Update app.py

app.py

@@ -386,7 +386,7 @@ elif app_mode == "Smart Cleaning":
         outlier_cols = st.multiselect("Columns to Remove Outliers From", all_outlier_cols, default=["All Numerical"], help="Select the columns to remove outliers from. Choose 'All Numerical' to apply to all numerical columns.")
         if "All Numerical" in outlier_cols:
             outlier_cols = df.select_dtypes(include=np.number).columns.tolist()
-        outlier_method = st.selectbox("outlier_method = st.selectbox("Outlier Removal Method", ["IQR", "Z-score"], help="Choose the outlier removal method.")
+        outlier_method = st.selectbox("Outlier Removal Method", ["IQR", "Z-score"], help="Choose the outlier removal method.")
         if outlier_method == "IQR":
             iqr_threshold = st.slider("IQR Threshold", 1.0, 3.0, 1.5, help="Adjust the IQR threshold.")
         else: