test

app.py

@@ -1,22 +1,29 @@
+from transformers import pipeline
+from PIL import Image
 import gradio as gr
 
-def duplicate_image(image):
-    # Simply return the same image twice
-    return image, image
+# Load the Hugging Face depth estimation pipeline
+pipe = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-small-hf")
+
+def estimate_depth(image):
+    # Perform depth estimation on the input image
+    depth = pipe(image)["depth"]
+    return depth
 
 # Create a Gradio interface
 iface = gr.Interface(
-    fn=duplicate_image, 
+    fn=estimate_depth, 
     inputs=gr.Image(type="pil"), 
-    outputs=[gr.Image(type="pil"), gr.Image(type="pil")],
-    title="Duplicate Image",
-    description="Upload an image and get two identical copies as output."
+    outputs=gr.Image(type="pil"),
+    title="Depth Estimation",
+    description="Upload an image to get its depth estimation map."
 )
 
 # Launch the Gradio app
 iface.launch()
 
 
+
 """ 
 from transformers import pipeline
 from PIL import Image