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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_chat.py
DESCRIPTION:
This sample demonstrates how to ask a follow-up question (chit-chat) from a knowledge base.
USAGE:
python sample_chat.py
Set the environment variables with your own values before running the sample:
1) AZURE_QUESTIONANSWERING_ENDPOINT - the endpoint to your QuestionAnswering resource.
2) AZURE_QUESTIONANSWERING_KEY - your QuestionAnswering API key.
3) AZURE_QUESTIONANSWERING_PROJECT - the name of a knowledge base project.
"""
def sample_chit_chat():
# [START chit_chat]
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.questionanswering import QuestionAnsweringClient
from azure.ai.language.questionanswering import models as qna
endpoint = os.environ["AZURE_QUESTIONANSWERING_ENDPOINT"]
key = os.environ["AZURE_QUESTIONANSWERING_KEY"]
knowledge_base_project = os.environ["AZURE_QUESTIONANSWERING_PROJECT"]
client = QuestionAnsweringClient(endpoint, AzureKeyCredential(key))
with client:
first_question="How long should my Surface battery last?"
output = client.get_answers(
question=first_question,
top=3,
confidence_threshold=0.2,
include_unstructured_sources=True,
short_answer_options=qna.ShortAnswerOptions(
confidence_threshold=0.2,
top=1
),
project_name=knowledge_base_project,
deployment_name="test"
)
if output.answers:
best_candidate = [a for a in output.answers if a.confidence and a.confidence > 0.7][0]
print(u"Q: {}".format(first_question))
print(u"A: {}".format(best_candidate.answer))
else:
print(f"No answers returned from question '{first_question}'")
return
if best_candidate.qna_id:
followup_question = "How long it takes to charge Surface?"
output = client.get_answers(
question=followup_question,
top=3,
confidence_threshold=0.2,
answer_context=qna.KnowledgeBaseAnswerContext(
previous_question=first_question,
previous_qna_id=best_candidate.qna_id
),
short_answer_options=qna.ShortAnswerOptions(
confidence_threshold=0.2,
top=1
),
include_unstructured_sources=True,
project_name=knowledge_base_project,
deployment_name="test"
)
if output.answers:
print(u"Q: {}".format(followup_question))
print(u"A: {}".format(output.answers[0].answer))
else:
print(f"No answers returned from question '{followup_question}'")
# [END chit_chat]
if __name__ == '__main__':
sample_chit_chat()
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