Update app.py

app.py

@@ -111,4 +111,26 @@ if submit_button:
                 st.write(f"**Failure Probability:** {probability:.2%}")
                 
         except Exception as e:
-            st.error(f"Prediction Error: {e}")
+            st.error(f"Prediction Error: {e}")
+# --- DEBUGGING SECTION (Paste this at the end of the submit logic) ---
+        st.divider()
+        with st.expander("🕵️‍♂️ View Debugging Internals (Why did it predict this?)"):
+            st.write("### 1. Raw Input Check")
+            st.write("Verify these match what you entered.")
+            st.dataframe(input_data)
+            
+            st.write("### 2. Scaled Data Check")
+            st.write("⚠️ CRITICAL: If these values are huge (e.g., > 10 or < -10), your Scaler is broken.")
+            # Create a readable dataframe for scaled values
+            st.dataframe(pd.DataFrame(scaled_data, columns=EXPECTED_FEATURES))
+            
+            st.write("### 3. Model Prediction Confidence")
+            st.metric(label="Failure Probability", value=f"{probability:.4f}")
+            
+            st.write("### 4. System Info")
+            st.json({
+                "Model File": MODEL_FILENAME,
+                "Scaler File": SCALER_FILENAME,
+                "Input Shape": input_data.shape,
+                "sklearn_version": sklearn.__version__
+            })