Hunyuan OCR (1B)

from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://platform.qubrid.com/",
    api_key="QUBRID_API_KEY",
)

response = client.completions.create(
    model="tencent/HunyuanOCR",
    prompt="undefined"
)

print(response)

import OpenAI from 'openai';

// Initialize the OpenAI client with Qubrid base URL
const client = new OpenAI({
  baseURL: 'https://platform.qubrid.com/',
  apiKey: 'QUBRID_API_KEY',
});

const response = await client.completions.create({
  model: 'tencent/HunyuanOCR',
  prompt: 'undefined'
});

console.log(response);

package main

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

func main() {
	apiKey := os.Getenv("QUBRID_API_KEY")
	payload := map[string]interface{}{
		"model": "tencent/HunyuanOCR",
		"messages": [
		{
			"role": "user",
			"content": [
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	],
	}

	jsonData, _ := json.Marshal(payload)
	req, _ := http.NewRequest("POST", "https://platform.qubrid.com/chat/completions", bytes.NewBuffer(jsonData))
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	resp, _ := http.DefaultClient.Do(req)
	defer resp.Body.Close()

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}