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Building applications with LLMs through composability in Kotlin
/**
*
* 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.generated.api
import com.xebia.functional.openai.generated.model.CreateSpeechRequest
import com.xebia.functional.openai.generated.model.CreateTranscription200Response
import com.xebia.functional.openai.generated.model.CreateTranscriptionRequestModel
import com.xebia.functional.openai.generated.model.CreateTranslation200Response
import com.xebia.functional.openai.Config
import com.xebia.functional.openai.UploadFile
import com.xebia.functional.openai.appendGen
import com.xebia.functional.openai.generated.api.Audio.*
import com.xebia.functional.openai.streamEvents
import com.xebia.functional.openai.errors.serializeOrThrowWithResponseInfo
import io.ktor.client.HttpClient
import io.ktor.client.call.body
import io.ktor.client.plugins.timeout
import io.ktor.client.request.HttpRequestBuilder
import io.ktor.client.request.accept
import io.ktor.client.request.header
import io.ktor.client.request.forms.formData
import io.ktor.client.request.parameter
import io.ktor.client.request.prepareRequest
import io.ktor.client.request.request
import io.ktor.client.request.setBody
import io.ktor.client.statement.HttpResponse
import io.ktor.client.statement.HttpStatement
import io.ktor.http.ContentType
import io.ktor.http.HttpHeaders
import io.ktor.http.HttpMethod
import io.ktor.http.contentType
import io.ktor.http.path
import kotlinx.coroutines.flow.Flow
import kotlinx.coroutines.flow.flow
import kotlinx.serialization.*
import kotlinx.serialization.descriptors.*
import kotlinx.serialization.encoding.*
import kotlinx.serialization.json.Json
import kotlinx.serialization.json.JsonObject
import kotlinx.serialization.json.jsonObject
import kotlinx.serialization.json.JsonPrimitive
import kotlin.time.Duration.Companion.seconds
import kotlin.time.DurationUnit
/**
*
*/
interface Audio {
/**
* Generates audio from the input text.
*
* @param createSpeechRequest
* @param configure optional configuration for the request, allows overriding the default configuration.
* @return UploadFile
*/
suspend fun createSpeech(createSpeechRequest: CreateSpeechRequest, configure: HttpRequestBuilder.() -> Unit = {}): HttpResponse
/**
* 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. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency. (optional)
* @param configure optional configuration for the request, allows overriding the default configuration.
* @return CreateTranscription200Response
*/
suspend fun createTranscription(file: UploadFile, model: CreateTranscriptionRequestModel, language: kotlin.String? = null, prompt: kotlin.String? = null, responseFormat: ResponseFormatCreateTranscription? = ResponseFormatCreateTranscription.json, temperature: kotlin.Double? = 0.toDouble(), timestampGranularities: kotlin.collections.List? = null, configure: HttpRequestBuilder.() -> Unit = {}): CreateTranscription200Response
/**
* 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)
* @param configure optional configuration for the request, allows overriding the default configuration.
* @return CreateTranslation200Response
*/
suspend fun createTranslation(file: UploadFile, model: CreateTranscriptionRequestModel, prompt: kotlin.String? = null, responseFormat: kotlin.String? = "json", temperature: kotlin.Double? = 0.toDouble(), configure: HttpRequestBuilder.() -> Unit = {}): CreateTranslation200Response
}
fun Audio(client: HttpClient, config: Config): com.xebia.functional.openai.generated.api.Audio = object : com.xebia.functional.openai.generated.api.Audio {
override suspend fun createSpeech(createSpeechRequest: CreateSpeechRequest, configure: HttpRequestBuilder.() -> Unit): HttpResponse =
client.request {
configure()
method = HttpMethod.Post
contentType(ContentType.Application.Json)
url { path("audio/speech") }
setBody(createSpeechRequest
)
}
override suspend fun createTranscription(file: UploadFile,model: CreateTranscriptionRequestModel,language: kotlin.String?,prompt: kotlin.String?,responseFormat: ResponseFormatCreateTranscription?,temperature: kotlin.Double?,timestampGranularities: kotlin.collections.List?, configure: HttpRequestBuilder.() -> Unit): CreateTranscription200Response =
client.request {
configure()
method = HttpMethod.Post
contentType(ContentType.Application.Json)
url { path("audio/transcriptions") }
setBody(
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) }
}
)
}.serializeOrThrowWithResponseInfo()
override suspend fun createTranslation(file: UploadFile,model: CreateTranscriptionRequestModel,prompt: kotlin.String?,responseFormat: kotlin.String?,temperature: kotlin.Double?, configure: HttpRequestBuilder.() -> Unit): CreateTranslation200Response =
client.request {
configure()
method = HttpMethod.Post
contentType(ContentType.Application.Json)
url { path("audio/translations") }
setBody(
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) }
}
)
}.serializeOrThrowWithResponseInfo()
}