handler

handler.py

@@ -0,0 +1,31 @@
+from typing import List
+from transformers import CLIPTokenizer, CLIPModel
+
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # self.model= load_model(path)
+        hf_model_path = "openai/clip-vit-large-patch14"
+        self.model = CLIPModel.from_pretrained(hf_model_path)
+        self.tokenizer = CLIPTokenizer.from_pretrained(hf_model_path)
+
+    def __call__(self, inputs: str) -> List[float]:
+        """
+       data args:
+            inputs (:obj: `str` | `PIL.Image` | `np.array`)
+            kwargs
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+
+        # pseudo
+        # self.model(input)
+        token_inputs = self.tokenizer([inputs],  padding=True, return_tensors="pt")
+        query_embed = self.model.get_text_features(**token_inputs)
+        np_query_embed = query_embed.detach().cpu().numpy()[0].tolist()
+        return np_query_embed
+
+
+# if __name__ == "__main__":
+#     handler = EndpointHandler()
+#     print(handler("a dog"))