add categorical data

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 from flaml.automl.data import get_output_from_log
 import plotly.express as px
 
-from utils import csv_to_featuers_list, pre_process_df, pre_process_features
+from utils import csv_to_featuers_list
 from autoML import autoML
 
 

utils.py

@@ -1,19 +1,7 @@
 import pandas as pd
-from sklearn.preprocessing import MinMaxScaler
 
 def csv_to_featuers_list(csv_file):
     if csv_file == None:
         return ['No csv yet']
     df = pd.read_csv(csv_file)
-    return df.columns
-
-def pre_process_df(df):
-    df.dropna(inplace=True)
-    df.drop_duplicates(inplace=True)
-    df.reset_index(inplace=True, drop=True)
-    return df
-
-def pre_process_features(X):
-    scaler = MinMaxScaler()
-    X = scaler.fit_transform(X)
-    return X
+    return df.columns