Update core/app.py

core/app.py

@@ -33,6 +33,8 @@ def _map_env(src: str, dst: str):
 _map_env("HFHOME", "HF_HOME")
 _map_env("TRANSFORMERSCACHE", "TRANSFORMERS_CACHE")
 _map_env("TORCHHOME", "TORCH_HOME")
+# Optional: GPU visibility alias
+_map_env("CUDAVISIBLEDEVICES", "CUDA_VISIBLE_DEVICES")
 
 # Critical defaults (safe even if already set elsewhere)
 os.environ.setdefault("TOKENIZERS_PARALLELISM", "false")
@@ -40,6 +42,25 @@ def _map_env(src: str, dst: str):
 os.environ.setdefault("APP_ENV", "production")
 os.environ.setdefault("PYTORCH_CUDA_ALLOC_CONF", "max_split_size_mb:128")
 
+# Ensure reasonable cache defaults if not set
+from pathlib import Path
+_base_cache = Path.home() / ".cache"
+os.environ.setdefault("HF_HOME", str(_base_cache / "huggingface"))
+os.environ.setdefault("TRANSFORMERS_CACHE", str(_base_cache / "huggingface" / "hub"))
+os.environ.setdefault("TORCH_HOME", str(_base_cache / "torch"))
+
+# Synthesize CLOUDINARY_URL from parts if missing
+def _ensure_cloudinary_url():
+    if os.getenv("CLOUDINARY_URL"):
+        return
+    key = os.getenv("CLOUDINARY_API_KEY")
+    sec = os.getenv("CLOUDINARY_API_SECRET")
+    name = os.getenv("CLOUDINARY_CLOUD_NAME")
+    if key and sec and name:
+        os.environ["CLOUDINARY_URL"] = f"cloudinary://{key}:{sec}@{name}"
+
+_ensure_cloudinary_url()
+
 # If you use early_env in your project, keep this import (harmless if absent)
 try:
     import early_env  # sets OMP/MKL/OPENBLAS + torch threads safely
@@ -51,7 +72,6 @@ def _map_env(src: str, dst: str):
 import traceback
 import sys
 import time
-from pathlib import Path
 from typing import Optional, Tuple, Dict, Any, Callable
 
 # Mitigate CUDA fragmentation (must be set before importing torch)
@@ -177,7 +197,7 @@ def __init__(self):
         self.two_stage_processor: Optional[Any] = None
         self.models_loaded = False
         self.loading_lock = threading.Lock()
-               self.cancel_event = threading.Event()
+        self.cancel_event = threading.Event()
         self.progress_tracker: Optional[ProgressTracker] = None
         logger.info(f"VideoProcessor on device: {self.device_manager.get_optimal_device()}")