curl --request POST \
  --url https://nano-gpt.com/api/nsfw/image \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "image_urls": "https://example.com/image.jpg",
  "imageUrls": "https://example.com/image.jpg",
  "imageUrl": "https://example.com/image.jpg",
  "imageDataUrl": "data:image/jpeg;base64,/9j/4AAQ...",
  "imageDataUrls": [
    "<string>"
  ],
  "model": "nsfw-classifier"
}
'

import requests

url = "https://nano-gpt.com/api/nsfw/image"

payload = {
    "image_urls": "https://example.com/image.jpg",
    "imageUrls": "https://example.com/image.jpg",
    "imageUrl": "https://example.com/image.jpg",
    "imageDataUrl": "data:image/jpeg;base64,/9j/4AAQ...",
    "imageDataUrls": ["<string>"],
    "model": "nsfw-classifier"
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image_urls: 'https://example.com/image.jpg',
    imageUrls: 'https://example.com/image.jpg',
    imageUrl: 'https://example.com/image.jpg',
    imageDataUrl: 'data:image/jpeg;base64,/9j/4AAQ...',
    imageDataUrls: ['<string>'],
    model: 'nsfw-classifier'
  })
};

fetch('https://nano-gpt.com/api/nsfw/image', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://nano-gpt.com/api/nsfw/image",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'image_urls' => 'https://example.com/image.jpg',
    'imageUrls' => 'https://example.com/image.jpg',
    'imageUrl' => 'https://example.com/image.jpg',
    'imageDataUrl' => 'data:image/jpeg;base64,/9j/4AAQ...',
    'imageDataUrls' => [
        '<string>'
    ],
    'model' => 'nsfw-classifier'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://nano-gpt.com/api/nsfw/image"

	payload := strings.NewReader("{\n  \"image_urls\": \"https://example.com/image.jpg\",\n  \"imageUrls\": \"https://example.com/image.jpg\",\n  \"imageUrl\": \"https://example.com/image.jpg\",\n  \"imageDataUrl\": \"data:image/jpeg;base64,/9j/4AAQ...\",\n  \"imageDataUrls\": [\n    \"<string>\"\n  ],\n  \"model\": \"nsfw-classifier\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://nano-gpt.com/api/nsfw/image")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image_urls\": \"https://example.com/image.jpg\",\n  \"imageUrls\": \"https://example.com/image.jpg\",\n  \"imageUrl\": \"https://example.com/image.jpg\",\n  \"imageDataUrl\": \"data:image/jpeg;base64,/9j/4AAQ...\",\n  \"imageDataUrls\": [\n    \"<string>\"\n  ],\n  \"model\": \"nsfw-classifier\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/nsfw/image")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image_urls\": \"https://example.com/image.jpg\",\n  \"imageUrls\": \"https://example.com/image.jpg\",\n  \"imageUrl\": \"https://example.com/image.jpg\",\n  \"imageDataUrl\": \"data:image/jpeg;base64,/9j/4AAQ...\",\n  \"imageDataUrls\": [\n    \"<string>\"\n  ],\n  \"model\": \"nsfw-classifier\"\n}"

response = http.request(request)
puts response.read_body

{
  "model": "nsfw-classifier",
  "requestId": "<string>",
  "inputCount": 2,
  "cost": 0.003,
  "currency": "USD",
  "truncated": false,
  "has_nsfw_concepts": [
    false,
    true
  ],
  "is_nsfw": true
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}