Update app.py

app.py

@@ -33,8 +33,8 @@ from mono.utils.transform import gray_to_colormap
 from mono.utils.visualization import vis_surface_normal
 import gradio as gr
 
-torch.hub.download_url_to_file('https://images.unsplash.com/photo-1437622368342-7a3d73a34c8f', 'turtle.jpg')
-torch.hub.download_url_to_file('https://images.unsplash.com/photo-1519066629447-267fffa62d4b', 'lions.jpg')
+#torch.hub.download_url_to_file('https://images.unsplash.com/photo-1437622368342-7a3d73a34c8f', 'turtle.jpg')
+#torch.hub.download_url_to_file('https://images.unsplash.com/photo-1519066629447-267fffa62d4b', 'lions.jpg')
 
 cfg_large = Config.fromfile('./mono/configs/HourglassDecoder/vit.raft5.large.py')
 model_large = get_configured_monodepth_model(cfg_large, )
@@ -105,8 +105,13 @@ description = "Gradio demo for Metric3D v1/v2 which takes in a single image for
 article = "<p style='text-align: center'><a href='https://arxiv.org/pdf/2307.10984.pdf'>Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image</a> | <a href='https://github.com/YvanYin/Metric3D'>Github Repo</a></p>"
 
 examples = [
- ["turtle.jpg"],
- ["lions.jpg"]
+ #["turtle.jpg"],
+ #["lions.jpg"]
+ ["gundam.jpg"],
+ ["museum.jpg"],
+ ["terra.jpg"],
+ ["underwater.jpg"],
+ ["venue.jpg"]
 ]
 
 gr.Interface(