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AudioApi.kt
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AudioApi.kt
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/**
* Please note: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* Do not edit this file manually.
*/
@file:Suppress("ArrayInDataClass", "EnumEntryName", "RemoveRedundantQualifierName", "UnusedImport")
package com.xebia.functional.openai.apis
import com.xebia.functional.openai.infrastructure.*
import com.xebia.functional.openai.models.CreateSpeechRequest
import com.xebia.functional.openai.models.CreateTranscriptionRequestModel
import com.xebia.functional.openai.models.CreateTranscriptionResponse
import com.xebia.functional.openai.models.CreateTranslationResponse
import io.ktor.client.HttpClient
import io.ktor.client.HttpClientConfig
import io.ktor.client.engine.HttpClientEngine
import io.ktor.client.request.forms.formData
import kotlinx.serialization.*
import kotlinx.serialization.descriptors.*
import kotlinx.serialization.encoding.*
import kotlinx.serialization.json.Json
open class AudioApi : ApiClient {
constructor(
baseUrl: String = ApiClient.BASE_URL,
httpClientEngine: HttpClientEngine? = null,
httpClientConfig: ((HttpClientConfig<*>) -> Unit)? = null,
jsonSerializer: Json = ApiClient.JSON_DEFAULT
) : super(
baseUrl = baseUrl,
httpClientEngine = httpClientEngine,
httpClientConfig = httpClientConfig,
jsonBlock = jsonSerializer
)
constructor(
baseUrl: String,
httpClient: HttpClient
) : super(baseUrl = baseUrl, httpClient = httpClient)
/**
* Generates audio from the input text.
*
* @param createSpeechRequest
* @return com.xebia.functional.openai.infrastructure.OctetByteArray
*/
@Suppress("UNCHECKED_CAST")
open suspend fun createSpeech(
createSpeechRequest: CreateSpeechRequest
): HttpResponse<com.xebia.functional.openai.infrastructure.OctetByteArray> {
val localVariableAuthNames = listOf<String>("ApiKeyAuth")
val localVariableBody = createSpeechRequest
val localVariableQuery = mutableMapOf<String, List<String>>()
val localVariableHeaders = mutableMapOf<String, String>()
val localVariableConfig =
RequestConfig<kotlin.Any?>(
RequestMethod.POST,
"/audio/speech",
query = localVariableQuery,
headers = localVariableHeaders,
requiresAuthentication = true,
)
return jsonRequest(localVariableConfig, localVariableBody, localVariableAuthNames).wrap()
}
/** enum for parameter responseFormat */
@Serializable
enum class ResponseFormatCreateTranscription(val value: kotlin.String) {
@SerialName(value = "json") json("json"),
@SerialName(value = "text") text("text"),
@SerialName(value = "srt") srt("srt"),
@SerialName(value = "verbose_json") verbose_json("verbose_json"),
@SerialName(value = "vtt") vtt("vtt")
}
/** enum for parameter timestampGranularities */
@Serializable
enum class TimestampGranularitiesCreateTranscription(val value: kotlin.String) {
@SerialName(value = "word") word("word"),
@SerialName(value = "segment") segment("segment")
}
/**
* Transcribes audio into the input language.
*
* @param file The audio file object (not file name) to transcribe, in one of these formats: flac,
* mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
* @param model
* @param language The language of the input audio. Supplying the input language in
* [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve
* accuracy and latency. (optional)
* @param prompt An optional text to guide the model's style or continue a previous audio
* segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.
* (optional)
* @param responseFormat The format of the transcript output, in one of these options:
* `json`, `text`, `srt`, `verbose_json`, or
* `vtt`. (optional, default to json)
* @param temperature The sampling temperature, between 0 and 1. Higher values like 0.8 will make
* the output more random, while lower values like 0.2 will make it more focused and
* deterministic. If set to 0, the model will use
* [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase
* the temperature until certain thresholds are hit. (optional, default to 0)
* @param timestampGranularities The timestamp granularities to populate for this transcription.
* Any of these options: `word`, or `segment`. Note: There is no additional
* latency for segment timestamps, but generating word timestamps incurs additional latency.
* (optional, default to segment)
* @return CreateTranscriptionResponse
*/
@Suppress("UNCHECKED_CAST")
open suspend fun createTranscription(
file: com.xebia.functional.openai.apis.UploadFile,
model: CreateTranscriptionRequestModel,
language: kotlin.String? = null,
prompt: kotlin.String? = null,
responseFormat: ResponseFormatCreateTranscription? = ResponseFormatCreateTranscription.json,
temperature: kotlin.Double? = 0.toDouble(),
timestampGranularities: kotlin.collections.List<TimestampGranularitiesCreateTranscription>? =
TimestampGranularitiesCreateTranscription.segment.asListOfOne()
): HttpResponse<CreateTranscriptionResponse> {
val localVariableAuthNames = listOf<String>("ApiKeyAuth")
val localVariableBody = formData {
file?.apply { appendGen("file", file) }
model?.apply { appendGen("model", model) }
language?.apply { appendGen("language", language) }
prompt?.apply { appendGen("prompt", prompt) }
responseFormat?.apply { appendGen("response_format", responseFormat) }
temperature?.apply { appendGen("temperature", temperature) }
timestampGranularities?.onEach { appendGen("timestamp_granularities[][]", it) }
}
val localVariableQuery = mutableMapOf<String, List<String>>()
val localVariableHeaders = mutableMapOf<String, String>()
val localVariableConfig =
RequestConfig<kotlin.Any?>(
RequestMethod.POST,
"/audio/transcriptions",
query = localVariableQuery,
headers = localVariableHeaders,
requiresAuthentication = true,
)
return multipartFormRequest(localVariableConfig, localVariableBody, localVariableAuthNames)
.wrap()
}
/**
* Translates audio into English.
*
* @param file The audio file object (not file name) translate, in one of these formats: flac,
* mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
* @param model
* @param prompt An optional text to guide the model's style or continue a previous audio
* segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. (optional)
* @param responseFormat The format of the transcript output, in one of these options:
* `json`, `text`, `srt`, `verbose_json`, or
* `vtt`. (optional, default to "json")
* @param temperature The sampling temperature, between 0 and 1. Higher values like 0.8 will make
* the output more random, while lower values like 0.2 will make it more focused and
* deterministic. If set to 0, the model will use
* [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase
* the temperature until certain thresholds are hit. (optional, default to 0)
* @return CreateTranslationResponse
*/
@Suppress("UNCHECKED_CAST")
open suspend fun createTranslation(
file: com.xebia.functional.openai.apis.UploadFile,
model: CreateTranscriptionRequestModel,
prompt: kotlin.String? = null,
responseFormat: kotlin.String? = "json",
temperature: kotlin.Double? = 0.toDouble()
): HttpResponse<CreateTranslationResponse> {
val localVariableAuthNames = listOf<String>("ApiKeyAuth")
val localVariableBody = formData {
file?.apply { appendGen("file", file) }
model?.apply { appendGen("model", model) }
prompt?.apply { appendGen("prompt", prompt) }
responseFormat?.apply { appendGen("response_format", responseFormat) }
temperature?.apply { appendGen("temperature", temperature) }
}
val localVariableQuery = mutableMapOf<String, List<String>>()
val localVariableHeaders = mutableMapOf<String, String>()
val localVariableConfig =
RequestConfig<kotlin.Any?>(
RequestMethod.POST,
"/audio/translations",
query = localVariableQuery,
headers = localVariableHeaders,
requiresAuthentication = true,
)
return multipartFormRequest(localVariableConfig, localVariableBody, localVariableAuthNames)
.wrap()
}
}