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# Copyright 2020 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.

# DO NOT EDIT! This is a generated sample ("Request", "speech_quickstart_beta")

# To install the latest published package dependency, execute the following:

# pip install google-cloud-speech

# sample-metadata

# title: Quickstart Beta

# description: Performs synchronous speech recognition on an audio file

# usage: python3 samples/v1p1beta1/speech_quickstart_beta.py [--storage_uri "gs://cloud-samples-data/speech/brooklyn_bridge.mp3"]

# [START speech_quickstart_beta]

from google.cloud import speech_v1p1beta1 as speech

def sample_recognize(storage_uri: str) -> speech.RecognizeResponse:

"""

Performs synchronous speech recognition on an audio file

Args:

storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]

"""

client = speech.SpeechClient()

# storage_uri = 'gs://cloud-samples-data/speech/brooklyn_bridge.mp3'

# The language of the supplied audio

language_code = "en-US"

# Sample rate in Hertz of the audio data sent

sample_rate_hertz = 44100

# Encoding of audio data sent. This sample sets this explicitly.

# This field is optional for FLAC and WAV audio formats.

encoding = speech.RecognitionConfig.AudioEncoding.MP3

config = {

"language_code": language_code,

"sample_rate_hertz": sample_rate_hertz,

"encoding": encoding,

}

audio = {"uri": storage_uri}

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

for result in response.results:

# First alternative is the most probable result

alternative = result.alternatives[0]

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

# [END speech_quickstart_beta]

return response

def main() -> None:

import argparse

parser = argparse.ArgumentParser()

parser.add_argument(

"--storage_uri",

type=str,

default="gs://cloud-samples-data/speech/brooklyn_bridge.mp3",

)

args = parser.parse_args()

sample_recognize(args.storage_uri)

if __name__ == "__main__":

main()