API Evangelist conversational phrasing for Hugging Face Audio API

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Hugging Face Audio API
  version: 1.0.0
extends: openapi/hugging-face-audio-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 3
- target: $.paths['/models/{model_id}/automatic-speech-recognition'].post
  update:
    x-apievangelist-phrasing:
      intent: Transcribe audio with a specific Hub model
      effect: write
      questions:
      - Can I send an audio clip straight to a particular speech recognition model on the Hub and get text back?
      - Which serverless inference route runs a chosen ASR model like Whisper by its model ID?
      instructions:
      - text: Transcribe this recording using the speech recognition model {model_id}.
        slots:
          model_id: path.model_id
      - text: Run automatic speech recognition inference on model {model_id} for my audio clip.
        slots:
          model_id: path.model_id
      method: generated
      generated: '2026-10-01'
- target: $.paths['/v1/audio/transcriptions'].post
  update:
    x-apievangelist-phrasing:
      intent: Transcribe an uploaded audio file
      effect: write
      questions:
      - Is there an audio transcriptions endpoint where I upload a file and pick the model?
      - Can I tell the transcriber what language the audio is in and give it a guiding prompt?
      - What output formats can a file transcription come back in, like plain text or JSON?
      instructions:
      - text: Upload {file} and transcribe it with model {model}.
        slots:
          file: requestBody.file
          model: requestBody.model
      - text: Transcribe audio file {file} with {model}, treating the spoken language as {language}.
        slots:
          file: requestBody.file
          model: requestBody.model
          language: requestBody.language
      - text: Transcribe {file} using {model} and hint the vocabulary with the prompt {prompt}.
        slots:
          file: requestBody.file
          model: requestBody.model
          prompt: requestBody.prompt
      method: generated
      generated: '2026-10-01'
- target: $.paths['/v1/audio/speech'].post
  update:
    x-apievangelist-phrasing:
      intent: Turn text into spoken audio
      effect: write
      questions:
      - Can I convert a paragraph of text into a spoken audio file with Hugging Face?
      - Which voices can I choose from when generating speech, and can I change the speaking speed?
      instructions:
      - text: Read {input} aloud using text-to-speech model {model}.
        slots:
          input: requestBody.input
          model: requestBody.model
      - text: Generate speech for {input} with model {model} in the {voice} voice at speed {speed}.
        slots:
          input: requestBody.input
          model: requestBody.model
          voice: requestBody.voice
          speed: requestBody.speed
      method: generated
      generated: '2026-10-01'