Update cancer.py

cancer.py

@@ -31,7 +31,7 @@ def preprocess_data(df):
         ]), categorical_features)
     ], remainder='passthrough')
 
-    X = df.drop('Cancer_Present', axis=1)
+    x= df.drop('Cancer_Present', axis=1)
     y = df['Cancer_Present']
     return train_test_split(x, y, test_size=0.2, random_state=23), preprocess
 
@@ -104,7 +104,7 @@ input_data = [[age, tumor_size, tumor_grade, symptoms_severity, smoking_history,
 if st.button("Predict Cancer Presence"):
     if 'trained_model' in st.session_state:
         model = st.session_state['trained_model']
-        x_train = st.session_state['X_train']
+        x_train = st.session_state['x_train']
         
         # Prepare input data for prediction
         input_df = pd.DataFrame(input_data, columns=x_train.columns)