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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.
# --------------------------------------------------------------------------
"""
FILE: sample_text_translation_break_sentence.py
DESCRIPTION:
This file contains sample snippets for the Text Translation service.
USAGE:
python sample_text_translation_break_sentence.py
Set the text translation endpoint environment variables with your own value before running the samples:
1) AZURE_TEXT_TRANSLATION_ENDPOINT - the endpoint to your Text Translation resource.
Note: the endpoint must be formatted to use the custom domain name for your resource:
https:\\<NAME-OF-YOUR-RESOURCE>.cognitiveservices.azure.com\
The create_text_translation_client_with_credential call requires additional variables:
2) AZURE_TEXT_TRANSLATION_APIKEY - the API key to your Text Translation resource.
3) AZURE_TEXT_TRANSLATION_REGION - the Azure Region of your Text Translation resource.
"""
from azure.core.exceptions import HttpResponseError
# -------------------------------------------------------------------------
# Text translation client
# -------------------------------------------------------------------------
import sample_text_translation_client
text_translator = sample_text_translation_client.create_text_translation_client_with_credential()
def get_text_sentence_boundaries():
# [START get_text_sentence_boundaries]
try:
from_language = "zh-Hans"
source_script = "Latn"
input_text_elements = ["zhè shì gè cè shì。"]
response = text_translator.find_sentence_boundaries(
body=input_text_elements, language=from_language, script=source_script
)
sentence_boundaries = response[0] if response else None
if sentence_boundaries:
detected_language = sentence_boundaries.detected_language
if detected_language:
print(
f"Detected languages of the input text: {detected_language.language} with score: {detected_language.score}."
)
print(f"The detected sentence boundaries:")
for boundary in sentence_boundaries.sent_len:
print(boundary)
except HttpResponseError as exception:
if exception.error is not None:
print(f"Error Code: {exception.error.code}")
print(f"Message: {exception.error.message}")
raise
# [END get_text_sentence_boundaries]
def get_text_sentence_boundaries_auto():
# [START get_text_sentence_boundaries_auto]
try:
input_text_elements = ["This is a test. This is the second sentence."]
response = text_translator.find_sentence_boundaries(body=input_text_elements)
sentence_boundaries = response[0] if response else None
if sentence_boundaries:
detected_language = sentence_boundaries.detected_language
if detected_language:
print(
f"Detected languages of the input text: {detected_language.language} with score: {detected_language.score}."
)
print(f"The detected sentence boundaries:")
for boundary in sentence_boundaries.sent_len:
print(boundary)
except HttpResponseError as exception:
if exception.error is not None:
print(f"Error Code: {exception.error.code}")
print(f"Message: {exception.error.message}")
# [END get_text_sentence_boundaries_auto]
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