python/04-nlp-comprehend.py [7:25]:
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textract = boto3.client('textract')

# Call Amazon Textract
with open(documentName, "rb") as document:
    response = textract.detect_document_text(
        Document={
            'Bytes': document.read(),
        }
    )

#print(response)

# Print text
print("\nText\n========")
text = ""
for item in response["Blocks"]:
    if item["BlockType"] == "LINE":
        print ('\033[94m' +  item["Text"] + '\033[0m')
        text = text + " " + item["Text"]
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python/05-nlp-medical.py [7:25]:
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textract = boto3.client('textract')

# Call Amazon Textract
with open(documentName, "rb") as document:
    response = textract.detect_document_text(
        Document={
            'Bytes': document.read(),
        }
    )

#print(response)

# Print text
print("\nText\n========")
text = ""
for item in response["Blocks"]:
    if item["BlockType"] == "LINE":
        print ('\033[94m' +  item["Text"] + '\033[0m')
        text = text + " " + item["Text"]
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