ChatGPT

                    
using System;
using System.Net.Http;
using System.Text;
using Newtonsoft.Json;

class Program {
  static void Main(string[] args) {
    string apiKey = "YOUR_API_KEY";
    string prompt = "The sun was shining brightly and the birds were singing, it was a beautiful";
    string generatedText = GenerateText(apiKey, prompt);
    Console.WriteLine(generatedText);
  }

  private static string GenerateText(string apiKey, string prompt) {
    using (var client = new HttpClient()) {
      client.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");
      client.DefaultRequestHeaders.Add("Content-Type", "application/json");

      var requestData = new {
        prompt = prompt,
        max_tokens = 100,
        n = 1,
        stop = (string)null,
        temperature = 0.5
      };

      var response = client.PostAsync("https://api.openai.com/v1/engines/text-davinci-002/jobs", new StringContent(JsonConvert.SerializeObject(requestData), Encoding.UTF8, "application/json")).Result;
      response.EnsureSuccessStatusCode();

      var responseData = JsonConvert.DeserializeObject(response.Content.ReadAsStringAsync().Result);
      return responseData.choices[0].text;
    }
  }
}
                    
                    

                    
$apiKey = 'YOUR_API_KEY';
$prompt = 'The sun was shining brightly and the birds were singing, it was a beautiful';

$generatedText = generateText($apiKey, $prompt);
echo $generatedText;

function generateText($apiKey, $prompt) {
  $data = [
    'prompt' => $prompt,
    'max_tokens' => 100,
    'n' => 1,
    'stop' => null,
    'temperature' => 0.5,
  ];

  $options = [
    'http' => [
      'header' => [
        'Authorization: Bearer ' . $apiKey,
        'Content-Type: application/json',
      ],
      'method' => 'POST',
      'content' => json_encode($data),
    ],
  ];

  $context = stream_context_create($options);
  $response = file_get_contents('https://api.openai.com/v1/engines/text-davinci-002/jobs', false, $context);
  $responseData = json_decode($response, true);

  return $responseData['choices'][0]['text'];
}
                    
                    

                    
const axios = require('axios');

const apiKey = 'YOUR_API_KEY';
const prompt = 'The sun was shining brightly and the birds were singing, it was a beautiful';

async function generateText() {
  try {
    const response = await axios.post('https://api.openai.com/v1/engines/text-davinci-002/jobs', {
      prompt: prompt,
      max_tokens: 100,
      n: 1,
      stop: null,
      temperature: 0.5,
    }, {
      headers: {
        'Authorization': `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
    });

    const generatedText = response.data.choices[0].text;
    console.log(generatedText);
  } catch (error) {
    console.error(error);
  }
}

generateText();
                    
                    

                    
import openai

# Apply your OpenAI API key
openai.api_key = "YOUR_OPENAI_API_KEY"

# Define the prompt or text you want to complete
prompt = "What is the capital of France?"

# Call the completion function to generate a response
completion = openai.Completion.create(
    engine="text-davinci-002",
    prompt=prompt,
    max_tokens=1024,
    n=1,
    stop=None,
    temperature=0.5,
)

# Get the generated response from the completion object
message = completion.choices[0].text

# Print the response
print(message)
                    
                    

This code imports the openai module and sets your API key. Then, it defines a prompt or text you want to complete, calls the openai.Completion.create() function to generate a response, and stores the response in the message variable. Finally, it prints the response.

                    
package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io/ioutil"
	"net/http"
)

func main() {
	apiKey := "YOUR_API_KEY"
	prompt := "The sun was shining brightly and the birds were singing, it was a beautiful"
	generatedText := generateText(apiKey, prompt)
	fmt.Println(generatedText)
}

func generateText(apiKey string, prompt string) string {
	data := map[string]interface{}{
		"prompt":     prompt,
		"max_tokens": 100,
		"n":          1,
		"stop":       nil,
		"temperature": 0.5,
	}

	jsonData, _ := json.Marshal(data)
	req, _ := http.NewRequest("POST", "https://api.openai.com/v1/engines/text-davinci-002/jobs", bytes.NewBuffer(jsonData))
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()

	body, _ := ioutil.ReadAll(resp.Body)
	var responseData map[string]interface{}
	json.Unmarshal(body, &responseData)

	choices := responseData["choices"].([]interface{})
	choice := choices[0].(map[string]interface{})

	return choice["text"].(string)
}
                    
                    

                    
extern crate reqwest;
extern crate serde_json;

use serde_json::json;

fn main() {
    let api_key = "YOUR_API_KEY";
    let prompt = "The sun was shining brightly
        let generated_text = generate_text(api_key, &prompt);
    println!("{}", generated_text);
}

fn generate_text(api_key: &str, prompt: &str) -> String {
    let client = reqwest::Client::new();
    let response_text = client
        .post("https://api.openai.com/v1/engines/text-davinci-002/jobs")
        .header("Authorization", format!("Bearer {}", api_key))
        .header("Content-Type", "application/json")
        .json(&json!({
            "prompt": prompt,
            "max_tokens": 100,
            "n": 1,
            "stop": null,
            "temperature": 0.5,
        }))
        .send()
        .unwrap()
        .text()
        .unwrap();
    let response_data: serde_json::Value = serde_json::from_str(&response_text).unwrap();
    response_data["choices"][0]["text"].as_str().unwrap().to_owned()
}