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Jul 10, 2023
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docs(samples): Add & update samples for STT v2 #10388

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docs(samples): Add & update samples for STT v2
nitsanshai Jul 7, 2023
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Update for nit comments
nitsanshai Jul 10, 2023
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38 changes: 20 additions & 18 deletions speech/snippets/adaptation_v2_custom_class_reference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,15 +13,15 @@
# limitations under the License.


# [START speech_adaptation_v2_custom_class_reference]
import argparse

# [START speech_adaptation_v2_custom_class_reference]
from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech


def adaptation_v2_custom_class_reference(
project_id: str,
recognizer_id: str,
phrase_set_id: str,
custom_class_id: str,
audio_file: str,
Expand All @@ -30,7 +30,6 @@ def adaptation_v2_custom_class_reference(

Args:
project_id: The GCP project ID.
recognizer_id: The ID of the recognizer to use.
phrase_set_id: The ID of the phrase set to use.
custom_class_id: The ID of the custom class to use.
audio_file: The audio file to transcribe.
Expand All @@ -41,18 +40,6 @@ def adaptation_v2_custom_class_reference(
# Instantiates a client
client = SpeechClient()

request = cloud_speech.CreateRecognizerRequest(
parent=f"projects/{project_id}/locations/global",
recognizer_id=recognizer_id,
recognizer=cloud_speech.Recognizer(
language_codes=["en-US"], model="latest_short"
),
)

# Creates a Recognizer
operation = client.create_recognizer(request=request)
recognizer = operation.result()

# Reads a file as bytes
with open(audio_file, "rb") as f:
content = f.read()
Expand Down Expand Up @@ -88,11 +75,16 @@ def adaptation_v2_custom_class_reference(
]
)
config = cloud_speech.RecognitionConfig(
auto_decoding_config={}, adaptation=adaptation
auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
adaptation=adaptation,
language_codes=["en-US"],
model="latest_short",
)

request = cloud_speech.RecognizeRequest(
recognizer=recognizer.name, config=config, content=content
recognizer=f"projects/{project_id}/locations/global/recognizers/_",
config=config,
content=content,
)

# Transcribes the audio into text
Expand All @@ -108,4 +100,14 @@ def adaptation_v2_custom_class_reference(


if __name__ == "__main__":
adaptation_v2_custom_class_reference()
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("project_id", help="GCP Project ID")
parser.add_argument("phrase_set_id", help="ID for the phrase set to create")
parser.add_argument("custom_class_id", help="ID for the custom class to create")
parser.add_argument("audio_file", help="Audio file to stream")
args = parser.parse_args()
adaptation_v2_custom_class_reference(
args.project_id, args.phrase_set_id, args.custom_class_id, args.audio_file
)
16 changes: 2 additions & 14 deletions speech/snippets/adaptation_v2_custom_class_reference_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,13 +22,7 @@

import adaptation_v2_custom_class_reference

RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


def delete_recognizer(name: str) -> None:
client = SpeechClient()
request = cloud_speech.DeleteRecognizerRequest(name=name)
client.delete_recognizer(request=request)
_RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


def delete_phrase_set(name: str) -> None:
Expand All @@ -47,16 +41,14 @@ def delete_custom_class(name: str) -> None:
def test_adaptation_v2_custom_class_reference() -> None:
project_id = os.getenv("GOOGLE_CLOUD_PROJECT")

recognizer_id = "recognizer-" + str(uuid4())
phrase_set_id = "phrase-set-" + str(uuid4())
custom_class_id = "custom-class-" + str(uuid4())
response = (
adaptation_v2_custom_class_reference.adaptation_v2_custom_class_reference(
project_id,
recognizer_id,
phrase_set_id,
custom_class_id,
os.path.join(RESOURCES, "fair.wav"),
os.path.join(_RESOURCES, "fair.wav"),
)
)

Expand All @@ -66,10 +58,6 @@ def test_adaptation_v2_custom_class_reference() -> None:
re.DOTALL | re.I,
)

delete_recognizer(
f"projects/{project_id}/locations/global/recognizers/{recognizer_id}"
)

delete_phrase_set(
f"projects/{project_id}/locations/global/phraseSets/{phrase_set_id}"
)
Expand Down
34 changes: 16 additions & 18 deletions speech/snippets/adaptation_v2_inline_custom_class.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,22 +13,21 @@
# limitations under the License.


# [START speech_adaptation_v2_inline_custom_class]
import argparse

# [START speech_adaptation_v2_inline_custom_class]
from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech


def adaptation_v2_inline_custom_class(
project_id: str,
recognizer_id: str,
audio_file: str,
) -> cloud_speech.RecognizeResponse:
"""Transcribe audio file using inline custom class

Args:
project_id: The GCP project ID.
recognizer_id: The ID of the recognizer.
audio_file: The audio file to transcribe.

