skip cuda if not available

app.py

@@ -4,9 +4,13 @@ import os, sys, importlib.util, re
 import gradio as gr
 from PIL import Image
 import torch
-print(f"CUDA available: {torch.cuda.is_available()}")
-print(f"CUDA version: {torch.version.cuda}")
-print(f"GPU device: {torch.cuda.get_device_name(0)}")
+
+try:
+    print(f"CUDA available: {torch.cuda.is_available()}")
+    print(f"CUDA version: {torch.version.cuda}")
+    print(f"GPU device: {torch.cuda.get_device_name(0)}")
+except:
+    print('CUDA is not available !')
 
 # ——— Monkey-patch mmdet to remove its mmcv-version assertion ———
 spec = importlib.util.find_spec('mmdet')

requirements.txt

@@ -7,4 +7,5 @@ opencv-python
 mmengine
 mmdet
 mmpose
-gradio
+gradio
+requests