Create requirements.txt

requirements.txt

@@ -1,9 +1,3 @@
-# Use SAM2 with images
-import torch
-from sam2.sam2_image_predictor import SAM2ImagePredictor
-
-predictor = SAM2ImagePredictor.from_pretrained(facebook/sam2.1-hiera-large)
-
-with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
-    predictor.set_image(<your_image>)
-    masks, _, _ = predictor.predict(<input_prompts>)
+torch==2.0.1  # PyTorch for model execution
+gradio==3.24.1  # Gradio for web interface
+sam2==0.1.0  # Assuming 'sam2' is the package for SAM2 model