add example

app.py

@@ -86,16 +86,22 @@ def predict_depth(input_image):
         if temp_file and os.path.exists(temp_file):
             os.remove(temp_file)
 
+# Example images
+example_images = [
+    "examples/lemur.jpg",
+]
+
 # Create Gradio interface
 iface = gr.Interface(
     fn=predict_depth,
     inputs=gr.Image(type="filepath"),
     outputs=[
-        gr.Image(type="filepath", label="Inverse Depth Map", height=768, width=768),  # Set a reasonable display size
+        gr.Image(type="filepath", label="Inverse Depth Map", height=768, width=768),
         gr.Textbox(label="Focal Length or Error Message")
     ],
     title="DepthPro Demo",
-    description="[DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload an image to predict its inverse depth map and focal length. Large images will be automatically resized to 1536x1536 pixels."
+    description="[DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload an image to predict its inverse depth map and focal length. Large images will be automatically resized to 1536x1536 pixels.",
+    examples=example_images
 )
 
 # Launch the interface