Summarization

pip install bedrock_anthropic

import os 
from bedrock_anthropic import AnthropicBedrock
 
anthropic = AnthropicBedrock(
    access_key=os.getenv("AWS_ACCESS_KEY"),
    secret_key=os.getenv("AWS_SECRET_KEY"),
    region=os.getenv("AWS_REGION")
)
 
prompt = """Please provide a summary of the following text.
 
<text>
AWS took all of that feedback from customers, and today we are excited to
announce Amazon Bedrock, \ a new service that makes FMs from AI21 Labs,
Anthropic, Stability AI, and Amazon accessible via an API. \ Bedrock is the
easiest way for customers to build and scale generative AI-based applications
using FMs, \ democratizing access for all builders. Bedrock will offer the
ability to access a range of powerful FMs \ for text and images—including
Amazons Titan FMs, which consist of two new LLMs we’re also announcing \
today—through a scalable, reliable, and secure AWS managed service. With
Bedrock’s serverless experience, \ customers can easily find the right model
for what they’re trying to get done, get started quickly, privately \
customize FMs with their own data, and easily integrate and deploy them into
their applications using the AWS \ tools and capabilities they are familiar
with, without having to manage any infrastructure (including integrations \
with Amazon SageMaker ML features like Experiments to test different models
and Pipelines to manage their FMs at scale).
</text>
"""
 
completion = anthropic.Completion.create(
    model="anthropic.cluade-v2",
    prompt=prompt,
    max_tokens_to_sample=1000
)
 
print(completion["completion"])