diff --git a/apps/language_models/scripts/vicuna.py b/apps/language_models/scripts/vicuna.py
index 2c2d4cacf6..04d5df23cb 100644
--- a/apps/language_models/scripts/vicuna.py
+++ b/apps/language_models/scripts/vicuna.py
@@ -419,44 +419,6 @@ def generate_new_token(self, params, sharded=True):
 
         return ret_dict
 
-    def generate_new_token(self, params):
-        is_first = params["is_first"]
-        if is_first:
-            prompt = params["prompt"]
-            input_ids = self.tokenizer(prompt).input_ids
-            # crop input_ids
-            # input_ids = input_ids[len(input_ids) - 20 :]
-            ############
-            input_id_len = len(input_ids)
-            input_ids = torch.tensor(input_ids)
-            input_ids = input_ids.reshape([1, input_id_len])
-            output = self.shark_model.forward(input_ids, is_first=is_first)
-        else:
-            token = params["token"]
-            past_key_values = params["past_key_values"]
-            input_ids = [token]
-            input_id_len = len(input_ids)
-            input_ids = torch.tensor(input_ids)
-            input_ids = input_ids.reshape([1, input_id_len])
-            output = self.shark_model.forward(
-                input_ids, past_key_values=past_key_values, is_first=is_first
-            )
-
-        _logits = output["logits"]
-        _past_key_values = output["past_key_values"]
-        _token = int(torch.argmax(_logits[:, -1, :], dim=1)[0])
-        _detok = self.tokenizer.decode(_token)
-
-        ret_dict = {
-            "token": _token,
-            "detok": _detok,
-            "past_key_values": _past_key_values,
-        }
-
-        print(f" token : {_token} | detok : {_detok}")
-
-        return ret_dict
-
 
 class ShardedVicuna(VicunaBase):
     # Class representing Sharded Vicuna Model
@@ -976,7 +938,7 @@ def compile_to_vmfb_one_model(
                         "--iree-codegen-check-ir-before-llvm-conversion=false",
                         "--iree-vm-bytecode-module-output-format=flatbuffer-binary",
                         "--iree-opt-const-expr-hoisting=False",
-                        "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807"
+                        "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807",
                     ],
                 )
                 module.load_module(vmfb_path)
@@ -1044,7 +1006,7 @@ def compile_to_vmfb_one_model4(
                         "--iree-codegen-check-ir-before-llvm-conversion=false",
                         "--iree-vm-bytecode-module-output-format=flatbuffer-binary",
                         "--iree-opt-const-expr-hoisting=False",
-                        "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807"
+                        "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807",
                     ],
                 )
                 module.load_module(vmfb_path)
@@ -1640,7 +1602,7 @@ def compile(self, download_vmfb=False):
                 "--iree-codegen-check-ir-before-llvm-conversion=false",
                 "--iree-vm-bytecode-module-output-format=flatbuffer-binary",
                 "--iree-opt-const-expr-hoisting=False",
-                "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807"
+                "--iree-codegen-linalg-max-constant-fold-elements=9223372036854775807",
             ],
         )
         print("Saved vic vmfb at ", str(path))
@@ -1792,8 +1754,9 @@ def autocomplete(self, prompt):
                 system_message,
                 history,
                 model=model_list[args.model_name],
-                device=args.device,
+                devices=args.device,
                 precision=args.precision,
+                config_file=None,
                 cli=args.cli,
             )
         )[0]