Edits history of script submission #13574 for ' Transcribe speech to text (telnyx)'

• bun

  Ap­pro­ved version

  Edit in Windmill

  Embed

  //native
  type Telnyx = {
  	apiKey: string
  }
  type Base64 = string
  /**
   * Transcribe speech to text
   * Transcribe speech to text. This endpoint is consistent with the [OpenAI Transcription API](https://platform.openai.com/docs/api-reference/audio/createTranscription) and may be used with the OpenAI JS or Python SDK.
   */
  export async function main(
  	auth: Telnyx,
  	body: {
  		file?: {
  			base64: Base64
  			type:
  				| 'image/png'
  				| 'image/jpeg'
  				| 'image/gif'
  				| 'application/pdf'
  				| 'appication/json'
  				| 'text/csv'
  				| 'text/plain'
  				| 'audio/mpeg'
  				| 'audio/wav'
  				| 'video/mp4'
  			name: string
  		}
  		file_url?: string
  		model: 'distil-whisper/distil-large-v2' | 'openai/whisper-large-v3-turbo'
  		response_format?: 'json' | 'verbose_json'
  		'timestamp_granularities[]'?: 'segment'
  	}
  ) {
  	const url = new URL(`https://api.telnyx.com/v2/ai/audio/transcriptions`)
  
  	const formData = new FormData()
  	for (const [k, v] of Object.entries(body)) {
  		if (v !== undefined && v !== '') {
  			if (['file'].includes(k)) {
  				const { base64, type, name } = v as {
  					base64: Base64
  					type: string
  					name: string
  				}
  				formData.append(
  					k,
  					new Blob([Uint8Array.from(atob(base64), (m) => m.codePointAt(0)!)], {
  						type
  					}),
  					name
  				)
  			} else {
  				formData.append(k, String(v))
  			}
  		}
  	}
  	const response = await fetch(url, {
  		method: 'POST',
  		headers: {
  			Authorization: 'Bearer ' + auth.apiKey
  		},
  		body: formData
  	})
  	if (!response.ok) {
  		const text = await response.text()
  		throw new Error(`${response.status} ${text}`)
  	}
  	return await response.json()
  }
  

  Submitted by hugo697 428 days ago