Upload 2 files

added requirements.txt and handler.py

handler.py

@@ -0,0 +1,22 @@
+from typing import Dict, List, Any
+from transformers import pipeline, GPT2Tokenizer
+from model import GPT
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # Preload all the elements you are going to need at inference.
+        model = GPT.from_pretrained(path)
+        tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
+        self.pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str` | `PIL.Image` | `np.array`)
+            kwargs
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        inputs = data.pop("inputs", data)
+        output = self.pipeline(inputs)
+        return {"Answer": output}

requirements.txt

@@ -0,0 +1,5 @@
+--extra-index-url https://download.pytorch.org/whl/cu116
+torch
+tiktoken
+numpy
+transformers