from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://platform.qubrid.com/v1",
    api_key="QUBRID_API_KEY",
)

stream = client.chat.completions.create(
    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"
            }
          }
        ]
      }
    ],
    max_tokens=4096,
    temperature=0,
    stream=True,
    extra_body={
        "language": "en",
        "ocr_mode": "general",
    }
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

print("\n")

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://platform.qubrid.com/v1',
  apiKey: 'QUBRID_API_KEY',
});

const stream = await client.chat.completions.create({
  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"
          }
        }
      ]
    }
  ],
  max_tokens: 4096,
  temperature: 0,
  stream: true,
  extra_body: {
    language: 'en',
    ocr_mode: 'general',
  }
});

for await (const chunk of stream) {
  if (chunk.choices[0]?.delta?.content) {
    process.stdout.write(chunk.choices[0].delta.content);
  }
}
console.log('\n');

package main

import (
  "bytes"
  "encoding/json"
  "net/http"
)

func main() {
  url := "https://platform.qubrid.com/v1/chat/completions"

  data := {
  "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"
          }
        }
      ]
    }
  ],
  "max_tokens": 4096,
  "temperature": 0,
  "stream": true,
  "language": "en",
  "ocr_mode": "general"
}
  jsonData, _ := json.Marshal(data)

  req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
  req.Header.Set("Authorization", "Bearer QUBRID_API_KEY")
  req.Header.Set("Content-Type", "application/json")

  client := &http.Client{}
  res, _ := client.Do(req)
}