Create handler.py

handler.py

@@ -0,0 +1,24 @@
+from typing import Dict, List, Any
+from transformers import AutoTokenizer, AutoModel
+
+
+class EndpointHandler():
+    def __init__(self):
+        self.tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True)
+        self.model = AutoModel.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True).half().cuda()
+        self.model = self.model.eval()
+
+
+def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    """
+   data args:
+        inputs (:obj: `str`)
+  Return:
+        A :obj:`list` | `dict`: will be serialized and returned
+    """
+    # get inputs
+    inputs = data.pop("inputs", data)
+
+    response, history = self.model.chat(self.tokenizer, inputs, history=[])
+
+    return [{'response': response, 'history': history}]