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...s/azure-ai-textanalytics/samples/async_samples/sample_alternative_document_input_async.py
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| # coding: utf-8 | ||
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| # ------------------------------------------------------------------------- | ||
| # Copyright (c) Microsoft Corporation. All rights reserved. | ||
| # Licensed under the MIT License. See License.txt in the project root for | ||
| # license information. | ||
| # -------------------------------------------------------------------------- | ||
|
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| """ | ||
| FILE: sample_alternative_document_input_async.py | ||
| DESCRIPTION: | ||
| This sample shows an alternative way to pass in the input documents. | ||
| Here we specify our own IDs and the text language along with the text. | ||
| USAGE: | ||
| python sample_alternative_document_input_async.py | ||
| Set the environment variables with your own values before running the sample: | ||
| 1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your Cognitive Services resource. | ||
| 2) AZURE_TEXT_ANALYTICS_KEY - your Text Analytics subscription key | ||
| """ | ||
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| import os | ||
| import asyncio | ||
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| class AlternativeDocumentInputSampleAsync(object): | ||
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| endpoint = os.getenv("AZURE_TEXT_ANALYTICS_ENDPOINT") | ||
| key = os.getenv("AZURE_TEXT_ANALYTICS_KEY") | ||
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| async def alternative_document_input(self): | ||
| from azure.ai.textanalytics.aio import TextAnalyticsClient | ||
| from azure.ai.textanalytics import TextAnalyticsApiKeyCredential | ||
| text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=TextAnalyticsApiKeyCredential(self.key)) | ||
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| documents = [ | ||
| {"id": "0", "language": "en", "text": "I had the best day of my life."}, | ||
| {"id": "1", "language": "en", | ||
| "text": "This was a waste of my time. The speaker put me to sleep."}, | ||
| {"id": "2", "language": "es", "text": "No tengo dinero ni nada que dar..."}, | ||
| {"id": "3", "language": "fr", | ||
| "text": "L'hôtel n'était pas très confortable. L'éclairage était trop sombre."} | ||
| ] | ||
| async with text_analytics_client: | ||
| result = await text_analytics_client.detect_language(documents) | ||
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| for idx, doc in enumerate(result): | ||
| if not doc.is_error: | ||
| print("Document text: {}".format(documents[idx])) | ||
| print("Language detected: {}".format(doc.primary_language.name)) | ||
| print("ISO6391 name: {}".format(doc.primary_language.iso6391_name)) | ||
| print("Confidence score: {}\n".format(doc.primary_language.score)) | ||
| if doc.is_error: | ||
| print(doc.id, doc.error) | ||
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| async def main(): | ||
| sample = AlternativeDocumentInputSampleAsync() | ||
| await sample.alternative_document_input() | ||
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| if __name__ == '__main__': | ||
| loop = asyncio.get_event_loop() | ||
| loop.run_until_complete(main()) |
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60 changes: 60 additions & 0 deletions
60
sdk/textanalytics/azure-ai-textanalytics/samples/sample_alternative_document_input.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| # coding: utf-8 | ||
|
|
||
| # ------------------------------------------------------------------------- | ||
| # Copyright (c) Microsoft Corporation. All rights reserved. | ||
| # Licensed under the MIT License. See License.txt in the project root for | ||
| # license information. | ||
| # -------------------------------------------------------------------------- | ||
|
|
||
| """ | ||
| FILE: sample_alternative_document_input.py | ||
| DESCRIPTION: | ||
| This sample shows an alternative way to pass in the input documents. | ||
| Here we specify our own IDs and the text language along with the text. | ||
| USAGE: | ||
| python sample_alternative_document_input.py | ||
| Set the environment variables with your own values before running the sample: | ||
| 1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your Cognitive Services resource. | ||
| 2) AZURE_TEXT_ANALYTICS_KEY - your Text Analytics subscription key | ||
| """ | ||
|
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| import os | ||
| import logging | ||
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| _LOGGER = logging.getLogger(__name__) | ||
|
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| class AlternativeDocumentInputSample(object): | ||
| endpoint = os.getenv("AZURE_TEXT_ANALYTICS_ENDPOINT") | ||
| key = os.getenv("AZURE_TEXT_ANALYTICS_KEY") | ||
|
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| def alternative_document_input(self): | ||
| from azure.ai.textanalytics import TextAnalyticsClient, TextAnalyticsApiKeyCredential | ||
| text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=TextAnalyticsApiKeyCredential(self.key)) | ||
|
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| documents = [ | ||
| {"id": "0", "language": "en", "text": "I had the best day of my life."}, | ||
| {"id": "1", "language": "en", | ||
| "text": "This was a waste of my time. The speaker put me to sleep."}, | ||
| {"id": "2", "language": "es", "text": "No tengo dinero ni nada que dar..."}, | ||
| {"id": "3", "language": "fr", | ||
| "text": "L'hôtel n'était pas très confortable. L'éclairage était trop sombre."} | ||
| ] | ||
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| result = text_analytics_client.detect_language(documents) | ||
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| for idx, doc in enumerate(result): | ||
| if not doc.is_error: | ||
| print("Document text: {}".format(documents[idx])) | ||
| print("Language detected: {}".format(doc.primary_language.name)) | ||
| print("ISO6391 name: {}".format(doc.primary_language.iso6391_name)) | ||
| print("Confidence score: {}\n".format(doc.primary_language.score)) | ||
| if doc.is_error: | ||
| print(doc.id, doc.error) | ||
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| if __name__ == '__main__': | ||
| sample = AlternativeDocumentInputSample() | ||
| sample.alternative_document_input() |
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