Add workaround: patch check_array to handle force_all_finite compatibility issue

predict.py

@@ -58,6 +58,25 @@ def _load():
             break
     if clf_path is None:
         raise FileNotFoundError(f"No classifier found in {MODELS_DIR}; looked for: {clf_candidates}")
+    
+    # Workaround for sklearn 1.8.0 + numpy 2.0 compatibility issue
+    # Patch check_array to handle force_all_finite parameter
+    try:
+        from sklearn.utils.validation import check_array
+        import inspect
+        # Check if check_array supports force_all_finite
+        sig = inspect.signature(check_array)
+        if 'force_all_finite' not in sig.parameters:
+            # Patch it to accept but ignore the parameter
+            original_check_array = check_array
+            def patched_check_array(*args, **kwargs):
+                kwargs.pop('force_all_finite', None)
+                return original_check_array(*args, **kwargs)
+            import sklearn.utils.validation
+            sklearn.utils.validation.check_array = patched_check_array
+    except Exception as e:
+        print(f"Warning: Could not patch check_array: {e}")
+    
     _m['clf'] = load(clf_path)
 
     scaler_path = os.path.join(MODELS_DIR, "signal_scaler.joblib")