Fix: do not erase existing values on update_inference_endpoint

src/huggingface_hub/hf_api.py

@@ -19,6 +19,7 @@
 import re
 import struct
 import warnings
+from collections import defaultdict
 from concurrent.futures import Future, ThreadPoolExecutor
 from dataclasses import asdict, dataclass, field
 from datetime import datetime
@@ -7674,30 +7675,30 @@ def update_inference_endpoint(
         """
         namespace = namespace or self._get_namespace(token=token)
 
-        payload: Dict = {}
-        if any(
-            value is not None
-            for value in (accelerator, instance_size, instance_type, min_replica, max_replica, scale_to_zero_timeout)
-        ):
-            payload["compute"] = {
-                "accelerator": accelerator,
-                "instanceSize": instance_size,
-                "instanceType": instance_type,
-                "scaling": {
-                    "maxReplica": max_replica,
-                    "minReplica": min_replica,
-                    "scaleToZeroTimeout": scale_to_zero_timeout,
-                },
-            }
-        if any(value is not None for value in (repository, framework, revision, task, custom_image)):
-            image = {"custom": custom_image} if custom_image is not None else {"huggingface": {}}
-            payload["model"] = {
-                "framework": framework,
-                "repository": repository,
-                "revision": revision,
-                "task": task,
-                "image": image,
-            }
+        # Populate only the fields that are not None
+        payload: Dict = defaultdict(lambda: defaultdict(dict))
+        if accelerator is not None:
+            payload["compute"]["accelerator"] = accelerator
+        if instance_size is not None:
+            payload["compute"]["instanceSize"] = instance_size
+        if instance_type is not None:
+            payload["compute"]["instanceType"] = instance_type
+        if max_replica is not None:
+            payload["compute"]["scaling"]["maxReplica"] = max_replica
+        if min_replica is not None:
+            payload["compute"]["scaling"]["minReplica"] = min_replica
+        if scale_to_zero_timeout is not None:
+            payload["compute"]["scaling"]["scaleToZeroTimeout"] = scale_to_zero_timeout
+        if repository is not None:
+            payload["model"]["repository"] = repository
+        if framework is not None:
+            payload["model"]["framework"] = framework
+        if revision is not None:
+            payload["model"]["revision"] = revision
+        if task is not None:
+            payload["model"]["task"] = task
+        if custom_image is not None:
+            payload["model"]["image"] = {"custom": custom_image}
 
         response = get_session().put(
             f"{INFERENCE_ENDPOINTS_ENDPOINT}/endpoint/{namespace}/{name}",