Update src/streamlit_app.py

src/streamlit_app.py

@@ -42,13 +42,19 @@ ENSEMBLE_PATH = os.path.join(LOG_DIR, "ensemble_models.joblib")
 LOG_PATH = os.path.join(LOG_DIR, "run_master.log")
 
 # Simple logger that time-stamps inside one file
+SESSION_STARTED = False
+
 def log(msg: str):
+    global SESSION_STARTED
     stamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
     with open(LOG_PATH, "a", encoding="utf-8") as f:
-        f.write("\n\n===== New Session Started at {} =====\n".format(datetime.now().strftime("%Y-%m-%d %H:%M:%S")))
+        if not SESSION_STARTED:
+            f.write("\n\n===== New Session Started at {} =====\n".format(stamp))
+            SESSION_STARTED = True
         f.write(f"[{stamp}] {msg}\n")
     print(msg)
 
+
 log("=== Streamlit session started ===")
 
 
@@ -799,7 +805,7 @@ with tabs[4]:
                 
                 # Final evaluation
                 final_r2 = r2_score(y_val, y_meta_pred)
-                final_rmse = mean_squared_error(y_val, y_meta_pred, squared=False)
+                final_rmse = float(np.sqrt(mean_squared_error(y_val, y_meta_pred)))
                 st.success("AutoML + Stacking complete — metrics, artifacts, and SHAP ready.")
                 log(f"Completed stacking. Final R2={final_r2:.4f}, RMSE={final_rmse:.4f}")
 
@@ -947,7 +953,7 @@ st.markdown("**Notes:** This dataset is synthetic and for demo/prototyping. Real
 
 
 # -----  Download tab
-with tabs[-1]:
+with tabs[-2]:
     st.subheader(" Download Saved Files (Flat Log Mode)")
 
     available_files = [f for f in os.listdir(LOG_DIR) if os.path.isfile(os.path.join(LOG_DIR, f))]