Update app.py

app.py

@@ -9,10 +9,10 @@ import os
 import spaces
 import json
 
-from gradio_depth_pred import create_demo as create_depth_pred_demo
-from gradio_im_to_3d import create_demo as create_im_to_3d_demo
+#from gradio_depth_pred import create_demo as create_depth_pred_demo
+#from gradio_im_to_3d import create_demo as create_im_to_3d_demo
 
-model = torch.hub.load('isl-org/ZoeDepth', "ZoeD_N", pretrained=True).to('cuda').eval()
+#model = torch.hub.load('isl-org/ZoeDepth', "ZoeD_N", pretrained=True).to('cuda').eval()
 
 #dpt_beit = pipeline(task = "depth-estimation", model="Intel/dpt-beit-base-384", device=0)
 dpt_beit = pipeline(task = "depth-estimation", model="Intel/dpt-beit-large-512", device=0)
@@ -98,8 +98,8 @@ with gr.Blocks(css=css) as demo:
     gr.Markdown("bla bla description")
     with gr.Tab("Depth Prediction"):
         create_depth_pred_demo(model)
-    with gr.Tab("Image to 3D"):
-        create_im_to_3d_demo(model)
+    #with gr.Tab("Image to 3D"):
+    #    create_im_to_3d_demo(model)
 
     gr.HTML('''<br><br><br><center>You can duplicate this Space to skip the queue:<a href="https://huggingface.co/spaces/shariqfarooq/ZoeDepth?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a><br>
         <p><img src="https://visitor-badge.glitch.me/badge?page_id=shariqfarooq.zoedepth_demo_hf" alt="visitors"></p></center>''')