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Messages and services are located within their specific packages and in separate files.\n\n```ts\nimport { credentials, Metadata } from \"grpc\";\n\nimport { ConfigAPIClient } from \"@speechly/api/speechly/config/v1/config_api_grpc_pb\";\nimport { ListAppsRequest } from \"@speechly/api/speechly/config/v1/config_api_pb\";\n\n// Create a client for Speechly Configuration API.\nconst client = new ConfigAPIClient(\"api.speechly.com\", credentials.createSsl());\n\n// Set up metadata with authorization token.\nconst token = \"my-api-token\";\nconst md = new Metadata();\nmd.add(\"Authorization\", `Bearer ${token}`);\n\n// Prepare the request for ListApps RPC.\nconst req = new ListAppsRequest();\nreq.setProject(\"11111111-1111-1111-1111-111111111111\");\n\n// Execute the RPC.\nclient.listApps(req, md, (err, res) => {\n  if (err !== null) {\n    console.error(\"Error listing apps:\", err);\n    return;\n  }\n\n  const apps = res.getAppsList();\n\n  console.log(\"Fetched\", apps.length, 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code for Speechly gRPC API","homepage":"https://github.com/speechly/api#readme","keywords":["Speechly","SLU","NLP","speech-to-text","API","gRPC","natural","language"],"repository":{"type":"git","url":"git+https://github.com/speechly/api.git"},"author":{"name":"Speechly"},"bugs":{"url":"https://github.com/speechly/api/issues"},"license":"MIT","readme":"# Javascript Speechly API\n\nSee the generic [Speechly gRPC stubs documentation](https://github.com/speechly/api) for more information about using the API. This package is meant and tested for node.js server side implementations.\n\n## Installation\n\nThe gRPC libraries (`@grpc/grpc-js` and `google-protobuf`) are declared as peer dependencies, meaning that they need to be installed separately in the main package. This is to prevent multiple versions of `@grpc/grpc-js` existing in the module tree. There is another gRPC implementation for node, `grpc`, which is deprecated and not supported by this package.\n\n```sh\nnpm install --save @grpc/grpc-js google-protobuf\nnpm install --save @speechly/api\n```\n\n## Usage\n\nThe generated code can be used with Javascript or TypeScript code, but it only works on platforms that support ES or CommonJS modules. Messages and services are located within their specific packages and in separate files.\n\n### Creating a Client\n\nEvery gRPC service definition is bundled with a generic client that can be used to access the service. Create API clients like this:\n\n```javascript\nconst { credentials, Metadata } = require(\"@grpc/grpc-js\");\nconst { IdentityAPIClient } = require(\"@speechly/api/speechly/identity/v2/identity_api_grpc_pb\");\nconst identityClient = new IdentityAPIClient(\"api.speechly.com\", credentials.createSsl());\nconst { SLUClient } = require(\"@speechly/api/speechly/slu/v1/slu_grpc_pb\");\nconst sluClient = new SLUClient(\"api.speechly.com\", credentials.createSsl());\n```\n\nThe clients will use protobuf messages, which are included in this package:\n\n```javascript\nconst { LoginRequest, ApplicationScope, ProjectScope } = require(\"@speechly/api/speechly/identity/v2/identity_api_pb\");\nconst { SLURequest, SLUConfig, SLUEvent } = require(\"@speechly/api/speechly/slu/v1/slu_pb\");\n```\n\n### IdentityAPI\n\nLogging in with IdentityAPI is a single RPC call, wrapped here in a `Promise`. The `login` function takes either an `appId` or a `projectId`, and returns the resulting token with the expiry time.\n\n```javascript\nasync function login(deviceId, appId, projectId) {\n  return new Promise((resolve, reject) => {\n    const req = new LoginRequest();\n    req.setDeviceId(deviceId);\n    if (appId !