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
|
# 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_transcribe_from_url.py
DESCRIPTION:
This sample demonstrates how to transcribe audio from a publicly accessible URL
using the Azure AI Transcription client.
USAGE:
python sample_transcribe_from_url.py
Set the environment variables with your own values before running the sample:
1) AZURE_SPEECH_ENDPOINT - the endpoint to your Speech resource.
2) AZURE_SPEECH_API_KEY - your Speech API key.
"""
import os
def sample_transcribe_from_url():
# [START transcribe_from_url]
from azure.core.credentials import AzureKeyCredential
from azure.ai.transcription import TranscriptionClient
from azure.ai.transcription.models import TranscriptionOptions
# Get configuration from environment variables
endpoint = os.environ["AZURE_SPEECH_ENDPOINT"]
api_key = os.environ["AZURE_SPEECH_API_KEY"]
# Create the transcription client
client = TranscriptionClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
# URL to your audio file (must be publicly accessible)
audio_url = "https://example.com/path/to/audio.wav"
# Configure transcription options
options = TranscriptionOptions(locales=["en-US"])
# Transcribe the audio from URL
# The service will access and transcribe the audio directly from the URL
result = client.transcribe_from_url(audio_url, options=options)
# Print the transcription result
print(f"Transcription: {result.combined_phrases[0].text}")
# Print duration information
if result.duration_milliseconds:
print(f"Audio duration: {result.duration_milliseconds / 1000:.2f} seconds")
# [END transcribe_from_url]
if __name__ == "__main__":
sample_transcribe_from_url()
|
