Upload handler.py

handler.py

@@ -0,0 +1,47 @@
+from typing import Dict, List, Any
+import torch
+from transformers import pipeline, set_seed
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.pipeline = pipeline(
+            "text-generation",
+            model="openai-community/gpt2",
+            device_map='auto',
+            #trust_remote_code=True,
+            model_kwargs={
+                "load_in_4bit": True
+            },
+            # batch_size=1,
+            )
+        # model.generation_config
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+         data args:
+              inputs (:obj: `str`)
+              parameters (:obj: `Dict`)
+        Return:
+              A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # get inputs
+        inputs = data.pop("inputs", "")
+        # get additional date field
+        params = data.pop("parameters", ())
+        if not params:
+            params = dict()
+        set_seed(42)
+        # run normal prediction
+        generation = self.pipeline(inputs, **params)
+        # **generate_kwargs https://huggingface.co/docs/transformers/generation_strategies#customize-text-generation, 
+        #                   https://huggingface.co/docs/transformers/generation_strategies#customize-text-generation
+        return generation 
+
+# Returns
+
+# A list or a list of list of dict
+
+# Returns one of the following dictionaries (cannot return a combination of both generated_text and generated_token_ids):
+
+# generated_text (str, present when return_text=True) — The generated text.
+# generated_token_ids (torch.Tensor or tf.Tensor, present when return_tensors=True) — The token ids of the generated text.