update handler.py

handler.py

@@ -0,0 +1,23 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.pipeline = pipeline("visual-question-answering", model=path)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str`)
+            date (:obj: `str`)
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # get inputs
+        image = "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg"
+        question = data.pop("question", data)
+        # inputs = data.pop("inputs", data)
+
+        # run normal prediction
+        prediction = self.pipeline(image, question, top_k=10)
+        return prediction