Update app.py

app.py

@@ -1,9 +1,41 @@
 #!/usr/bin/env python3
-import sys
+# app.py — process entrypoint
+
+# --- MUST come before any other imports (especially numpy/torch/opencv) ---
 import os
+import sys
+
+# Sanitize OpenMP/BLAS thread envs *before* heavy libs initialize
+omp = os.environ.get("OMP_NUM_THREADS", "")
+if not omp.strip().isdigit():
+    # Spaces sometimes sets OMP_NUM_THREADS to an invalid string → crash in libgomp
+    os.environ["OMP_NUM_THREADS"] = "2"   # safe default
+# Reasonable defaults; adjust if you profile differently
+os.environ.setdefault("MKL_NUM_THREADS", "2")
+os.environ.setdefault("OPENBLAS_NUM_THREADS", "2")
+os.environ.setdefault("NUMEXPR_NUM_THREADS", "2")
+
+# (Optional) If you’ve seen duplicate OpenMP issues on certain bases, uncomment:
+# os.environ.setdefault("KMP_DUPLICATE_LIB_OK", "TRUE")
+
+# If you want to prepend repo root to sys.path (your original behavior)
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 
+# Optionally set PyTorch intra-op threads early (must be before parallel work starts).
+# We do it right after importing torch but still prior to importing the rest of the app.
+try:
+    import torch
+    # Only set if not already configured by the environment
+    if os.environ.get("TORCH_NUM_THREADS") is None:
+        torch.set_num_threads(2)
+    if os.environ.get("TORCH_NUM_INTEROP_THREADS") is None:
+        torch.set_num_interop_threads(2)
+except Exception:
+    # If torch isn't installed here or fails to import, ignore and continue.
+    pass
+
+# Now it’s safe to import the rest of the application.
 from core.app import main
 
 if __name__ == "__main__":
-    main()
+    main()