Update src/streamlit_app.py

src/streamlit_app.py

@@ -14,7 +14,7 @@ st.title("Volume Estimation using SAM Segmentation + MiDaS Depth")
 # Load SAM and MiDaS models
 @st.cache_resource
 def load_models():
-    sam_checkpoint = "C:/Users/Administrator/Desktop/streamlit_tl/models/sam_vit_h_4b8939.pth"
+    sam_checkpoint = "sam_vit_b_01ec64.pth"
     sam = sam_model_registry["vit_h"](checkpoint=sam_checkpoint).to("cuda" if torch.cuda.is_available() else "cpu")
     predictor = SamPredictor(sam)