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farsava-js-client

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A repository for JavaScript software development kit (SDK) of Farsava API.

FarsavaJsClient - JavaScript client for Farsava API

Farsava API: Speech Recognition and Text to Speech by applying powerful deep neural network models.

This SDK is generated by the OpenAPI Generator project:

  • API version: 1.0.5
  • Package version: 1.0.5
  • Build package: org.openapitools.codegen.languages.JavascriptClientCodegen

Installation

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install farsava-js-client --save

git

If the library is hosted at a git repository, e.g.https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var FarsavaJsClient = require('farsava-js-client');

var defaultClient = FarsavaJsClient.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
var bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

var api = new FarsavaJsClient.LanguageModelApi()
var languageModelId = "languageModelId_example"; // {String} Id of the language model.
var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.getLanguageModelById(languageModelId, callback);

Documentation for API Endpoints

All URIs are relative to https://api.farsava.ir/v1

You can also visit our documentation.

Class Method HTTP request Description
FarsavaJsClient.LanguageModelApi getLanguageModelById GET /speech/languagemodels/{languageModelId} GET /speech/languagemodels/{languageModelId}
FarsavaJsClient.LanguageModelApi getLanguageModelList GET /speech/languagemodels GET /speech/languagemodels
FarsavaJsClient.LanguageModelApi trainLanguageModel POST /speech/languagemodels POST /speech/languagemodels
FarsavaJsClient.SpeechApi deleteTranscription DELETE /speech/transcriptions/{transcriptionId} DELETE /speech/transcriptions/{transcriptionId}
FarsavaJsClient.SpeechApi getTranscription GET /speech/transcriptions/{transcriptionId} GET /speech/transcriptions/{transcriptionId}
FarsavaJsClient.SpeechApi recognize POST /speech/asr POST /speech/asr
FarsavaJsClient.SpeechApi recognizeLive GET /speech/asrlive GET /speech/asrlive
FarsavaJsClient.SpeechApi recognizeLongRunning POST /speech/asrlongrunning POST /speech/asrlongrunning
FarsavaJsClient.SpeechApi speechHealthCheck GET /speech/healthcheck GET /speech/healthcheck
FarsavaJsClient.VoiceApi getVoicesList GET /voice/speakers GET /voice/speakers
FarsavaJsClient.VoiceApi synthesize POST /voice/tts POST /voice/tts
FarsavaJsClient.VoiceApi voiceHealthCheck GET /voice/healthcheck GET /voice/healthcheck

Documentation for Models

Documentation for Authorization

bearerAuth

  • Type: Bearer authentication (JWT)

Author

[email protected]

Organization

Amerandish

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Farsava client in javascript language.

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