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transcribe_diarization_gcs_beta.py
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transcribe_diarization_gcs_beta.py
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# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# [START speech_transcribe_diarization_gcs_beta]
from google.cloud import speech
def transcribe_diarization_gcs_beta(gcs_uri: str) -> bool:
"""Transcribe a remote audio file (stored in Google Cloud Storage) using speaker diarization.
Args:
gcs_uri: The Google Cloud Storage path to an audio file.
Returns:
True if the operation successfully completed, False otherwise.
"""
client = speech.SpeechClient()
speaker_diarization_config = speech.SpeakerDiarizationConfig(
enable_speaker_diarization=True,
min_speaker_count=2,
max_speaker_count=2,
)
# Configure request to enable Speaker diarization
recognition_config = speech.RecognitionConfig(
encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
language_code="en-US",
sample_rate_hertz=8000,
diarization_config=speaker_diarization_config,
)
# Set the remote path for the audio file
audio = speech.RecognitionAudio(
uri=gcs_uri,
)
# Use non-blocking call for getting file transcription
response = client.long_running_recognize(
config=recognition_config, audio=audio
).result(timeout=300)
# The transcript within each result is separate and sequential per result.
# However, the words list within an alternative includes all the words
# from all the results thus far. Thus, to get all the words with speaker
# tags, you only have to take the words list from the last result
result = response.results[-1]
words_info = result.alternatives[0].words
# Print the output
for word_info in words_info:
print(f"word: '{word_info.word}', speaker_tag: {word_info.speaker_tag}")
return True
# [END speech_transcribe_diarization_gcs_beta]