Update app.py

app.py

@@ -146,17 +146,34 @@ def apply_custom_css():
             font-weight: 600;
             text-align: center;
         }
-          /* Try to force change      
-        div[class^="st-emotion-cache"] {
-            background-color: #111827 !important;
-        }*/ 
-                
+
+
+   /*
         div[data-testid="stBottomBlockContainer"] {
             background-color: #111827 !important;
-        }        
+        }
 
+        div[data-testid="stChatInput"]{
+            background-color: #111827 !important;
+        } */
+
+         /* Override the bottom chat input container */
+        div.stChatFloatingInputContainer {
+            background-color: #111827 !important;
+        }
+
+        /* Override the inner chat input box */
+        div.stChatInputContainer {
+            background-color: #111827 !important;
 
+        }
 
+        /* Optional: Override text area background */
+        textarea {
+            background-color: #111827 !important;
+            color: white !important;
+        }
+        
         .sidebar-section {
             background: rgba(31, 41, 55, 0.4);
             border-radius: 8px;
@@ -1171,22 +1188,22 @@ def display_distribution_tab():
     with col2:
         if chart_type != "Distribution Plot":
             column_type = "Numerical" if chart_type in ["Histogram", "Box Plot", "Violin Plot"] else "Categorical"
-            columns_to_show = df.select_dtypes(include=['number']).columns.tolist() if column_type == "Numerical" else df.select_dtypes(include=['object', 'category']).columns.tolist()
+            columns_to_show = list(df.select_dtypes(include=['number']).columns) if column_type == "Numerical" else list(df.select_dtypes(include=['object', 'category']).columns)
             
             selected_columns = st.multiselect(
                 f"Select {column_type} Columns to Visualize",
                 options=columns_to_show,
-                default=columns_to_show[:min(3, len(columns_to_show))],
+                default=list(columns_to_show[:min(3, len(columns_to_show))]),  # Convert to list ✅
                 key="column_select"
             )
         else:
-            num_cols = df.select_dtypes(include=['number']).columns.tolist()
+            num_cols = list(df.select_dtypes(include=['number']).columns)  # Convert to list ✅
             selected_columns = st.multiselect(
                 "Select Numerical Columns",
                 options=num_cols,
-                default=num_cols[:min(3, len(num_cols))],
+                default=list(num_cols[:min(3, len(num_cols))]),  # Convert to list ✅
                 key="column_select"
-            )
+        )
     st.markdown('</div>', unsafe_allow_html=True)
     
     # Display selected charts
@@ -1564,13 +1581,17 @@ def display_relationships_tab():
     # Scatter plot matrix
     st.subheader("Scatter Plot Matrix")
     
-    # Let user choose columns
+    # Convert num_cols to a list before using it in multiselect
+    num_cols = list(df.select_dtypes(include=['number']).columns)  
+    
+    # Ensure default selection is also a list
     selected_cols = st.multiselect(
         "Select columns for scatter plot matrix (max 5 recommended)",
         options=num_cols,
-        default=num_cols[:min(4, len(num_cols))]
+        default=list(num_cols[:min(4, len(num_cols))])  # Convert to list ✅
     )
-    
+
+
     if selected_cols:
         if len(selected_cols) > 5:
             st.warning("More than 5 columns may make the plot hard to read.")