Update handler.py

handler.py

@@ -9,7 +9,8 @@ class EndpointHandler():
 
     def __call__(self, data: str) -> str:
         inputs = data.pop("inputs", data)
-        inp = self.tokenizer("thalaivaru Nirantharam", return_tensors="pt")
+        parameters = data.pop("parameters", None)
+        inp = self.tokenizer(inputs, return_tensors="pt")
         with torch.inference_mode():
             out= self.model.generate(**inp)
         final_output = self.tokenizer.batch_decode(out,skip_special_tokens=True)