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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_extract_key_phrases_async.py
DESCRIPTION:
This sample demonstrates how to run **key phrase extraction** over text (async).
USAGE:
python sample_extract_key_phrases_async.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_TEXT_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_TEXT_ENDPOINT
- AZURE_TEXT_KEY
"""
# [START extract_key_phrases_async]
import os
import asyncio
from azure.identity.aio import DefaultAzureCredential
from azure.ai.textanalytics.aio import TextAnalysisClient
from azure.ai.textanalytics.models import (
MultiLanguageTextInput,
MultiLanguageInput,
TextKeyPhraseExtractionInput,
KeyPhraseActionContent,
AnalyzeTextKeyPhraseResult,
)
async def sample_extract_key_phrases_async():
# get settings
endpoint = os.environ["AZURE_TEXT_ENDPOINT"]
credential = DefaultAzureCredential()
async with TextAnalysisClient(endpoint, credential=credential) as client:
# Build input
text_a = (
"We love this trail and make the trip every year. The views are breathtaking and well worth the hike! "
"Yesterday was foggy though, so we missed the spectacular views. We tried again today and it was "
"amazing. Everyone in my family liked the trail although it was too challenging for the less "
"athletic among us. Not necessarily recommended for small children. A hotel close to the trail "
"offers services for childcare in case you want that."
)
body = TextKeyPhraseExtractionInput(
text_input=MultiLanguageTextInput(
multi_language_inputs=[MultiLanguageInput(id="A", text=text_a, language="en")]
),
action_content=KeyPhraseActionContent(model_version="latest"),
)
result = await client.analyze_text(body=body)
# Validate and print results
if not isinstance(result, AnalyzeTextKeyPhraseResult):
print("Unexpected result type.")
return
if result.results is None:
print("No results returned.")
return
if result.results.documents is None or len(result.results.documents) == 0:
print("No documents in the response.")
return
for doc in result.results.documents:
print(f"\nDocument ID: {doc.id}")
if doc.key_phrases:
print("Key Phrases:")
for phrase in doc.key_phrases:
print(f" - {phrase}")
else:
print("No key phrases found for this document.")
# [END extract_key_phrases_async]
async def main():
await sample_extract_key_phrases_async()
if __name__ == "__main__":
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
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