f

app.py

@@ -14,9 +14,9 @@ app = FastAPI()
 # Device configuration
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-# Create model storage directory
-MODEL_DIR = "./models"
-os.makedirs(MODEL_DIR, exist_ok=True)
+# ✅ Use /tmp/models instead of ./models
+MODEL_DIR = "/tmp/models"
+os.makedirs(MODEL_DIR, exist_ok=True)  # ✅ Fix PermissionError
 
 # Model URL from Hugging Face
 MODEL_URL = "https://huggingface.co/Maddy21/deepfake-detection-api/resolve/main/best_vit_model.pth"
@@ -80,7 +80,7 @@ def read_root():
 # API Endpoint to receive and process video
 @app.post("/predict/")
 async def predict(file: UploadFile = File(...)):
-    file_path = f"temp_{file.filename}"
+    file_path = f"/tmp/{file.filename}"  # ✅ Use /tmp/ instead of current directory
     
     # Save uploaded video
     with open(file_path, "wb") as buffer: