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docs(samples): remove io dependency in transcribe samples (#223)
* refactor: Refactor transcribe samples into two separate samples (local-file vs gcs) and remove io dependency. Refactor tests. * Removing CLI in samples and shebangs * leaving transcribe_async.py in (to be removed later), because speech_transcribe_async_gcs is a required tag. * Update year in license headers Co-authored-by: Nick Cain <nicholascain@google.com>
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# Copyright 2021 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-to-Text sample application using gRPC for async | ||
batch processing. | ||
""" | ||
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# [START speech_transcribe_async] | ||
def transcribe_file(speech_file): | ||
"""Transcribe the given audio file asynchronously.""" | ||
from google.cloud import speech | ||
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client = speech.SpeechClient() | ||
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# [START speech_python_migration_async_request] | ||
with open(speech_file, "rb") as audio_file: | ||
content = audio_file.read() | ||
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""" | ||
Note that transcription is limited to a 60 seconds audio file. | ||
Use a GCS file for audio longer than 1 minute. | ||
""" | ||
audio = speech.RecognitionAudio(content=content) | ||
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config = speech.RecognitionConfig( | ||
encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16, | ||
sample_rate_hertz=16000, | ||
language_code="en-US", | ||
) | ||
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# [START speech_python_migration_async_response] | ||
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operation = client.long_running_recognize(config=config, audio=audio) | ||
# [END speech_python_migration_async_request] | ||
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print("Waiting for operation to complete...") | ||
response = operation.result(timeout=90) | ||
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# Each result is for a consecutive portion of the audio. Iterate through | ||
# them to get the transcripts for the entire audio file. | ||
for result in response.results: | ||
# The first alternative is the most likely one for this portion. | ||
print(u"Transcript: {}".format(result.alternatives[0].transcript)) | ||
print("Confidence: {}".format(result.alternatives[0].confidence)) | ||
# [END speech_python_migration_async_response] | ||
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# [END speech_transcribe_async] |
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# Copyright 2021, 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 | ||
import re | ||
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import transcribe_async_file | ||
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RESOURCES = os.path.join(os.path.dirname(__file__), "resources") | ||
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def test_transcribe(capsys): | ||
transcribe_async_file.transcribe_file(os.path.join(RESOURCES, "audio.raw")) | ||
out, err = capsys.readouterr() | ||
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assert re.search(r"how old is the Brooklyn Bridge", out, re.DOTALL | re.I) |
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# Copyright 2021 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-to-Text sample application using the gRPC for async | ||
batch processing. | ||
""" | ||
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# [START speech_transcribe_async_gcs] | ||
def transcribe_gcs(gcs_uri): | ||
"""Asynchronously transcribes the audio file specified by the gcs_uri.""" | ||
from google.cloud import speech | ||
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client = speech.SpeechClient() | ||
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audio = speech.RecognitionAudio(uri=gcs_uri) | ||
config = speech.RecognitionConfig( | ||
encoding=speech.RecognitionConfig.AudioEncoding.FLAC, | ||
sample_rate_hertz=16000, | ||
language_code="en-US", | ||
) | ||
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operation = client.long_running_recognize(config=config, audio=audio) | ||
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print("Waiting for operation to complete...") | ||
response = operation.result(timeout=90) | ||
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# Each result is for a consecutive portion of the audio. Iterate through | ||
# them to get the transcripts for the entire audio file. | ||
for result in response.results: | ||
# The first alternative is the most likely one for this portion. | ||
print(u"Transcript: {}".format(result.alternatives[0].transcript)) | ||
print("Confidence: {}".format(result.alternatives[0].confidence)) | ||
# [END speech_transcribe_async_gcs] |
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