Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+# Initialize the pipeline with the Marigold model hosted on Hugging Face
+model = pipeline("image-to-image", model="prs-eth/marigold-depth-v1-0")
+
+def predict_depth(image):
+    # Generate a depth map from the input image using the model
+    output = model(image)
+    return output['output_image']  # Ensure this key matches the output of your model
+
+# Set up the Gradio interface
+interface = gr.Interface(
+    fn=predict_depth,
+    inputs=gr.inputs.Image(shape=(512, 512), label="Upload Image"),
+    outputs=gr.outputs.Image(label="Depth Map"),
+    title="Marigold Depth Map Estimation",
+    description="Upload an image and the model will estimate and display its depth map."
+)
+
+if __name__ == "__main__":
+    interface.launch()