Update app.py

app.py

@@ -15,7 +15,7 @@ def load_model(model, model_path, device):
     return model
 
 # Load the model onto the specified device
-u2net = load_model(model=u2net, model_path="/content/u2net.pth", device="cpu")
+u2net = load_model(model=u2net, model_path="u2net.pth", device="cpu")
 
 # Mean and std for normalization
 mean = torch.tensor([0.485, 0.456, 0.406])
@@ -103,8 +103,7 @@ iface = gr.Interface(
     fn=segment_image,
     inputs=gr.Image(type="numpy"),
     outputs=gr.Image(type="pil",format="png"),
-    title="Image Segmentation with U2NET",
-    description="Upload an image to segment it using the U2NET model. The background of the segmented output will be transparent."
+    title="Remove Background From Image"
 )
 
 # Launch the interface