Skip to main content

Speechly Public Protobuf Stubs

Project description

Python Speechly API

See the generic Speechly gRPC stubs documentation for more information about using the API.

Install

Install the latest package using pip:

pip install speechly-api

Using Python Stubs

The stubs are generated for the default grpcio python package, and the examples are using asyncio.

Creating a Channel

In python, the default authority of the channel needs to be overridden, as it defaults to a string containing the port number. This will not work with the API, so we set the DNS name manually:

channel = grpc.aio.secure_channel(
    target='api.speechly.com:443',
    credentials=grpc.ssl_channel_credentials(),
    options=[('grpc.default_authority', 'api.speechly.com')]
)

IdentityAPI

Login with speechly.identity.v2.IdentityAPI using an app_id:

async def login(channel, device_id, app_id=None, project_id=None):
    assert device_id, 'UUID device_is required'
    assert (app_id or project_id), 'app_id or project_id is required'
    identity_api = IdentityAPIStub(channel)
    req = LoginRequest(device_id=device_id)
    if app_id:
        # if a token with a single app_id is required:
        req.application.app_id = app_id
    else:
        # get a token that is usable for all apps in project:
        req.project.project_id = project_id
    response = await identity_api.Login(req)
    token = response.token
    expires = datetime.fromisoformat(response.expires_at)
    return token, expires

SLU

Open a bidirectional stream to speechly.slu.v1.SLU/Stream and send audio from a source generator to the API. The following example assumes that the audio_stream is an iterator that yields audio with 1 channel and sample rate 16000KHz, in bytes chunks:

async def stream_speech(channel, token, audio_stream, app_id=None):
    auth = ('authorization', f'Bearer {token}')

    async def read_responses(stream):
        transcript = []
        intent = ''
        entities = []
        resp = await stream.read()
        while resp != grpc.aio.EOF:
            if resp.HasField('started'):
                print(f'audioContext {resp.audio_context} started')
            elif resp.HasField('transcript'):
                transcript.append(resp.transcript.word)
            elif resp.HasField('entity'):
                entities.append(resp.entity.entity)
            elif resp.HasField('intent'):
                intent = resp.intent.intent
            elif resp.HasField('finished'):
                print(f'audioContext {resp.audio_context} finished')
            resp = await stream.read()
        return intent, entities, transcript

    async def send_audio(stream, source):
        await stream.write(SLURequest(event=SLUEvent(event='START', app_id=app_id)))
        for chunk in source:
            await stream.write(SLURequest(audio=chunk))
        await stream.write(SLURequest(event=SLUEvent(event='STOP')))
        await stream.done_writing()

    async with channel:
        slu = SLUStub(channel)
        try:
            stream = slu.Stream(metadata=[auth])
            config = SLUConfig(channels=1, sample_rate_hertz=16000)
            await stream.write(SLURequest(config=config))
            recv = read_responses(stream)
            send = send_audio(stream, audio_stream)
            r = await asyncio.gather(recv, send)
            intent, entities, transcript = r[0]
            print('Intent:', intent)
            print('Entities:', ', '.join(entities))
            print('Transcript:', ' '.join(transcript))
        except grpc.aio.AioRpcError as e:
            print('Error in SLU', str(e.code()), e.details())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

speechly_api-0.1.2.tar.gz (24.0 kB view details)

Uploaded Source

Built Distribution

speechly_api-0.1.2-py3-none-any.whl (30.3 kB view details)

Uploaded Python 3

File details

Details for the file speechly_api-0.1.2.tar.gz.

File metadata

  • Download URL: speechly_api-0.1.2.tar.gz
  • Upload date:
  • Size: 24.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.8.6

File hashes

Hashes for speechly_api-0.1.2.tar.gz
Algorithm Hash digest
SHA256 06dcd410d820284e2c268447b69a6be5cf1619ea93e15869547d4348d1b6a9f3
MD5 39ad3d0fa34a503a77c4fc113d470527
BLAKE2b-256 3559f73c40ffded5499e898689217a7be09e8a59d6d2dbaee268be4a1bbc7d1c

See more details on using hashes here.

File details

Details for the file speechly_api-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: speechly_api-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 30.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.8.6

File hashes

Hashes for speechly_api-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3b3d5f8e38f4da754b6468c744d134ca3d2f2490ccd36d9654ab2053adb29aea
MD5 e6df2f3b4b5f39f8690d24aceaa29666
BLAKE2b-256 9e65c9efc6ce5956f21db6dd1ceb9311bde235538ee54beabd5a7ceccec8ae53

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page