== undefined) {\n      const app = new ApplicationScope();\n      app.setAppId(appId);\n      req.setApplication(app);\n    } else {\n      const project = new ProjectScope();\n      project.setProjectId(projectId);\n      req.setProject(project);\n    }\n    identityClient.login(req, (err, res) => {\n      if (err) {\n        reject(err);\n      }\n      resolve({\n        token: res.getToken(),\n        expires: new Date(res.getExpiresAt())\n      });\n    });\n  });\n}\n```\n\n### SLU\n\nStreaming SLU is a bidirectional RPC call to the API, which means that it is not no simple as the login example above. The `data` parameter is a nodejs stream, providing the audio data in `Buffer` data events. The `appId` is required if the token is project scoped.\n\n```javascript\nasync function stream_speech(data, appId, token) {\n  return new Promise((resolve, reject) => {\n    // Set up metadata with authorization token, and start the stream\n    const md = new Metadata();\n    md.add(\"Authorization\", `Bearer ${token}`);\n    const call = sluClient.stream(md);\n\n    // expect to get transcript, entities and intent\n    const transcript = [];\n    const entities = [];\n    let intent = \"\";\n\n    // set up event handlers for incoming data\n    call.on(\"data\", d => {\n      if (d.hasStarted()) {\n        console.log(\"Started audio context\", d.getAudioContext());\n      } else if (d.hasFinished()) {\n        console.log(\"Stopped audio context\", d.getAudioContext());\n      } else if (d.hasTranscript()) {\n        transcript.push(d.getTranscript().getWord());\n      } else if (d.hasEntity()) {\n        entities.push(d.getEntity().getEntity());\n      } else if (d.hasIntent()) {\n        intent = d.getIntent().getIntent();\n      }\n    });\n    // on server error, reject promise\n    call.on(\"error\", err => {\n      reject(err);\n    });\n    // when API ends, every result is ready\n    call.on(\"end\", () => {\n      resolve({\n        intent,\n        entities: entities.join(\", \"),\n        transcript: transcript.join(\" \")\n      });\n    });\n\n    // send audio configuration\n    const config = new SLUConfig();\n    config.setEncoding(SLUConfig.Encoding.LINEAR16);\n    config.setChannels(1);\n    config.setSampleRateHertz(16000);\n    const configReq = new SLURequest();\n    configReq.setConfig(config);\n    call.write(configReq);\n\n    // start new audio context\n    const startContextReq = new SLURequest();\n    const startEvent = new SLUEvent();\n    startEvent.setEvent(SLUEvent.Event.START);\n    startEvent.setAppId(appId);\n    startContextReq.setEvent(startEvent);\n    call.write(startContextReq);\n\n    // for every chunk in data, send it to API\n    data.on(\"data\", chunk => {\n      const req = new SLURequest();\n      req.setAudio(chunk);\n      call.write(req);\n    });\n\n    // send stop context and end call (half-close stream)\n    data.on(\"end\", () => {\n      const stopContextReq = new SLURequest();\n      const stopEvent = new SLUEvent();\n      stopEvent.setEvent(SLUEvent.Event.STOP);\n      stopContextReq.setEvent(stopEvent);\n      call.write(stopContextReq);\n      call.end();\n    });\n  });\n}\n```\n\n### Combine and run!\n\n```javascript\n(async () => {\n  try {\n    const projectId = \"your_project_id\";\n    const deviceId = \"generated_UUID_for_device\";\n    const appId = \"your_app_id\";\n    const loginRes = await login(deviceId, undefined, projectId);\n    const data = readAudioSource();\n    const res = await stream_speech(data, appId, loginRes.token);\n\n    console.log(\"Intent: \", res.intent);\n    console.log(\"Entities: \", res.entities);\n    console.log(\"Transcript: \", res.transcript);\n  } catch (err) {\n    console.error(err);\n  }\n})();\n```\n\nWhile it is recommended to stream the audio directly sto the Speechly SLU API, as a test case a pre-recorded WAV file can be used. Note that the audio config message needs to match with the actual audio contained in the WAV file, otherwise the results will not be of good quality. You can resample recordings with eg. [sox](http://sox.sourceforge.net).\n\nReading a WAV file in a format usable in the above code, using the `wav` npm package:\n\n```javascript\nconst wav = require(\"wav\");\nconst fs = require(\"fs\");\n\nfunction readWAV(file) {\n  const fstream = fs.createReadStream(file);\n  const reader = new wav.Reader();\n  fstream.pipe(reader);\n  return reader;\n}\n```\n","readmeFilename":"README.md"}