Add support for object-detection models in gr.load() (#7716)

* add support for object-detection models in gr.load

* add changeset

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>

.changeset/curly-ends-feel.md

@@ -0,0 +1,5 @@
+---
+"gradio": patch
+---
+
+fix:Add support for object-detection models in `gr.load()`

gradio/external.py

@@ -343,6 +343,11 @@ def from_model(model_name: str, hf_token: str | None, alias: str | None, **kwarg
             label="Predictions", type="array", headers=["prediction"]
         )
         fn = external_utils.tabular_wrapper
+    # example model: microsoft/table-transformer-detection
+    elif p == "object-detection":
+        inputs = components.Image(type="filepath", label="Input Image")
+        outputs = components.AnnotatedImage(label="Annotations")
+        fn = external_utils.object_detection_wrapper(client)
     else:
         raise ValueError(f"Unsupported pipeline type: {p}")
 

gradio/external_utils.py

@@ -169,6 +169,26 @@ def token_classification_wrapper(client: InferenceClient):
     return token_classification_inner
 
 
+def object_detection_wrapper(client: InferenceClient):
+    def object_detection_inner(input: str):
+        annotations = client.object_detection(input)
+        formatted_annotations = [
+            (
+                (
+                    a["box"]["xmin"],
+                    a["box"]["ymin"],
+                    a["box"]["xmax"],
+                    a["box"]["ymax"],
+                ),
+                a["label"],
+            )
+            for a in annotations
+        ]
+        return (input, formatted_annotations)
+
+    return object_detection_inner
+
+
 def chatbot_preprocess(text, state):
     if not state:
         return text, [], []