create handler.[y

handler.py

@@ -0,0 +1,22 @@
+from typing import Dict, List, Any
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import holidays
+
+class EndpointHandler():
+    def __init__(self, path=""):
+      model_id = "DisgustingOzil/Academic-MCQ-Generator"
+      load_in_4bit = True
+      max_seq_length = 2048
+      tokenizer = AutoTokenizer.from_pretrained(model_id)
+      model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=load_in_4bit)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        input_text = data.pop("input_text",data)
+        inputs = tokenizer(input_text, return_tensors="pt")
+        outputs = model.generate(
+              **inputs,
+              max_length=1000,
+              num_return_sequences=1,
+                )
+        output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+        return output_text