potential fix for torch import error

run_prothgt_app.py

@@ -1,9 +1,58 @@
+import os
+import site
+import glob
+import subprocess
+
+def _maybe_fix_torch_execstack() -> None:
+    """
+    Fix for environments that refuse to load shared objects requiring an executable stack
+    (e.g., newer glibc hardening). Some PyTorch wheels ship libtorch_cpu.so with the
+    execstack flag set, causing:
+      ImportError: libtorch_cpu.so: cannot enable executable stack ...
+
+    We clear the flag *before* importing torch.
+    """
+    if os.environ.get("PROTHGT_TORCH_EXECSTACK_FIXED") == "1":
+        return
+
+    # patchelf is installed via packages.txt in this repo.
+    patchelf = "patchelf"
+
+    paths = []
+    for fn in (getattr(site, "getsitepackages", None), getattr(site, "getusersitepackages", None)):
+        if fn is None:
+            continue
+        try:
+            p = fn()
+            if isinstance(p, str):
+                paths.append(p)
+            else:
+                paths.extend(list(p))
+        except Exception:
+            pass
+
+    targets = []
+    for p in paths:
+        targets += glob.glob(os.path.join(p, "torch", "lib", "libtorch_cpu.so"))
+        targets += glob.glob(os.path.join(p, "torch", "lib", "libtorch_python.so"))
+
+    for so in sorted(set(targets)):
+        try:
+            if os.path.exists(so):
+                subprocess.run([patchelf, "--clear-execstack", so], check=False, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+        except Exception:
+            # Best-effort; if it fails we'll still try importing torch and surface the real error.
+            pass
+
+    os.environ["PROTHGT_TORCH_EXECSTACK_FIXED"] = "1"
+
+_maybe_fix_torch_execstack()
+
 import torch
 from torch.nn import Linear
 from torch_geometric.nn import HGTConv, MLP
 import pandas as pd
 import yaml
-import os
 from datasets import load_dataset
 import gdown
 import copy