Create information_loss.py

my_pages/information_loss.py

@@ -0,0 +1,65 @@
+import streamlit as st
+from utils import go_to
+import random
+
+# Sample list of possible features
+ALL_FEATURES = [
+    "Credit Score", "Annual Income", "Loan Amount Requested",
+    "Number of Previous Loans", "Debt-to-Income Ratio",
+    "Employment Stability", "Length of Credit History",
+    "Collateral Value", "Marital Status", "Number of Dependents"
+]
+
+def render():
+    st.title("Information Loss Demo")
+
+    # Session state setup
+    if "available_features" not in st.session_state:
+        st.session_state.available_features = ALL_FEATURES.copy()
+    if "selected_features" not in st.session_state:
+        st.session_state.selected_features = []
+
+    # --- TOP HALF ---
+    col1, col2 = st.columns([1, 1])
+
+    # Top left: loan applicant icon/image
+    with col1:
+        st.image(
+            "https://cdn-icons-png.flaticon.com/512/1048/1048949.png", 
+            caption="Loan Applicant", 
+            width=200
+        )
+
+    # Top right: clickable "feature cloud"
+    with col2:
+        st.markdown("### Available Features (click to add approximation)")
+        random.shuffle(st.session_state.available_features)  # scatter order each run
+
+        for feature in st.session_state.available_features:
+            if st.button(feature, key=feature):
+                # Show popup / message
+                with st.spinner(f"Adding approximation for '{feature}'..."):
+                    st.session_state.selected_features.append(feature + " (approx)")
+                    st.session_state.available_features.remove(feature)
+                    st.session_state.show_message = f"Sorry, '{feature}' cannot be precisely collected. Adding approximation instead."
+
+    # Show popup message in center if exists
+    if "show_message" in st.session_state:
+        st.markdown(
+            f"<div style='text-align:center; color:red; font-weight:bold;'>{st.session_state.show_message}</div>",
+            unsafe_allow_html=True
+        )
+        del st.session_state.show_message  # remove after showing
+
+    st.markdown("---")
+
+    # --- BOTTOM HALF: Dataset table ---
+    st.markdown("### Current Dataset")
+    if st.session_state.selected_features:
+        # Create table with placeholder values
+        import pandas as pd
+        cols = st.session_state.selected_features + ["Target Label"]
+        df = pd.DataFrame(columns=cols)
+        st.dataframe(df, use_container_width=True)
+    else:
+        st.info("No features added yet. Click a feature above to add it to the dataset.")