created handler.py

handler.py

@@ -0,0 +1,20 @@
+from typing import Dict, List, Any
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        model_id = "DisgustingOzil/Academic-MCQ-Generator"
+        load_in_4bit = True
+        self.tokenizer = AutoTokenizer.from_pretrained(model_id)
+        self.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 = self.tokenizer(input_text, return_tensors="pt")
+        outputs = self.model.generate(
+            **inputs,
+            max_length=1000,
+            num_return_sequences=1,
+        )
+        output_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
+        return [{"generated_text": output_text}]