test

app.py

@@ -1,7 +1,35 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def duplicate_image(image):
+    # Simply return the same image twice
+    return image, image
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=duplicate_image, 
+    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."
+)
+
+# Launch the Gradio app
+iface.launch()
+
+
+""" 
+from transformers import pipeline
+from PIL import Image
+import requests
+
+# load pipe
+pipe = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-small-hf")
+
+# load image
+url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
+image = Image.open(requests.get(url, stream=True).raw)
+
+# inference
+depth = pipe(image)["depth"]
+
+"""