Complete fix for all permission and HTML entity errors

app.py

@@ -1,7 +1,7 @@
 import os
 import tempfile
 
-# FIX: Use system temp directory for DeepFace cache (guaranteed writable)
+# FIX: Use system temp directory for DeepFace and models (guaranteed writable)
 deepface_cache = os.path.join(tempfile.gettempdir(), "deepface_cache")
 os.makedirs(deepface_cache, exist_ok=True)
 os.environ["DEEPFACE_HOME"] = deepface_cache
@@ -23,7 +23,6 @@ from deepface import DeepFace
 from sklearn.metrics.pairwise import cosine_similarity
 import tensorflow as tf
 
-
 # Optimize TensorFlow for HuggingFace Spaces
 tf.config.threading.set_intra_op_parallelism_threads(1)
 tf.config.threading.set_inter_op_parallelism_threads(1)
@@ -111,20 +110,24 @@ def download_file_from_google_drive(file_id, destination):
         return False
 
 def setup_models():
-    """Download and setup all required models"""
-    os.makedirs('models', exist_ok=True)
-    os.makedirs('models/anti-spoofing', exist_ok=True)
+    """Download and setup all required models - FIXED VERSION"""
+    # FIX: Use temp directory for models (guaranteed writable)
+    models_dir = os.path.join(tempfile.gettempdir(), 'models')
+    antispoof_dir = os.path.join(models_dir, 'anti-spoofing')
+    
+    os.makedirs(models_dir, exist_ok=True)
+    os.makedirs(antispoof_dir, exist_ok=True)
     
     # Model configurations with your Google Drive IDs
     models_config = {
         'yolov5s-face.onnx': {
             'drive_id': '1sybYq9GGriXN6sY8YV1-RXMeVqYzhDrV',
-            'path': 'models/yolov5s-face.onnx',
+            'path': os.path.join(models_dir, 'yolov5s-face.onnx'),
             'required': True
         },
         'AntiSpoofing_bin_1.5_128.onnx': {
             'drive_id': '1nH5G7dAHFE2KlW_H65txc8GDKSB7Zpy4',
-            'path': 'models/anti-spoofing/AntiSpoofing_bin_1.5_128.onnx',
+            'path': os.path.join(antispoof_dir, 'AntiSpoofing_bin_1.5_128.onnx'),
             'required': True
         }
     }
@@ -150,11 +153,11 @@ def setup_models():
     print(f"Anti-Spoof Model: {'✅ Available' if antispoof_downloaded else '❌ Failed'}")
     print("="*50 + "\n")
     
-    return yolo_downloaded, antispoof_downloaded
+    return yolo_downloaded, antispoof_downloaded, models_config
 
 # Initialize models on startup
 print("Setting up models...")
-yolo_available, antispoof_available = setup_models()
+yolo_available, antispoof_available, model_paths = setup_models()
 
 # ---------------- YOLO Face Detection (FIXED) ----------------
 
@@ -372,9 +375,9 @@ def decode_image(base64_image):
     image = cv2.imdecode(np_array, cv2.IMREAD_COLOR)
     return image
 
-# Model paths
-YOLO_FACE_MODEL_PATH = "models/yolov5s-face.onnx"
-ANTI_SPOOF_BIN_MODEL_PATH = "models/anti-spoofing/AntiSpoofing_bin_1.5_128.onnx"
+# Model paths (using temp directory)
+YOLO_FACE_MODEL_PATH = model_paths['yolov5s-face.onnx']['path']
+ANTI_SPOOF_BIN_MODEL_PATH = model_paths['AntiSpoofing_bin_1.5_128.onnx']['path']
 
 # Initialize models with timeout protection
 yolo_face = None