This tutorial gets your started with GCP Vertex AI Generative AI service in step by step demo.
Commands Used:
gcloud services enable aiplatform.googleapis.com
gcloud iam service-accounts create <Your Service Account Name>
gcloud projects add-iam-policy-binding <Your Project ID> \
--member=serviceAccount:<Your Service Account Name>@<Your Project ID>.iam.gserviceaccount.com \
--role=roles/aiplatform.admin
from google.auth.transport.requests import Request
from google.oauth2.service_account import Credentials
key_path='<Your Project ID>.json'
credentials = Credentials.from_service_account_file(
key_path,
scopes=['https://www.googleapis.com/auth/cloud-platform'])
if credentials.expired:
credentials.refresh(Request())
PROJECT_ID = '<Your Project ID>'
REGION = 'us-central1'
!pip install -U google-cloud-aiplatform "shapely<2"
import vertexai
# initialize vertex
vertexai.init(project = PROJECT_ID, location = REGION, credentials = credentials)
from vertexai.language_models import TextGenerationModel
generation_model = TextGenerationModel.from_pretrained("text-bison@001")
prompt = "I want to self manage a bathroom renovation project in my home. \
Please suggest me step by step plan to carry out this project."
print(generation_model.predict(prompt=prompt).text)