Update app.py

app.py

@@ -5,17 +5,17 @@ import gradio as gr
 # Load the Hugging Face depth estimation pipelines
 pipe_base = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-base-hf")
 pipe_small = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-small-hf")
-pipe_intel = pipeline(task="depth-estimation", model="Intel/dpt-swinv2-tiny-256")
+pipe_large = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-large-hf")
 pipe_beit = pipeline(task="depth-estimation", model="Intel/dpt-beit-base-384")
 
 def estimate_depths(image):
     # Perform depth estimation with each pipeline
     depth_base = pipe_base(image)["depth"]
     depth_small = pipe_small(image)["depth"]
-    depth_intel = pipe_intel(image)["depth"]
+    depth_large = pipe_large(image)["depth"]
     depth_beit = pipe_beit(image)["depth"]
     
-    return depth_base, depth_small, depth_intel, depth_beit
+    return depth_base, depth_small, depth_large, depth_beit
 
 # Create a Gradio interface using Blocks
 with gr.Blocks() as iface:
@@ -29,10 +29,10 @@ with gr.Blocks() as iface:
             output_base = gr.Image(type="pil", label="LiheYoung/depth-anything-base-hf", interactive=False, height=400, width=400)
             output_small = gr.Image(type="pil", label="LiheYoung/depth-anything-small-hf", interactive=False, height=400, width=400)
         with gr.Column():
-            output_intel = gr.Image(type="pil", label="Intel/dpt-swinv2-tiny-256", interactive=False, height=400, width=400)
+            output_large = gr.Image(type="pil", label="LiheYoung/depth-anything-large-hf", interactive=False, height=400, width=400)
             output_beit = gr.Image(type="pil", label="Intel/dpt-beit-base-384", interactive=False, height=400, width=400)
 
-    input_image.change(fn=estimate_depths, inputs=input_image, outputs=[output_base, output_small, output_intel, output_beit])
+    input_image.change(fn=estimate_depths, inputs=input_image, outputs=[output_base, output_small, output_large, output_beit])
 
 # Launch the Gradio app
 iface.launch()