RestException: INTERNAL_ERROR: Ticket not given or unrecognized while using MLFlow commands

Hi
I am working on logging fine tuned hugging face model to MLflow from Dataiku notebook.
I am not sure why I am facing Internal error, it works fine at times but again starts giving this error, at the simplest step creating experiment

Not sure if the error is in code or notebook kernel or authentication

RestException Traceback (most recent call last)
<ipython-input-8-8fd008361684> in <cell line: 1>()
13 print("Experiment created with name : {}".format(EXPERIMENT_NAME))
14
---> 15 experiment = mlflow.get_experiment_by_name(EXPERIMENT_NAME)
16 experiment_id = experiment.experiment_id
17 print("Experiment name is: {} and ID is: {} ".format(EXPERIMENT_NAME,experiment_id))

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/tracking/fluent.py in get_experiment_by_name(name)
1628 Creation timestamp: 1662004217511
1629 """
-> 1630 return MlflowClient().get_experiment_by_name(name)
1631
1632

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/tracking/client.py in get_experiment_by_name(self, name)
1254 Lifecycle_stage: active
1255 """
-> 1256 return self._tracking_client.get_experiment_by_name(name)
1257
1258 def create_experiment(

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/tracking/_tracking_service/client.py in get_experiment_by_name(self, name)
499 :py:class:mlflow.entities.Experiment
500 """
--> 501 return self.store.get_experiment_by_name(name)
502
503 def create_experiment(self, name, artifact_location=None, tags=None):

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/store/tracking/rest_store.py in get_experiment_by_name(self, experiment_name)
517 try:
518 req_body = message_to_json(GetExperimentByName(experiment_name=experiment_name))
--> 519 response_proto = self._call_endpoint(GetExperimentByName, req_body)
520 return Experiment.from_proto(response_proto.experiment)
521 except MlflowException as e:

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/store/tracking/rest_store.py in _call_endpoint(self, api, json_body, endpoint)
80 endpoint, method = _METHOD_TO_INFO[api]
81 response_proto = api.Response()
---> 82 return call_endpoint(self.get_host_creds(), endpoint, method, json_body, response_proto)
83
84 def search_experiments(

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/utils/rest_utils.py in call_endpoint(host_creds, endpoint, method, json_body, response_proto, extra_headers)
368 response = http_request(**call_kwargs)
369
--> 370 response = verify_rest_response(response, endpoint)
371 response_to_parse = response.text
372 js_dict = json.loads(response_to_parse)

/opt/dataiku/code-env/lib/python3.9/site-packages/mlflow/utils/rest_utils.py in verify_rest_response(response, endpoint)
238 if response.status_code != 200:
239 if _can_parse_as_json_object(response.text):
--> 240 raise RestException(json.loads(response.text))
241 else:
242 base_msg = (

RestException: INTERNAL_ERROR: Ticket not given or unrecognized