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Intelligent Document Processing with AWS AI Services and generative AI

Jupyter Notebook 96.88% HTML 0.39% Python 2.62% Dockerfile 0.09% Shell 0.01%

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aws-ai-intelligent-document-processing's Issues

02-idp-document-extraction-01.ipynb

Document

documentName = "simple-document-image.jpg"
display(Image(filename=documentName))

ERROR:

FileNotFoundError Traceback (most recent call last)
in
----> 1 display(Image(filename=documentName))

/opt/conda/lib/python3.7/site-packages/IPython/core/display.py in init(self, data, url, filename, format, embed, width, height, retina, unconfined, metadata)
1230 self.unconfined = unconfined
1231 super(Image, self).init(data=data, url=url, filename=filename,
-> 1232 metadata=metadata)
1233
1234 if self.width is None and self.metadata.get('width', {}):

/opt/conda/lib/python3.7/site-packages/IPython/core/display.py in init(self, data, url, filename, metadata)
635 self.metadata = {}
636
--> 637 self.reload()
638 self._check_data()
639

/opt/conda/lib/python3.7/site-packages/IPython/core/display.py in reload(self)
1261 """Reload the raw data from file or URL."""
1262 if self.embed:
-> 1263 super(Image,self).reload()
1264 if self.retina:
1265 self._retina_shape()

/opt/conda/lib/python3.7/site-packages/IPython/core/display.py in reload(self)
660 """Reload the raw data from file or URL."""
661 if self.filename is not None:
--> 662 with open(self.filename, self._read_flags) as f:
663 self.data = f.read()
664 elif self.url is not None:

FileNotFoundError: [Errno 2] No such file or directory: 'simple-document-image.jpg'

Expected AWS Platform Spend for deployment

Hi,

I'd like to recommend this as a Proof-of-Concept deployment to enable discovery of this service, but to do this I need an estimate of the estimated AWS platform spend for this. Could this be displayed on the README?

Thank you,
@herbtama

AWS::SageMaker::Domain with identifier already exist

HI. During the creation of a new stack I got the message "AWS::SageMaker::Domain with identifier already exist" and the status is automatically set to "rollback". What do I need to change in yaml file to have a new stack created? Thanks

CloudFormation error

Despite following the instructions closely, I'm encountering the following error on the first CloudFormation step.
Template error: Unable to get mapping for RegionMap::me-central-1::datascience
2024-02-29_21-44-11

Cannot Create User Pool for Notebook 04 & 04.01

Launched via Workshop Studio. When creating Private Labelling team:

400 AccessDeniedException: User: arn:aws:sts::xxxxxxxxxx:assumed-role/WSParticipantRole/Participant is not authorized to perform: cognito-idp:CreateUserPool on resource: * because no identity-based policy allows the cognito-idp:CreateUserPool action Request ID: 

02-idp-document-extraction-02.ipynb does not exist

The last step in module2 - doc extraction
cannot performed since the file 02-idp-document-extraction-02.ipynb does not exist.

Fix:
Add and execute the following lines in 02-idp-document-extraction.ipynb to receive the notebook 02-idp-document-extraction-02.ipynb

!wget 'https://github.com/aws-samples/amazon-textract-code-samples/raw/master/python/queries/insurance-card.ipynb' -O './02-idp-document-extraction-02.ipynb'
!wget 'https://github.com/aws-samples/amazon-textract-code-samples/raw/master/python/queries/insurance-card.png' -O './insurance-card.png'

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