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samples: adds speech export to gcs sample (#176)
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packages/google-cloud-python-speech/samples/snippets/requirements.txt
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| google-cloud-speech==2.4.0 | ||
| google-cloud-storage==1.38.0 |
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packages/google-cloud-python-speech/samples/snippets/speech_to_storage_beta.py
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| # Copyright 2021 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 | ||
| # | ||
| # 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. | ||
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| # [START speech_transcribe_with_speech_to_storage_beta] | ||
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| from google.cloud import speech_v1p1beta1 as speech | ||
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| def export_transcript_to_storage_beta( | ||
| input_storage_uri, output_storage_uri, encoding, sample_rate_hertz, language_code | ||
| ): | ||
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| # input_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE] | ||
| audio = speech.RecognitionAudio(uri=input_storage_uri) | ||
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| # Pass in the URI of the Cloud Storage bucket to hold the transcription | ||
| output_config = speech.TranscriptOutputConfig(gcs_uri=output_storage_uri) | ||
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| # Speech configuration object | ||
| config = speech.RecognitionConfig( | ||
| encoding=encoding, | ||
| sample_rate_hertz=sample_rate_hertz, | ||
| language_code=language_code, | ||
| ) | ||
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| # Compose the long-running request | ||
| request = speech.LongRunningRecognizeRequest( | ||
| audio=audio, config=config, output_config=output_config | ||
| ) | ||
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| # Create the speech client | ||
| speech_client = speech.SpeechClient() | ||
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| operation = speech_client.long_running_recognize(request=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("Transcript: {}".format(result.alternatives[0].transcript)) | ||
| print("Confidence: {}".format(result.alternatives[0].confidence)) | ||
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| # [END speech_transcribe_with_speech_to_storage_beta] | ||
| return response.results[0].alternatives[0].transcript |
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packages/google-cloud-python-speech/samples/snippets/speech_to_storage_beta_test.py
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| # Copyright 2021 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 | ||
| # | ||
| # 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. | ||
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| import uuid | ||
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| from google.cloud import speech_v1p1beta1 as speech | ||
| from google.cloud import storage | ||
| import pytest | ||
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| import speech_to_storage_beta | ||
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| STORAGE_URI = "gs://cloud-samples-data/speech/brooklyn_bridge.raw" | ||
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| storage_client = storage.Client() | ||
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| BUCKET_UUID = str(uuid.uuid4())[:8] | ||
| BUCKET_NAME = f"speech-{BUCKET_UUID}" | ||
| BUCKET_PREFIX = "export-transcript-output-test" | ||
| DELIMETER = None | ||
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| INPUT_STORAGE_URI = "gs://cloud-samples-data/speech/commercial_mono.wav" | ||
| OUTPUT_STORAGE_URI = f"gs://{BUCKET_NAME}/{BUCKET_PREFIX}" | ||
| encoding = speech.RecognitionConfig.AudioEncoding.LINEAR16 | ||
| sample_rate_hertz = 8000 | ||
| language_code = "en-US" | ||
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| def test_export_transcript_to_storage_beta(bucket, capsys): | ||
| transcript = speech_to_storage_beta.export_transcript_to_storage_beta( | ||
| INPUT_STORAGE_URI, | ||
| OUTPUT_STORAGE_URI, | ||
| encoding, | ||
| sample_rate_hertz, | ||
| language_code, | ||
| ) | ||
| assert "I'm here" in transcript | ||
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| @pytest.fixture | ||
| def bucket(): | ||
| """Yields a bucket that is deleted after the test completes.""" | ||
| bucket = None | ||
| while bucket is None or bucket.exists(): | ||
| bucket = storage_client.bucket(BUCKET_NAME) | ||
| bucket.storage_class = "COLDLINE" | ||
| storage_client.create_bucket(bucket, location="us") | ||
| yield bucket | ||
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| blobs = storage_client.list_blobs(BUCKET_NAME, prefix=BUCKET_PREFIX) | ||
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| for blob in blobs: | ||
| blob.delete() | ||
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| bucket.delete(force=True) |