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…loudPlatform/python-docs-samples#1436) * enhanced model and recognition metadata * flake, update tests * readme * client library version update
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packages/google-cloud-python-speech/samples/snippets/beta_snippets.py
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#!/usr/bin/env python | ||
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# Copyright 2018 Google Inc. All Rights Reserved. | ||
# | ||
# 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. | ||
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"""Google Cloud Speech API sample that demonstrates enhanced models | ||
and recognition metadata. | ||
Example usage: | ||
python beta_snippets.py enhanced-model resources/commercial_mono.wav | ||
python beta_snippets.py metadata resources/commercial_mono.wav | ||
""" | ||
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import argparse | ||
import io | ||
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from google.cloud import speech_v1p1beta1 as speech | ||
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# [START speech_transcribe_file_with_enhanced_model] | ||
def transcribe_file_with_enhanced_model(path): | ||
"""Transcribe the given audio file using an enhanced model.""" | ||
client = speech.SpeechClient() | ||
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with io.open(path, 'rb') as audio_file: | ||
content = audio_file.read() | ||
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audio = speech.types.RecognitionAudio(content=content) | ||
config = speech.types.RecognitionConfig( | ||
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16, | ||
sample_rate_hertz=8000, | ||
language_code='en-US', | ||
# Enhanced models are only available to projects that | ||
# opt in for audio data collection. | ||
use_enhanced=True, | ||
# A model must be specified to use enhanced model. | ||
model='phone_call') | ||
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response = client.recognize(config, audio) | ||
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for i, result in enumerate(response.results): | ||
alternative = result.alternatives[0] | ||
print('-' * 20) | ||
print('First alternative of result {}'.format(i)) | ||
print('Transcript: {}'.format(alternative.transcript)) | ||
# [END speech_transcribe_file_with_enhanced_model] | ||
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# [START speech_transcribe_file_with_metadata] | ||
def transcribe_file_with_metadata(path): | ||
"""Send a request that includes recognition metadata.""" | ||
client = speech.SpeechClient() | ||
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with io.open(path, 'rb') as audio_file: | ||
content = audio_file.read() | ||
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# Here we construct a recognition metadata object. | ||
# Most metadata fields are specified as enums that can be found | ||
# in speech.enums.RecognitionMetadata | ||
metadata = speech.types.RecognitionMetadata() | ||
metadata.interaction_type = ( | ||
speech.enums.RecognitionMetadata.InteractionType.DISCUSSION) | ||
metadata.microphone_distance = ( | ||
speech.enums.RecognitionMetadata.MicrophoneDistance.NEARFIELD) | ||
metadata.recording_device_type = ( | ||
speech.enums.RecognitionMetadata.RecordingDeviceType.SMARTPHONE) | ||
# Some metadata fields are free form strings | ||
metadata.recording_device_name = "Pixel 2 XL" | ||
# And some are integers, for instance the 6 digit NAICS code | ||
# https://www.naics.com/search/ | ||
metadata.industry_naics_code_of_audio = 519190 | ||
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audio = speech.types.RecognitionAudio(content=content) | ||
config = speech.types.RecognitionConfig( | ||
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16, | ||
sample_rate_hertz=8000, | ||
language_code='en-US', | ||
# Add this in the request to send metadata. | ||
metadata=metadata) | ||
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response = client.recognize(config, audio) | ||
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for i, result in enumerate(response.results): | ||
alternative = result.alternatives[0] | ||
print('-' * 20) | ||
print('First alternative of result {}'.format(i)) | ||
print('Transcript: {}'.format(alternative.transcript)) | ||
# [END speech_transcribe_file_with_metadata] | ||
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if __name__ == '__main__': | ||
parser = argparse.ArgumentParser( | ||
description=__doc__, | ||
formatter_class=argparse.RawDescriptionHelpFormatter) | ||
parser.add_argument('command') | ||
parser.add_argument( | ||
'path', help='File for audio file to be recognized') | ||
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args = parser.parse_args() | ||
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if args.command == 'enhanced-model': | ||
transcribe_file_with_enhanced_model(args.path) | ||
elif args.command == 'metadata': | ||
transcribe_file_with_metadata(args.path) |
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packages/google-cloud-python-speech/samples/snippets/beta_snippets_test.py
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# Copyright 2018, Google, Inc. | ||
# 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. | ||
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import os | ||
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from beta_snippets import ( | ||
transcribe_file_with_enhanced_model, transcribe_file_with_metadata) | ||
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RESOURCES = os.path.join(os.path.dirname(__file__), 'resources') | ||
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def test_transcribe_file_with_enhanced_model(capsys): | ||
transcribe_file_with_enhanced_model( | ||
os.path.join(RESOURCES, 'commercial_mono.wav')) | ||
out, _ = capsys.readouterr() | ||
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assert 'Chrome' in out | ||
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def test_transcribe_file_with_metadata(capsys): | ||
transcribe_file_with_metadata( | ||
os.path.join(RESOURCES, 'commercial_mono.wav')) | ||
out, _ = capsys.readouterr() | ||
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assert 'Chrome' in out |
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packages/google-cloud-python-speech/samples/snippets/requirements.txt
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google-cloud-speech==0.32.1 | ||
google-cloud-speech==0.33.0 |
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