139 lines
4.1 KiB
PHP
139 lines
4.1 KiB
PHP
<?php
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/**
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* @package Joomla.Component.Builder
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*
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* @created 4th September, 2022
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* @author Llewellyn van der Merwe <https://dev.vdm.io>
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* @git Joomla Component Builder <https://git.vdm.dev/joomla/Component-Builder>
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* @copyright Copyright (C) 2015 Vast Development Method. All rights reserved.
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* @license GNU General Public License version 2 or later; see LICENSE.txt
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*/
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namespace VDM\Joomla\Openai;
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use VDM\Joomla\Openai\Abstraction\Api;
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/**
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* The Openai Audio
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*
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* @since 3.2.0
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*/
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class Audio extends Api
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{
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/**
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* Transcribes audio into the input language.
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* API Ref: https://platform.openai.com/docs/api-reference/audio/create
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*
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* @param string $file The audio file to transcribe. Formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm (required).
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* @param string|null $prompt An optional text to guide the model's style (optional).
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* @param string|null $responseFormat The format of the transcript output. Options: json, text, srt, verbose_json, or vtt (optional).
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* @param float|null $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 (optional).
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* @param string|null $language The language of the input audio (optional).
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* @param string $model ID of the model to use. Only "whisper-1" is currently available.
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*
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* @return object|null
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* @since 3.2.0
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**/
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public function transcribe(
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string $file,
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?string $prompt = null,
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?string $responseFormat = null,
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?float $temperature = null,
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?string $language = null,
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string $model = 'whisper-1'
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): ?object
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{
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// Build the request path.
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$path = "/audio/transcriptions";
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// Set the request data.
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$data = new \stdClass();
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$data->file = $file;
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if ($prompt !== null)
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{
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$data->prompt = $prompt;
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}
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if ($responseFormat !== null)
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{
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$data->response_format = $responseFormat;
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}
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if ($temperature !== null)
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{
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$data->temperature = $temperature;
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}
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if ($language !== null)
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{
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$data->language = $language;
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}
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$data->model = $model;
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// Send the post request.
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return $this->response->get(
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$this->http->post(
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$this->uri->get($path), json_encode($data), ['Content-Type' => 'multipart/form-data']
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)
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);
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}
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/**
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* Translate an audio file into English.
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* API Ref: https://platform.openai.com/docs/api-reference/audio/create
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*
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* @param string $file The the audio file. Formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm (required).
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* @param string|null $prompt An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English (optional).
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* @param string|null $responseFormat The format of the transcript output. Options: json, text, srt, verbose_json, or vtt (optional).
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* @param float|null $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 (optional).
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* @param string $model ID of the model to use. Only "whisper-1" is currently available.
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*
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* @return object|null
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* @since 3.2.0
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**/
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public function translation(
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string $file,
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?string $prompt = null,
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?string $responseFormat = null,
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?float $temperature = null,
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string $model = 'whisper-1'
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): ?object
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{
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// Build the request path.
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$path = "/audio/translations";
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// Set the data.
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$data = new \stdClass();
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$data->file = $file;
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if ($prompt !== null)
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{
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$data->prompt = $prompt;
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}
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if ($responseFormat !== null)
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{
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$data->response_format = $responseFormat;
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}
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if ($temperature !== null)
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{
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$data->temperature = $temperature;
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}
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$data->model = $model;
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// Send the post request.
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return $this->response->get(
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$this->http->post(
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$this->uri->get($path), json_encode($data), ['Content-Type' => 'multipart/form-data']
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)
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);
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}
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}
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