def main():
args = BaseRecognitionParser().parse_args()
if args.encoding == stt_pb2.RAW_OPUS:
raise ValueError("RAW_OPUS encoding is not supported by this script")
with audio_open_read(args.audio_file, args.encoding, args.rate,
args.num_channels, args.chunk_size,
args.pyaudio_max_seconds) as reader:
metadata = authorization_metadata(args.api_key,
args.secret_key,
"tinkoff.cloud.stt",
type=dict)
request = build_recognition_request(args, reader, type="json")
response = requests.post("http{}://{}/v1/stt:recognize".format(
"s" if args.endpoint.endswith("443") else "", args.endpoint),
json=request,
headers=metadata)
if response.status_code != 200:
print(
"REST failed with HTTP code {}\nHeaders: {}\nBody: {}".format(
response.status_code, response.headers, response.text))
return
response = response.json()
print_recognition_response(response)
def main():
args = StreamingRecognitionParser().parse_args()
with audio_open_read(args.audio_file, args.encoding, args.rate, args.num_channels, args.chunk_size,
args.pyaudio_max_seconds) as reader:
stub = stt_pb2_grpc.SpeechToTextStub(make_channel(args))
metadata = authorization_metadata(args.api_key, args.secret_key, "tinkoff.cloud.stt")
responses = stub.StreamingRecognize(stt_generate_requests(args, reader), metadata=metadata)
print_streaming_recognition_responses(responses)
def main():
args = BaseRecognitionParser().parse_args()
if args.encoding == stt_pb2.RAW_OPUS:
raise ValueError("RAW_OPUS encoding is not supported by this script")
with audio_open_read(args.audio_file, args.encoding, args.rate,
args.num_channels, args.chunk_size,
args.pyaudio_max_seconds) as reader:
stub = stt_pb2_grpc.SpeechToTextStub(make_channel(args))
metadata = authorization_metadata(args.api_key, args.secret_key,
"tinkoff.cloud.stt")
response = stub.Recognize(build_recognition_request(args, reader),
metadata=metadata)
print_recognition_response(response)
def main():
args = BaseRecognitionParser().parse_args()
total = ''
if args.encoding == stt_pb2.RAW_OPUS:
raise ValueError("RAW_OPUS encoding is not supported by this script")
with audio_open_read(args.audio_file, args.encoding, args.rate,
args.num_channels, args.chunk_size,
args.pyaudio_max_seconds) as reader:
stub = stt_pb2_grpc.SpeechToTextStub(make_channel(args))
metadata = authorization_metadata(args.api_key, args.secret_key,
"tinkoff.cloud.stt")
response = stub.Recognize(build_recognition_request(args, reader),
metadata=metadata)
if not isinstance(response, dict):
# https://developers.google.com/protocol-buffers/docs/proto3#json
response = MessageToDict(response,
including_default_value_fields=True,
preserving_proto_field_name=True)
for result in response["results"]:
for alternative in result["alternatives"]:
total = total + alternative["transcript"]
print(total)