Update app.py

app.py

@@ -24,7 +24,7 @@ st.title("📦 Volume Estimation using SAM Segmentation + MiDaS Depth")
 # Load SAM and MiDaS models
 @st.cache_resource
 def load_models():
-    sam_checkpoint = "sam_vit_b_01ec64.pth"  # Make sure this file is present in the same folder
+    sam_checkpoint = "https://drive.google.com/file/d/1pgv2kKrytyY2_uHSypJh5yQz2BRlfjSS/view?usp=drive_link/sam_vit_b_01ec64.pth"  # Make sure this file is present in the same folder
     sam = sam_model_registry["vit_b"](checkpoint=sam_checkpoint).to("cuda" if torch.cuda.is_available() else "cpu")
     predictor = SamPredictor(sam)