Add generated code samples. (GoogleCloudPlatform#9153)

Author: Rebecca Taylor

speech/resources/brooklyn_bridge.flac

@@ -0,0 +1,90 @@
+# -*- coding: utf-8 -*-
+#
+# Copyright 2019 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 ("LongRunningPromise",  "speech_transcribe_async")
+
+# To install the latest published package dependency, execute the following:
+#   pip install google-cloud-speech
+
+# sample-metadata
+#   title: Transcribe Audio File using Long Running Operation (Local File) (LRO)
+#   description: Transcribe a long audio file using asynchronous speech recognition
+#   usage: python3 samples/v1/speech_transcribe_async.py [--local_file_path "resources/brooklyn_bridge.raw"]
+
+# [START speech_transcribe_async]
+from google.cloud import speech_v1
+from google.cloud.speech_v1 import enums
+import io
+
+
+def sample_long_running_recognize(local_file_path):
+    """
+    Transcribe a long audio file using asynchronous speech recognition
+
+    Args:
+      local_file_path Path to local audio file, e.g. /path/audio.wav
+    """
+
+    client = speech_v1.SpeechClient()
+
+    # local_file_path = 'resources/brooklyn_bridge.raw'
+
+    # The language of the supplied audio
+    language_code = "en-US"
+
+    # Sample rate in Hertz of the audio data sent
+    sample_rate_hertz = 16000
+
+    # Encoding of audio data sent. This sample sets this explicitly.
+    # This field is optional for FLAC and WAV audio formats.
+    encoding = enums.RecognitionConfig.AudioEncoding.LINEAR16
+    config = {
+        "language_code": language_code,
+        "sample_rate_hertz": sample_rate_hertz,
+        "encoding": encoding,
+    }
+    with io.open(local_file_path, "rb") as f:
+        content = f.read()
+    audio = {"content": content}
+
+    operation = client.long_running_recognize(config, audio)
+
+    print(u"Waiting for operation to complete...")
+    response = operation.result()
+
+    for result in response.results:
+        # First alternative is the most probable result
+        alternative = result.alternatives[0]
+        print(u"Transcript: {}".format(alternative.transcript))
+
+
+# [END speech_transcribe_async]
+
+
+def main():
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--local_file_path", type=str, default="resources/brooklyn_bridge.raw"
+    )
+    args = parser.parse_args()
+
+    sample_long_running_recognize(args.local_file_path)
+
+
+if __name__ == "__main__":
+    main()