spladder87/kblab-whisper-diarization

Public

49 runs

License

GitHub

Paper

Run spladder87/kblab-whisper-diarization with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
enable_diarization	boolean	True	Perform speaker diarization? (Requires Hugging Face token)
hf_token	string		Your Hugging Face API token. Leave blank to use the default set in the environment.
file_string	string		Either provide: Base64 encoded audio file,
file_url	string		Or provide: A direct audio file URL
file	string		Or an audio file
num_speakers	integer	Min: 1 Max: 50	Number of speakers, leave empty to autodetect.
translate	boolean	False	Translate the speech into English.
language	string		Language of the spoken words as a language code like 'en'. Leave empty to auto-detect language.
prompt	string		Vocabulary: provide names, acronyms and loanwords in a list. Use punctuation for best accuracy.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "file": {
      "type": "string",
      "title": "File",
      "format": "uri",
      "x-order": 4,
      "description": "Or an audio file"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 8,
      "description": "Vocabulary: provide names, acronyms and loanwords in a list. Use punctuation for best accuracy."
    },
    "file_url": {
      "type": "string",
      "title": "File Url",
      "x-order": 3,
      "description": "Or provide: A direct audio file URL"
    },
    "hf_token": {
      "type": "string",
      "title": "Hf Token",
      "x-order": 1,
      "description": "Your Hugging Face API token. Leave blank to use the default set in the environment."
    },
    "language": {
      "type": "string",
      "title": "Language",
      "x-order": 7,
      "description": "Language of the spoken words as a language code like 'en'. Leave empty to auto-detect language."
    },
    "translate": {
      "type": "boolean",
      "title": "Translate",
      "default": false,
      "x-order": 6,
      "description": "Translate the speech into English."
    },
    "file_string": {
      "type": "string",
      "title": "File String",
      "x-order": 2,
      "description": "Either provide: Base64 encoded audio file,"
    },
    "num_speakers": {
      "type": "integer",
      "title": "Num Speakers",
      "maximum": 50,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of speakers, leave empty to autodetect."
    },
    "enable_diarization": {
      "type": "boolean",
      "title": "Enable Diarization",
      "default": true,
      "x-order": 0,
      "description": "Perform speaker diarization? (Requires Hugging Face token)"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "object",
  "title": "Output",
  "required": [
    "segments"
  ],
  "properties": {
    "language": {
      "type": "string",
      "title": "Language"
    },
    "segments": {
      "type": "array",
      "items": {},
      "title": "Segments"
    },
    "num_speakers": {
      "type": "integer",
      "title": "Num Speakers"
    }
  }
}