配置环境

pip install openai

列出模型

import osimport openaiopenai.api_key = os.getenv("OPENAI_API_KEY")openai.Model.list()

发送请求

Create completion

import osimport openaiopenai.api_key = ''openai.Completion.create(  model="gpt-3.5-turbo",  prompt="Say this is a test",  max_tokens=7,  temperature=0)

response

{  "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",  "object": "text_completion",  "created": 1589478378,  "model": "text-davinci-003",  "choices": [    {      "text": "\n\nThis is indeed a test",      "index": 0,      "logprobs": null,      "finish_reason": "length"    }  ],  "usage": {    "prompt_tokens": 5,    "completion_tokens": 7,    "total_tokens": 12  }}

请求参数

• model

• prompt: 如果没有, the model will generate as if from the beginning of a new document.

• suffix: 感觉没啥用

• max_tokens integer Optional Defaults to 16

  gpt返回的最大tokens数量, 你的promt的tokens+max_tokens必须小于2048或4096(最新的model)

• temperature number Optional Defaults to 1

  range from [0,2], 温度越高, 随机性越强

  官方建议, 温度和top_p值改变一个

• top_p number Optional Defaults to 1 用温度吧, 别用他

• n int Opt Defau 1

  对于每个prompt, 产生的completions的条数

chat

import osimport openaiopenai.api_key = os.getenv("OPENAI_API_KEY")completion = openai.ChatCompletion.create(  model="gpt-3.5-turbo",  messages=[        {"role": "system", "content": "You are a helpful assistant."},        {"role": "user", "content": "Who won the world series in 2020?"},        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},        {"role": "user", "content": "Where was it played?"}    ])print(completion.choices[0].message)

response

{  "id": "chatcmpl-123",  "object": "chat.completion",  "created": 1677652288,  "choices": [{    "index": 0,    "message": {      "role": "assistant",      "content": "\n\nHello there, how may I assist you today?",    },    "finish_reason": "stop"  }],  "usage": {    "prompt_tokens": 9,    "completion_tokens": 12,    "total_tokens": 21  }}

在 Python 中，可以使用 提取助手的回复response[‘choices’][0][‘message’][‘content’]

一般来说，gpt-3.5-turbo-0301对系统消息的关注度不高，因此重要的说明往往放在用户消息中比较好。

edit

给定提示和指令，模型将返回提示的编辑版本。

import osimport openaiopenai.api_key = os.getenv("OPENAI_API_KEY")openai.Edit.create(  model="text-davinci-edit-001",  input="What day of the wek is it?",#用作编辑起点的输入文本。  instruction="Fix the spelling mistakes"# it's like prompt)

图像生成

建议用midjourney :)

import osimport openaiopenai.api_key = os.getenv("OPENAI_API_KEY")openai.Image.create(  prompt="A cute baby sea otter",#最长1000个字符  n=2,#生成的图像数量, 在1~10之间  size="1024x1024")

图像编辑

在给定原始图像和提示的情况下创建编辑或扩展图像。

import osimport openaiopenai.api_key = os.getenv("OPENAI_API_KEY")openai.Image.create_edit(  image=open("otter.png", "rb"),#要编辑的图像  mask=open("mask.png", "rb"),#附加图像,可选  prompt="A cute baby sea otter wearing a beret",#最长1000个字符  n=2,  size="1024x1024")

嵌入

这个感觉好高级, 留个坑

上传文件

所有文件最大1GB

用到了fine-tunes, 暂时不太懂