Vertex

hey guys how to use vertex ai with llama index, i have service account json file path stored in path (mac env) as GOOGLE_APPLICATION_CREDENTIALS, what else i should configure, still i get this error

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PermissionDenied: 403 Request had insufficient authentication scopes. [reason: "ACCESS_TOKEN_SCOPE_INSUFFICIENT"
domain: "googleapis.com"
metadata {
  key: "service"
  value: "aiplatform.googleapis.com"
}
metadata {
  key: "method"
  value: "google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel"
}

for the code

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import vertexai
from google.cloud import aiplatform
from vertexai import preview

project_id = "project-id"
location = "us-central1"

vertexai.init(project=project_id, location=location)

aiplatform.init(
    # your Google Cloud Project ID or number
    # environment default used is not set
    project=project_id,
    # the Vertex AI region you will use
    # defaults to us-central1
    location=location,
    # Google Cloud Storage bucket in same region as location
    # used to stage artifacts
    #     staging_bucket='gs://my_staging_bucket',
    # custom google.auth.credentials.Credentials
    # environment default credentials used if not set
    #     credentials=my_credentials,
    # customer managed encryption key resource name
    # will be applied to all Vertex AI resources if set
    #     encryption_spec_key_name=my_encryption_key_name,
    # the name of the experiment to use to track
    # logged metrics and parameters
    #     experiment='my-experiment',
    # description of the experiment above
    #     experiment_description='my experiment description'
)

above code i have initialised the gcp
when i ran this code

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from llama_index.llms.vertex import Vertex

llm = Vertex(model="text-bison", temperature=0, additional_kwargs={})
llm.complete("Hello this is a sample text").text

help me out @everyone

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