How to Use GPTBiz API

🎉 We are excited to announce that the GPTBiz API is launching soon! This is an advanced text generation interface integrated with multimodal capabilities. In addition to traditional text generation, this API also supports search, drawing, and other functions, providing a comprehensive intelligent solution for your applications. This article will guide you on how to effectively utilize this API to implement automated text generation in your application, thereby enhancing user experience and business efficiency.

1. Obtain API Key

Currently, access to the GPT-Biz API is limited to certain users. If you need to obtain an API key, please contact our customer service team.

2. API Invocation

Use the following example code to invoke the GPT-Biz API and generate content. This example uses Python’s requests library, so make sure it is installed in your environment first.

import requests

def generate_text(prompt):
    url = "https://api.gpt.biz/v1/chat/completions"
    payload = {
      "model": "gpt-4",
      "messages": [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": prompt},
      ]
    }
    headers = {
        "Authorization": "Bearer YOUR_API_KEY_HERE",
        "Content-Type": "application/json"
    }

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

# Example function call
result = generate_text("Hello, world!")
print(result["choices"][0]["message"]["content"])

Considerations

Ensure you replace “YOUR_API_KEY_HERE” with your actual API key in the code. The current supported model types are “text-davinci-002-render-sha” and “gpt-4.” Here is a comparison of the two models:

Please choose the appropriate model based on your needs.

GPTBiz API offers a convenient way to integrate advanced language models into your application. With simple REST API calls, you can easily implement automated text generation features in your projects. We hope this helps you successfully integrate the GPTBiz API into your project.