example like othe demo

app.py

@@ -7,9 +7,7 @@ from PIL import Image
 from torchvision import transforms
 import matplotlib.pyplot as plt
 import numpy as np
-
-
-
+import os
 
 # load model
 DEVICE='cpu'
@@ -57,7 +55,7 @@ iface = gr.Interface(
         # gr.outputs.Textbox(label='Raw output')
     ],
     examples=[
-        ["demo_imgs/fake.jpg"] # use real image
+        [f"demo_imgs/{name}"] for name in os.listdir('demo_imgs')
     ],
     title="DTM Estimation",
     description="This demo predict a DTM using GLP Depth model. It will scale input image to 512x512 and at the end it will apply a colormap to better visualize the output."