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ChatGPT written Laravel Service class for interacting with ChatGPT's API.
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| You will need to add your API key and the base URL of the API to the configuration file of your application (config/services.php) in order to use this service class. | |
| You can use this service class to generate text by calling the generateText method and passing in a prompt as an argument. | |
| You can also modify the model, token, stop and temperature and other parameters based on your requirements. | |
| Note that this is an example, that you should adapt and test to your specific case and use case. | |
| This code was written by ChatGPT! |
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| <?php | |
| namespace App\Services; | |
| use GuzzleHttp\Client; | |
| class ChatGPTService | |
| { | |
| private $apiKey; | |
| private $baseUrl; | |
| public function __construct() | |
| { | |
| $this->apiKey = config('services.chatgpt.api_key'); | |
| $this->baseUrl = config('services.chatgpt.base_url'); | |
| } | |
| public function generateText($prompt) | |
| { | |
| $client = new Client([ | |
| 'base_uri' => $this->baseUrl, | |
| 'headers' => [ | |
| 'Content-Type' => 'application/json', | |
| 'Authorization' => 'Bearer ' . $this->apiKey, | |
| ], | |
| ]); | |
| $response = $client->post('/v1/models/davinci-codex/completions', [ | |
| 'json' => [ | |
| 'prompt' => $prompt, | |
| 'max_tokens' => 100, | |
| 'stop' => '\n', | |
| 'temperature' => 0.5, | |
| ], | |
| ]); | |
| $result = json_decode($response->getBody(), true); | |
| return $result['choices'][0]['text']; | |
| } | |
| } |
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