Update app.py

app.py

@@ -28,18 +28,6 @@ DEFAULT_MODEL = MODELS_DIR / "ym_rf.joblib"
 MODEL_FALLBACKS = [MODELS_DIR / "model.joblib", MODELS_DIR / "model.pkl"]
 COLORS = {"pred": "#1f77b4", "actual": "#f2b702", "ref": "#5a5a5a"}
 
-# After: meta = json.loads(meta_path.read_text(...))
-import numpy as _np, sklearn as _skl, sys as _sys
-mv = meta.get("versions", {})
-if mv:
-    msg = []
-    if mv.get("numpy") and mv["numpy"] != _np.__version__:
-        msg.append(f"NumPy {mv['numpy']} expected, running {_np.__version__}")
-    if mv.get("scikit_learn") and mv["scikit_learn"] != _skl.__version__:
-        msg.append(f"scikit-learn {mv['scikit_learn']} expected, running {_skl.__version__}")
-    if msg:
-        st.warning("Environment mismatch: " + " | ".join(msg))
-
 # ---- Plot sizing controls ----
 CROSS_W = 350
 CROSS_H = 350
@@ -534,15 +522,33 @@ except Exception as e:
     st.error(f"Failed to load model: {e}")
     st.stop()
 
-# Optional: meta.json overrides defaults
-meta_path = MODELS_DIR / "meta.json"
-if meta_path.exists():
+# ---------- Load meta (optional) ----------
+meta = {}  # define first, so it's always safe to reference later
+
+# Support either models/meta.json or models/ym_meta.json
+meta_candidates = [MODELS_DIR / "meta.json", MODELS_DIR / "ym_meta.json"]
+meta_path = next((p for p in meta_candidates if p.exists()), None)
+
+if meta_path:
     try:
         meta = json.loads(meta_path.read_text(encoding="utf-8"))
         FEATURES = meta.get("features", FEATURES)
         TARGET = meta.get("target", TARGET)
-    except Exception:
-        pass
+    except Exception as e:
+        st.warning(f"Could not parse meta file ({meta_path.name}): {e}")
+
+# ---------- Optional: warn if runtime != training versions ----------
+import numpy as _np, sklearn as _skl
+mv = meta.get("versions", {})
+if mv:
+    msg = []
+    if mv.get("numpy") and mv["numpy"] != _np.__version__:
+        msg.append(f"NumPy {mv['numpy']} expected, running {_np.__version__}")
+    if mv.get("scikit_learn") and mv["scikit_learn"] != _skl.__version__:
+        msg.append(f"scikit-learn {mv['scikit_learn']} expected, running {_skl.__version__}")
+    if msg:
+        st.warning("Environment mismatch: " + " | ".join(msg))
+
 
 # =========================
 # Session state