate a zoom level based on the maximum distance
 zoom_level = 13
 
-font_url = "https://fonts.googleapis.com/css2?family=Quicksand:wght@300..700&display=swap"
-
-title_html = f"""
-<style>
-    @import url('{font_url}');
-    h1 {{
-        font-family: 'Quicksand', sans-serif;
-    }}
-</style>
-<span style='color: #566f71; font-size: 50px;'>aval</span>
-<span style='color: #edb600; font-size: 50px;'>ia</span>
-<span style='color: #566f71; font-size: 50px;'>.se</span>
-"""
-
 # Create a sidebar for controls
 with st.sidebar:
     st.image(image1, width=200)
-    #st.markdown(title_html, unsafe_allow_html=True)
 
     # Add a dropdown for filtering "Fonte"
     selected_fonte = st.selectbox('Finalidade', data['Fonte'].unique(), index=data['Fonte'].unique().tolist().index('Venda'))
@@ -176,9 +161,6 @@ with st.sidebar:
     data_tipo = data_tipo[(data_tipo['Atotal'].between(atotal_min, atotal_max)) &
             (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)
 
 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
@@ -292,7 +274,22 @@ with tab3:
     else:
         st.warning(f"**Dados insuficientes para inferência do valor. Mínimo necessário:** {k_threshold}")
 
+    # CSS para alterar as cores
+    custom_css = """
+    <style>
+        .variable-title {
+            color: #FFD700; /* Amarelo Ouro */
+        }
+        .tab-title {
+            color: #FFD700; /* Amarelo Ouro */
+        }
+        /* Adicione mais seletores conforme necessário */
+    </style>
+    """
     
+    # Injeta o CSS na página
+    st.markdown(custom_css, unsafe_allow_html=True)
+
     # Generate the profile report
     with st.spinner('Carregando análise...'):
         profile = ProfileReport(filtered_data, title="Análise Exploratória dos Dados", explorative=True)