fix bug

pages/ICE_and_PDP.py

@@ -53,9 +53,9 @@ def main():
     
 
     selected_feature = st.sidebar.selectbox("Select a feature for PDP/ICE analysis:", ("Age", "Workclass", "Education-Num", "Marital Status", "Occupation",
-                     "Relationship", "Race", "Sex", "Capital Gain", "Capital Loss", "Hours per week", "Country"))
-    st.write(f"selected feature is {selected_feature}")
-    kind = st.sidebar.selectbox("Select plot type:", ("average", "both", "individual"))
+                     "Relationship", "Race", "Sex", "Capital Gain", "Capital Loss", "Hours per week", "Country"),)
+    print(f"selected feature is {selected_feature}")
+    kind = st.sidebar.selectbox("Select plot type:", ("average", "both", "individual"),)
     
     st.title("ICE (Individual Conditional Expectation) and PDP (Partial Dependence Plot)")
     st.write(prompt_params.ICE_INTRODUCTION)

src/prompt_config.py

@@ -1,6 +1,4 @@
 APP_INTRODUCTION = """
-# **Explanatory AI for Income Prediction - App Overview**
-
 This application provides an **Explainable AI (XAI)** framework to analyze a machine learning model trained on the **UCI Adult Income Dataset** ([link](https://archive.ics.uci.edu/dataset/2/adult)). The model predicts whether an individual earns more than **$50,000 per year** based on key demographic and employment-related features, including:
 
 - **Age**