whisper /Users/seveniruby/ceba/ai_v2_kg/data/bytedance.mp4



Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: Chinese
[00:00.000 --> 00:02.000] 吉智公云 吉智收获
[00:30.000 --> 00:32.000] 吉智 吉智收获
[01:01.000 --> 01:08.000] 一頓操作猛如虎 屏幕輸出2.5
[01:20.000 --> 01:22.000] 強刷等在不如不在
[01:31.000 --> 01:36.000] 上班摸魚 越摸越魚
[01:41.000 --> 01:42.000] 怎麼樣 好吃嗎
[01:43.000 --> 01:45.000] 好吃好吃 太好吃了
[01:46.000 --> 01:49.000] 假如每個人頭上都戴了側晃泥
[01:51.000 --> 01:53.000] 這件衣服適合我嗎



[01:54.000 --> 01:56.000] 適合 特別好看





Embeddings嵌入是文本的数字表示，可用于衡量两段文本之间的相关性。嵌入对于搜索、聚类、推荐、异常检测和分类任务很有用。

pip install openai



openai api chat.completions.create -m gpt-4o-mini  -g user ceshiren.com是做什么的






Ceshiren.com 是一个专注于软件测试和开发的综合性平台，提供了一系列与自动化测试、性能测试、接口测试等相关的工具和资源。该网站致力于为测试人员和开发人员提供交流和学习的机会，包括技术文章、在线课程、工具下载等。它还可能有社区论坛，用户可以在这里分享经验、解决问题和讨论相关主题


通过编程语言的 Library 使用

from openai import OpenAI
client = OpenAI(
    # Defaults to os.environ.get("OPENAI_API_KEY")
)



chat_completion = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello world"}]
)
通过 Langchain 等框架

from langchain_openai import ChatOpenAI



llm = ChatOpenAI(
    model="gpt-4o",
    # api_key="...",  # if you prefer to pass api key in directly instaed of
    # base_url="...",
)
messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)


通过学社提供的 AI 服务

{"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "大写的是什么法国？"}, {"role": "assistant", "content": "巴黎，好像每个人都不知道这一点。"}]} {"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "谁写了 '罗密欧与朱丽叶'？"}, {"role": "assistant", "content": "哦，只是一个叫威廉·莎士比亚的人听说过他吗？"}]} {"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "距离有多远从地球到月球？"}, {"role": "assistant", "content": "大约 384,400 公里。这确实很重要。"}]}

{
  "messages": [
    { "role": "user", "content": "What is the weather in San Francisco?" },
    {
      "role": "assistant",
      "tool_calls": [
        {
          "id": "call_id",
          "type": "function",
          "function": {
            "name": "get_current_weather",
            "arguments": "{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}"
          }
        }
      ]
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_current_weather",
        "description": "Get the current weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and country, eg. San Francisco, USA"
            },
            "format": { "type": "string", "enum": ["celsius", "fahrenheit"] }
          },
          "required": ["location", "format"]
        }
      }
    }
  ]
}

from openai import OpenAI
client = OpenAI()



completion = client.chat.completions.create(
  model="ft:gpt-4o-mini:my-org:custom_suffix:id",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)
print(completion.choices[0].message)