Update app.py

app.py

@@ -4,9 +4,7 @@ from sam2.sam2_image_predictor import SAM2ImagePredictor
 
 predictor = SAM2ImagePredictor.from_pretrained("facebook/sam2-hiera-large")
 
-with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
-    predictor.set_image(<your_image>)
-    masks, _, _ = predictor.predict(<input_prompts>)
+
 import gradio as gr
 import torch
 import numpy as np