OPENAI_API_KEY=abc123 之后我们调用时候只需要包含下面两行语句即可调用API接口: from openai import OpenAI client = OpenAI() # defaults to getting the key using os.environ.get("OPENAI_API_KEY") # if you saved the key under a different environment variable name, you can do something like: #...
client = OpenAI(api_key=api_key) def recognize_image(): response = client.chat.completions.create( model="gpt-4-vision-preview", messages=[ { "role": "user", "content": [ {"type": "text", "text": "这个图片里面有什么"}, { "type": "image_url", "image_url": "https://upload...
client = OpenAI(api_key="这里填写你的 api key", base_url="https://api.siliconflow.cn/v1") response = client.chat.completions.create( model='deepseek-ai/DeepSeek-V2.5', messages=[ {'role':'user','content':"SiliconCloud 推出分层速率方案与免费模型 RPM 提升 10 倍,对于整个大模型应用领...
OpenAI API client for Rust More information about the OpenAI API: https://beta.openai.com/docs/ Usage Completions API use openai_api_client::*; #[actix_rt::main] async fn main() { // pretty usage let api_key = "..."; let model = "text-davinci-003"; let max_tokens:u32 = ...
client=OpenAI(api_key=api_key)defchange_image():response=client.images.create_variation(image=open("img_2.png","rb"),n=2,size="1024x1024")image_url=response.data[0].urlprint('image_url:',image_url) 输入和输出图像如下 与编辑类似,输入图像必须是大小小于 4MB 的方形 PNG 图像。
PHP OpenAI API Client A simple community-maintained PHP client library for interacting with the OpenAI API. This package provides an easy way to use OpenAI's GPT models for tasks such as text generation and completion. Please note that this is an unofficial library. ...
OpenAI API client synced with the latest schema. For frontend (ex. React) and backend (Node.js). Compatible with CommonJS & ESModules. Written in TypeScript. Features Can use with both frontend and backend codes. Dual package (CommonJS & ESModules) ...
client = OpenAI(api_key=api_key) def recognize_image(): response = client.chat.completions.create( model="gpt-4-vision-preview", messages=[ { "role":"user", "content": [ {"type":"text","text":"这个图片里面有什么"}, { "type":"image_url", ...
聊天API 能够接收和处理 base64 编码格式或图像网址的多个图像输入。该模型将处理每张图像,并使用来自所有图像的信息来回答问题。 client = OpenAI(api_key=api_key) def recognize_multiple_images(): response = client.chat.completions.create( model="gpt-4-vision-preview", ...
在代码中创建一个 OpenAI API 客户端对象并使用密钥进行身份验证。 使用客户端对象调用音频转录 API。 下面是一个简单的示例代码,该代码使用 OpenAI 音频转录 API 将一个 WAV 文件转换为文本: import com.openai.api.ApiClient; import com.openai.api.models.CreateTranscriptionResponse; ...