Specs/8/f/a/Rhino-iOS/1.6.3/Rhino-iOS.podspec.json

   1 {
   2   "name": "Rhino-iOS",
   3   "module_name": "Rhino",
   4   "version": "1.6.3",
   5   "license": {
   6     "type": "Apache 2.0",
   7     "file": "LICENSE"
   8   },
   9   "summary": "iOS SDK for Picovoice's Rhino Speech-to-Intent engine",
  10   "description": "Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of\ninterest, in real-time. For example, given a spoken command *\"Can I have a small double-shot espresso?\"*, Rhino infers that the user wants to order a drink and emits the following inference result:\n\n```json\n{\n  \"type\": \"espresso\",\n  \"size\": \"small\",\n  \"numberOfShots\": \"2\"\n}\n```\n\nRhino is:    \n    * using deep neural networks trained in real-world environments.\n    * compact and computationally-efficient, making it perfect for IoT.\n    * self-service. Developers and designers can train custom models using [Picovoice Console](https://picovoice.ai/console/).",
  11   "homepage": "https://github.com/Picovoice/rhino/tree/master/binding/ios",
  12   "authors": {
  13     "Picovoice": "hello@picovoice.ai"
  14   },
  15   "source": {
  16     "git": "https://github.com/Picovoice/rhino.git",
  17     "tag": "Rhino-iOS-v1.6.3"
  18   },
  19   "platforms": {
  20     "ios": "9.0"
  21   },
  22   "swift_versions": "5.0",
  23   "ios": {
  24     "frameworks": "AVFoundation"
  25   },
  26   "vendored_frameworks": "lib/ios/PvRhino.xcframework",
  27   "resources": "lib/common/rhino_params.pv",
  28   "source_files": "binding/ios/*.{swift}",
  29   "swift_version": "5.0"
  30 }