feature: Add support for Streaming Inference

[mufaddal-rohawala]

Issue #, if available:

Description of changes:
Recently SageMaker added support for real-time inference to help building interactive experiences for various generative AI applications such as chatbots, virtual assistants, and music generators. More Information in Launch Announcement.

The support in SageMaker Python SDK will now allow usage of existing Predictor Class abstractions to interact with the API_runtime_InvokeEndpointWithResponseStream. An example usage is as follows:

from sagemaker.iterators import LineIterator

initial_args = {"ContentType":"application/json"}
data = {"inputs": "what does AWS stand for?", "parameters": {"max_new_tokens":400}}
stream_iterator = predictor.predict_stream(
    data=json.dumps(data),
    initial_args=initial_args,
    iterator=LineIterator,
)

for line in stream_iterator:
    resp = json.loads(line)
    print(resp.get("outputs")[0], end='')

Testing done:
Tested the execution of notebook using the predict_stream functionality. Added an integ test for the same.

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

• I have read the CONTRIBUTING doc
• I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
• I used the commit message format described in CONTRIBUTING
• I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
• I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

• I have added tests that prove my fix is effective or that my feature works (if appropriate)
• I have added unit and/or integration tests as appropriate to ensure backward compatibility of the changes
• I have checked that my tests are not configured for a specific region or account (if appropriate)
• I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

[codecov]

Codecov Report

Attention: Patch coverage is 91.25000% with 7 lines in your changes are missing coverage. Please review.

Project coverage is 87.35%. Comparing base (15a40ff) to head (9b43eab).

Files	Patch %	Lines
src/sagemaker/iterators.py	89.83%	6 Missing ⚠️
src/sagemaker/exceptions.py	90.90%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #4497   +/-   ##
=======================================
  Coverage   87.34%   87.35%           
=======================================
  Files         388      389    +1     
  Lines       36545    36625   +80     
=======================================
+ Hits        31921    31994   +73     
- Misses       4624     4631    +7     

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[mufaddal-rohawala]

AWS CodeBuild CI Report

• CodeBuild project: sagemaker-python-sdk-notebook-tests
• Commit ID: 936e9a1
• Result: SUCCEEDED
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[mufaddal-rohawala]

AWS CodeBuild CI Report

• CodeBuild project: sagemaker-python-sdk-local-mode-tests
• Commit ID: 936e9a1
• Result: SUCCEEDED
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[mufaddal-rohawala]

AWS CodeBuild CI Report

• CodeBuild project: sagemaker-python-sdk-pr
• Commit ID: 936e9a1
• Result: FAILED
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[mufaddal-rohawala]

AWS CodeBuild CI Report

• CodeBuild project: sagemaker-python-sdk-slow-tests
• Commit ID: 936e9a1
• Result: FAILED
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[mufaddal-rohawala]

AWS CodeBuild CI Report

• CodeBuild project: sagemaker-python-sdk-pr
• Commit ID: 9b43eab
• Result: SUCCEEDED
• Build Logs (available for 30 days)

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