change directory absolute at unet model directory

app.py

@@ -352,7 +352,7 @@ IMG_SIZE = 128  # Resize dimension for the input image
 @st.cache_resource
 def load_model():
     model = UNet(n_channels=3, n_classes=32)  # Adjust according to your model setup
-    model.load_state_dict(torch.load("/Users/phongporter/Documents/GITHUB/cos40007-team/streamlit_unet/model/unet/checkpoint_epoch5.pth", map_location="cpu", weights_only=True), strict=False)
+    model.load_state_dict(torch.load("./model/unet/checkpoint_epoch5.pth", map_location="cpu", weights_only=True), strict=False)
     model.eval()
     return model