Update app.py

app.py

@@ -11,6 +11,8 @@ import spaces
 
 dpt_beit = pipeline(task = "depth-estimation", model="Intel/dpt-beit-base-384")
 depth_anything = pipeline(task = "depth-estimation", model="nielsr/depth-anything-small")
+dpt_large = pipeline(task = "depth-estimation", model="intel/dpt-large")
+
 @spaces.GPU
 def depth_anything_inference(image_path):
   return depth_anything(image_path)["depth"]
@@ -19,17 +21,13 @@ def depth_anything_inference(image_path):
 def dpt_beit_inference(image):
   return dpt_beit(image)["depth"]
 
-def dpt_large(image_path):
-    try:
-        client = Client("https://nielsr-dpt-depth-estimation.hf.space/")
-        return Image.open(client.predict(image_path))
-    except Exception:
-        gr.Warning("The DPT-Large Space is currently unavailable. Please try again later.")
-        return ""
+
+def dpt_large_inference(image):
+  return dpt_large(image)["depth"]
     
 
 def infer(image):
-  return dpt_large(image), dpt_beit_inference(image), depth_anything_inference(image)
+  return dpt_large_inference(image), dpt_beit_inference(image), depth_anything_inference(image)
 
 
 iface = gr.Interface(fn=infer, 
@@ -40,5 +38,5 @@ iface = gr.Interface(fn=infer,
                               
                      title="Compare Depth Estimation Models",
                      description="In this Space you can compare various depth estimation models.",
-                     examples=[["./bee.JPG"]])
+                     examples=[["bee.JPG"]])
 iface.launch(debug=True)