--- a
+++ b/examples/remote_ark.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+
+__doc__ = """
+This example shows how to use a client to access a 
+remote Sybil server (running Ark) to predict risk scores for a set of DICOM files.
+
+The server must be started separately.
+
+https://github.com/reginabarzilaygroup/Sybil/wiki
+https://github.com/reginabarzilaygroup/ark/wiki
+"""
+import json
+import os
+
+import numpy as np
+import requests
+
+import sybil.utils.visualization
+
+from utils import get_demo_data
+
+if __name__ == "__main__":
+
+    dicom_files = get_demo_data()
+    serie = sybil.Serie(dicom_files)
+
+    # Set the URL of the remote Sybil server
+    ark_hostname = "localhost"
+    ark_port = 5000
+
+    # Set the URL of the remote Sybil server
+    ark_host = f"http://{ark_hostname}:{ark_port}"
+
+    data_dict = {"return_attentions": True}
+    payload = {"data": json.dumps(data_dict)}
+
+    # Check if the server is running and reachable
+    resp = requests.get(f"{ark_host}/info")
+    if resp.status_code != 200:
+        raise ValueError(f"Failed to connect to ARK server. Status code: {resp.status_code}")
+
+    info_data = resp.json()["data"]
+    assert info_data["modelName"].lower() == "sybil", "The ARK server is not running Sybil"
+    print(f"ARK server info: {info_data}")
+
+    # Submit prediction to ARK server.
+    files = [('dicom', open(file_path, 'rb')) for file_path in dicom_files]
+    r = requests.post(f"{ark_host}/dicom/files", files=files, data=payload)
+    _ = [f[1].close() for f in files]
+    if r.status_code != 200:
+        raise ValueError(f"Error occurred processing DICOM files. Status code: {r.status_code}.\n{r.text}")
+
+    r_json = r.json()
+    predictions = r_json["data"]["predictions"]
+
+    scores = predictions[0]
+    print(f"Risk scores: {scores}")
+
+    attentions = predictions[1]
+    attentions = np.array(attentions)
+    print(f"Ark received attention shape: {attentions.shape}")
+
+    # Visualize attention maps
+    save_directory = "remote_ark_sybil_attention_output"
+
+    print(f"Writing attention images to {save_directory}")
+
+    images = serie.get_raw_images()
+    overlayed_images = sybil.utils.visualization.build_overlayed_images(images, attentions, gain=3)
+
+    if save_directory is not None:
+        serie_idx = 0
+        save_path = os.path.join(save_directory, f"serie_{serie_idx}")
+        sybil.utils.visualization.save_images(overlayed_images, save_path, f"serie_{serie_idx}")
+
+    print(f"Finished writing attention images to {save_directory}")
+