Update app.py

app.py

@@ -9,17 +9,10 @@ import numpy as np
 import requests
 from PIL import Image
 
-try:
-
-    import super_gradients
-except ImportError:
-    os.system("pip install -e .")
-
-    import super_gradients
-from super_gradients.common.object_names import Models
-from super_gradients.training import models
-from super_gradients.training.utils.visualization.detection import draw_bbox
-
+# Load the YOLO model
+model_path = "./best-model.torchscript"
+model = torch.jit.load(model_path, map_location=torch.device("cpu"))
+model.eval()
 
 # Initialize your pose estimation model
 yolo_nas_pose = models.get("best.pt",