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# 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

# https://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.

""" Google Cloud Speech API sample application using the REST API for batch

processing.

"""

# [START speech_recognize_with_profanity_filter_gcs]

from google.cloud import speech

from google.cloud.speech import RecognizeResponse

def sync_recognize_with_profanity_filter_gcs(audio_uri: str) -> RecognizeResponse:

"""Recognizes speech from an audio file in Cloud Storage and filters out profane language.

Args:

audio_uri (str): The Cloud Storage URI of the input audio, e.g., gs://[BUCKET]/[FILE]

Returns:

cloud_speech.RecognizeResponse: The full response object which includes the transcription results.

"""

# Define the audio source

audio = {"uri": audio_uri}

client = speech.SpeechClient()

config = speech.RecognitionConfig(

encoding=speech.RecognitionConfig.AudioEncoding.FLAC, # Audio format

sample_rate_hertz=16000,

language_code="en-US",

# Enable profanity filter

profanity_filter=True,

)

response = client.recognize(config=config, audio=audio)

for result in response.results:

alternative = result.alternatives[0]

print(f"Transcript: {alternative.transcript}")

return response.results

# [END speech_recognize_with_profanity_filter_gcs]

if __name__ == "__main__":

audio_uri = "gs://cloud-samples-tests/speech/brooklyn.flac"

sync_recognize_with_profanity_filter_gcs(audio_uri)

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