Returns:
Expand All @@ -37,18 +36,6 @@ def adaptation_v2_inline_custom_class(
# Instantiates a client
client = SpeechClient()

request = cloud_speech.CreateRecognizerRequest(
parent=f"projects/{project_id}/locations/global",
recognizer_id=recognizer_id,
recognizer=cloud_speech.Recognizer(
language_codes=["en-US"], model="latest_short"
),
)

# Creates a Recognizer
operation = client.create_recognizer(request=request)
recognizer = operation.result()

# Reads a file as bytes
with open(audio_file, "rb") as f:
content = f.read()
Expand All @@ -65,11 +52,16 @@ def adaptation_v2_inline_custom_class(
custom_classes=[custom_class],
)
config = cloud_speech.RecognitionConfig(
auto_decoding_config={}, adaptation=adaptation
auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
adaptation=adaptation,
language_codes=["en-US"],
model="latest_short",
)

request = cloud_speech.RecognizeRequest(
recognizer=recognizer.name, config=config, content=content
recognizer=f"projects/{project_id}/locations/global/recognizers/_",
config=config,
content=content,
)

# Transcribes the audio into text
Expand All @@ -85,4 +77,10 @@ def adaptation_v2_inline_custom_class(


if __name__ == "__main__":
adaptation_v2_inline_custom_class()
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("project_id", help="GCP Project ID")
parser.add_argument("audio_file", help="Audio file to stream")
args = parser.parse_args()
adaptation_v2_inline_custom_class(args.project_id, args.audio_file)
18 changes: 2 additions & 16 deletions speech/snippets/adaptation_v2_inline_custom_class_test.py
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Expand Up @@ -14,38 +14,24 @@

import os
import re
from uuid import uuid4

from google.api_core.retry import Retry
from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech

import adaptation_v2_inline_custom_class

RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


def delete_recognizer(name: str) -> None:
client = SpeechClient()
request = cloud_speech.DeleteRecognizerRequest(name=name)
client.delete_recognizer(request=request)
_RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


@Retry()
def test_adaptation_v2_inline_custom_class() -> None:
project_id = os.getenv("GOOGLE_CLOUD_PROJECT")

recognizer_id = "recognizer-" + str(uuid4())
response = adaptation_v2_inline_custom_class.adaptation_v2_inline_custom_class(
project_id, recognizer_id, os.path.join(RESOURCES, "fair.wav")
project_id, os.path.join(_RESOURCES, "fair.wav")
)

assert re.search(
r"the word",
response.results[0].alternatives[0].transcript,
re.DOTALL | re.I,
)

delete_recognizer(
f"projects/{project_id}/locations/global/recognizers/{recognizer_id}"
)
36 changes: 19 additions & 17 deletions speech/snippets/adaptation_v2_inline_phrase_set.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,32 +13,20 @@
# limitations under the License.


# [START speech_adaptation_v2_inline_phrase_set]
import argparse

# [START speech_adaptation_v2_inline_phrase_set]
from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech


def adaptation_v2_inline_phrase_set(
project_id: str,
recognizer_id: str,
audio_file: str,
) -> cloud_speech.RecognizeResponse:
# Instantiates a client
client = SpeechClient()

request = cloud_speech.CreateRecognizerRequest(
parent=f"projects/{project_id}/locations/global",
recognizer_id=recognizer_id,
recognizer=cloud_speech.Recognizer(
language_codes=["en-US"], model="latest_short"
),
)

# Creates a Recognizer
operation = client.create_recognizer(request=request)
recognizer = operation.result()

# Reads a file as bytes
with open(audio_file, "rb") as f:
content = f.read()
Expand All @@ -53,11 +41,16 @@ def adaptation_v2_inline_phrase_set(
]
)
config = cloud_speech.RecognitionConfig(
auto_decoding_config={}, adaptation=adaptation
auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
adaptation=adaptation,
language_codes=["en-US"],
model="latest_short",
)

request = cloud_speech.RecognizeRequest(
recognizer=recognizer.name, config=config, content=content
recognizer=f"projects/{project_id}/locations/global/recognizers/_",
config=config,
content=content,
)

# Transcribes the audio into text
Expand All @@ -73,4 +66,13 @@ def adaptation_v2_inline_phrase_set(


if __name__ == "__main__":
adaptation_v2_inline_phrase_set()
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("project_id", help="GCP Project ID")
parser.add_argument("audio_file", help="Audio file to stream")
args = parser.parse_args()
adaptation_v2_inline_phrase_set(
args.project_id,
args.audio_file,
)
18 changes: 2 additions & 16 deletions speech/snippets/adaptation_v2_inline_phrase_set_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,38 +14,24 @@

import os
import re
from uuid import uuid4

from google.api_core.retry import Retry
from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech

import adaptation_v2_inline_phrase_set

RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


def delete_recognizer(name: str) -> None:
client = SpeechClient()
request = cloud_speech.DeleteRecognizerRequest(name=name)
client.delete_recognizer(request=request)
_RESOURCES = os.path.join(os.path.dirname(__file__), "resources")


@Retry()
def test_adaptation_v2_inline_phrase_set() -> None:
project_id = os.getenv("GOOGLE_CLOUD_PROJECT")

recognizer_id = "recognizer-" + str(uuid4())
response = adaptation_v2_inline_phrase_set.adaptation_v2_inline_phrase_set(
project_id, recognizer_id, os.path.join(RESOURCES, "fair.wav")
project_id, os.path.join(_RESOURCES, "fair.wav")
)

assert re.search(
r"the word is fare",
response.results[0].alternatives[0].transcript,
re.DOTALL | re.I,
)

delete_recognizer(
f"projects/{project_id}/locations/global/recognizers/{recognizer_id}"
)
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