1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_model_version.py
DESCRIPTION:
This sample demonstrates how to set the model_version for pre-built Text Analytics models.
Recognize entities is used in this sample, but the concept applies generally to all pre-built Text Analytics models.
By default, model_version is set to "latest". This indicates that the latest generally available version
of the model will be used. Model versions are date based, e.g "2021-06-01".
See the documentation for a list of all model versions:
https://aka.ms/text-analytics-model-versioning
USAGE:
python sample_model_version.py
Set the environment variables with your own values before running the sample:
1) AZURE_LANGUAGE_ENDPOINT - the endpoint to your Language resource.
2) AZURE_LANGUAGE_KEY - your Language subscription key
"""
def sample_model_version() -> None:
print("--------------Choosing model_version sample--------------")
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient, RecognizeEntitiesAction
endpoint = os.environ["AZURE_LANGUAGE_ENDPOINT"]
key = os.environ["AZURE_LANGUAGE_KEY"]
text_analytics_client = TextAnalyticsClient(endpoint=endpoint, credential=AzureKeyCredential(key))
documents = [
"I work for Foo Company, and we hired Contoso for our annual founding ceremony. The food \
was amazing and we all can't say enough good words about the quality and the level of service."
]
print("\nSetting model_version='latest' with recognize_entities")
result = text_analytics_client.recognize_entities(documents, model_version="latest")
result = [review for review in result if not review.is_error]
print("...Results of Recognize Entities:")
for review in result:
for entity in review.entities:
print(f"......Entity '{entity.text}' has category '{entity.category}'")
print("\nSetting model_version='latest' with recognize entities action in begin_analyze_actions")
poller = text_analytics_client.begin_analyze_actions(
documents,
actions=[
RecognizeEntitiesAction(model_version="latest")
]
)
print("...Results of Recognize Entities Action:")
document_results = poller.result()
for action_results in document_results:
action_result = action_results[0]
if action_result.kind == "EntityRecognition":
for entity in action_result.entities:
print(f"......Entity '{entity.text}' has category '{entity.category}'")
elif action_result.is_error is True:
print("......Is an error with code '{}' and message '{}'".format(
action_result.error.code, action_result.error.message
))
if __name__ == '__main__':
sample_model_version()
|
