connect FROM LOCALL to AWS api and get TEXT embeddings using python code

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I want to learn how to connect FROM LOCALL to titan AWS api and get TEXT embeddings using python code

provide python code how to get text embeddings vector from amazon AWS using my local windows computer

you provide step by step instructions how to do : from start to end , including how to get cloud access keys

aceptance criteria I can do on my local windows computer

YOU HAVE ONE DAY

do by analogy with

[login to view URL]

or

[login to view URL]

from vertexai.preview.language_models import TextEmbeddingModel

model = TextEmbeddingModel.from_pretrained("textembedding-gecko")

embeddings = model.get_embeddings(["Dinner in New York City"])

for embedding in embeddings:

vector = [login to view URL]

print(vector)

given text EXAMPLES

Nariman Point, located on Mumbai's iconic Marine Drive, India, is a thriving business district offering an unparalleled skyline view. The breathtaking Arabian Sea vista combines with high-end eateries and shops, making it a prominent tourist attraction.

Or

The Bandra-Worli Sea Link in Mumbai, India is an architectural marvel that stretches across the Arabian Sea. This magnificent cable-stayed bridge offers breathtaking views, especially at night, making it a must-visit spectacle for tourists.

Python Amazon Web Services Аналіз та обробка даних NLP Хмарні обчислення

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