Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+
+# Load the depth estimation pipeline using Depth Anything V2 Large model
+depth_pipeline = pipeline(task="depth-estimation", model="depth-anything/Depth-Anything-V2-Large-hf")
+
+
+def predict_depth(image):
+    # image is a PIL Image
+    result = depth_pipeline(image)
+    depth_image = result["depth"]
+    return depth_image
+
+
+title = "Depth Anything V2 Large - Depth Map Generator"
+description = "Upload an image to generate a depth map using the Depth Anything V2 Large model (Relative depth)."
+
+
+iface = gr.Interface(
+    fn=predict_depth,
+    inputs=gr.Image(type="pil", label="Input Image"),
+    outputs=gr.Image(type="pil", label="Predicted Depth Map"),
+    title=title,
+    description=description,
+)
+
+
+if __name__ == "__main__":
+    iface.launch()