I have got the Intelligent Document Processing(IDP) Application from APPIAN Community and successfully deployed the application by following the instructions.
I have created a new Document Type by following the documentation provided in APPIAN Community.
I have also created a Google Cloud and integrated with IDP Application as per the requirement. But i haven't come across any documentation provided for this on APPIAN Community so i have created as per my knowledge.
Now while training the model with new Document Type by uploading a zip containing 10 sample PDFs and i can see a Process model(DU Train AutoML Natural Language Model) started in the backend and It has created a new DataSet(ID & Name) and begins training the model.
I can see errors have been captured in the process variables(attached screenshot for reference) while the process is still running and finally throws exception after 24 hours.
I feel like i have not created the Google Cloud correctly.
Kindly help me with this.
Could you run this expression rule in your environment:
and let us know if you get true or false as a result?
I tried executing the mentioned rule and can see TRUE as output.
Can you try uploading the zip again but with at least 20 documents? The docs recommends at least 20:https://docs.appian.com/suite/help/20.1/idp/configuring-idp.html#step-3-upload-example-documents
Please ensure that there aren't duplicate documents amongst the 20, and that none of them are within nested folders.
Even after uploading 20 non duplicate documents, I still see the same error captured while training the model.
Please check your training model details
1) Go to Google Cloud Platform Console->Natural Language->Datasets
2) Check for the status of your dataset
Refer this also
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