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View Code? Open in Web Editor NEWIntelligent Document Processing with AWS AI Services and generative AI
Intelligent Document Processing with AWS AI Services and generative AI
%store ENDPOINT_ARN
ERROR: UsageError: Unknown variable 'ENDPOINT_ARN'
documentName = "simple-document-image.jpg"
display(Image(filename=documentName))
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'
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
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
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:
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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