Specs/8/f/a/Rhino-iOS/2.2.0/Rhino-iOS.podspec.json

   1 {
   2   "name": "Rhino-iOS",
   3   "module_name": "Rhino",
   4   "version": "2.2.0",
   5   "license": {
   6     "type": "Apache 2.0"
   7   },
   8   "summary": "iOS SDK for Picovoice's Rhino Speech-to-Intent engine",
   9   "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/).",
  10   "homepage": "https://github.com/Picovoice/rhino/tree/master/binding/ios",
  11   "authors": {
  12     "Picovoice": "hello@picovoice.ai"
  13   },
  14   "source": {
  15     "git": "https://github.com/Picovoice/rhino.git",
  16     "tag": "Rhino-iOS-v2.2.0"
  17   },
  18   "platforms": {
  19     "ios": "11.0"
  20   },
  21   "swift_versions": "5.0",
  22   "vendored_frameworks": "lib/ios/PvRhino.xcframework",
  23   "resource_bundles": {
  24     "RhinoResources": [
  25       "lib/common/rhino_params.pv"
  26     ]
  27   },
  28   "source_files": "binding/ios/*.{swift}",
  29   "exclude_files": "binding/ios/RhinoAppTest/**",
  30   "dependencies": {
  31     "ios-voice-processor": [
  32       "~> 1.0.2"
  33     ]
  34   },
  35   "swift_version": "5.0"
  36 }