Update app.py: OMP=1, CUDA providers, prefer HF inswapper download

app.py

@@ -6,6 +6,12 @@ from typing import Optional
 import traceback
 import os as _os
 
+# Ensure sane OMP threads on startup (prevents libgomp warning in Spaces)
+try:
+	_os.environ["OMP_NUM_THREADS"] = "1"
+except Exception:
+	pass
+
 # Local pipeline imports
 import DeepFakeAI.globals as DF_G
 from DeepFakeAI import utilities as DF_U
@@ -60,8 +66,8 @@ def _run_local_faceswap(source_image_path: str, target_video_path: str) -> Optio
     DF_G.reference_frame_number = 0
     DF_G.execution_thread_count = 2
     DF_G.execution_queue_count = 2
-    # Force CPU for stability first
-    DF_G.execution_providers = DF_U.decode_execution_providers(['cpu'])
+    # Prefer CUDA (T4 GPU in HF Spaces); will fall back internally if unavailable
+    DF_G.execution_providers = DF_U.decode_execution_providers(['cuda'])
     # Fix invalid OMP thread settings in container
     try:
         _os.environ["OMP_NUM_THREADS"] = "1"
@@ -74,10 +80,11 @@ def _run_local_faceswap(source_image_path: str, target_video_path: str) -> Optio
     model_path = os.path.join(model_dir, 'inswapper_128.onnx')
     if not os.path.exists(model_path):
         token = os.environ.get('TOKEN') or os.environ.get('HF_TOKEN')
+        # Prefer HF mirrors (avoid GitHub 404 in Spaces). Try most reliable first.
         for repo_id in [
-            'banodoco/inswapper_128.onnx',
-            'linyi/inswapper_128.onnx',
             'zihaomu/inswapper_128.onnx',
+            'linyi/inswapper_128.onnx',
+            'banodoco/inswapper_128.onnx',
         ]:
             try:
                 model_path = hf_hub_download(repo_id=repo_id, filename='inswapper_128.onnx', token=token)