update description

app.py

@@ -32,21 +32,15 @@ from optimum.intel import (
     OVModelForPix2Struct,
     OVWeightQuantizationConfig,
 )
-from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipelineBase
 
 
-def export(
-    model_id: str,
-    private_repo: bool,
-    oauth_token: gr.OAuthToken,
-):
+def export(model_id: str, private_repo: bool, oauth_token: gr.OAuthToken):
     if oauth_token.token is None:
         raise ValueError("You must be logged in to use this space")
 
     model_name = model_id.split("/")[-1]
     username = whoami(oauth_token.token)["name"]
     new_repo_id = f"{username}/{model_name}-openvino"
-
     task = TasksManager.infer_task_from_model(model_id)
     if task not in _HEAD_TO_AUTOMODELS:
         raise ValueError(
@@ -80,7 +74,18 @@ def export(
             print("Repo created successfully!", new_repo_url)
 
             folder = Path(folder)
-            for dir_name in ("", "vae_encoder", "vae_decoder", "text_encoder", "text_encoder_2", "unet", "tokenizer", "tokenizer_2", "scheduler", "feature_extractor"):
+            for dir_name in (
+                "",
+                "vae_encoder",
+                "vae_decoder",
+                "text_encoder",
+                "text_encoder_2",
+                "unet",
+                "tokenizer",
+                "tokenizer_2",
+                "scheduler",
+                "feature_extractor",
+            ):
                 if not (folder / dir_name).is_dir():
                     continue
                 for file_path in (folder / dir_name).iterdir():
@@ -139,7 +144,8 @@ def export(
 DESCRIPTION = """
 This Space uses [Optimum Intel](https://huggingface.co/docs/optimum/main/en/intel/openvino/export) to automatically export a model from the [Hub](https://huggingface.co/models) to the [OpenVINO format](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html).
 
-The resulting model will then be pushed under your HF user namespace. For now we only support conversion for models that are hosted on public repositories.
+The resulting model will then be pushed under your HF user namespace. For now we only support conversion for models that are hosted on public repositories, support for gated or private models will be supported in a future version of this space.
+Custom models that needs to be loaded with `trust_remote_code=True` are also not supported.
 """
 
 model_id = HuggingfaceHubSearch(