Day50--晚课 API调用实战:用Python调用AI

python3 --version

pip3 install openai

from openai import OpenAI

# 创建客户端（替换为你自己的API Key）
client = OpenAI(
    api_key="sk-你的API Key粘贴到这里",
    base_url="https://api.deepseek.com"  # DeepSeek的地址
)

# 发送问题
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "user", "content": "用一句话解释什么是API"}
    ]
)

# 打印回答
print(response.choices[0].message.content)

python3 my_first_ai.py

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的Key",
    base_url="https://api.deepseek.com"
)

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        # 系统提示：设定AI角色
        {"role": "system", "content": "你是一位资深的Python编程教师，回答简洁，喜欢用类比解释概念。"},
        # 用户消息
        {"role": "user", "content": "for循环和while循环有什么区别？"}
    ]
)

print(response.choices[0].message.content)

# 对话历史
messages = [
    {"role": "system", "content": "你是一位健身教练"}
]

def chat(user_input):
    messages.append({"role": "user", "content": user_input})
    response = client.chat.completions.create(
        model="deepseek-chat",
        messages=messages
    )
    reply = response.choices[0].message.content
    messages.append({"role": "assistant", "content": reply})
    return reply

# 模拟对话
print("教练：", chat("我想减肥，该怎么开始？"))
print("教练：", chat("我每天只有30分钟"))
print("教练：", chat("能给我一个具体的周计划吗？"))

from openai import OpenAI

# DeepSeek —— 便宜、快、中文好
deepseek = OpenAI(api_key="sk-你的DeepSeek-Key", base_url="https://api.deepseek.com")

# 通义千问 —— 阿里出品、免费额度大
qwen = OpenAI(api_key="sk-你的通义Key", base_url="https://dashscope.aliyuncs.com/compatible-mode/v1")

# 月之暗面（Kimi）—— 长文本理解强
kimi = OpenAI(api_key="sk-你的Kimi-Key", base_url="https://api.moonshot.cn/v1")

# 同一个问题，看不同模型的回答
question = "Python的GIL是什么？用大白话解释"

for name, client, model in [
    ("DeepSeek", deepseek, "deepseek-chat"),
    ("通义千问", qwen, "qwen-plus"),
    ("Kimi", kimi, "moonshot-v1-8k"),
]:
    resp = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": question}],
        max_tokens=200
    )
    print(f"\n=== {name} ===")
    print(resp.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的Key",
    base_url="https://api.deepseek.com"
)

def polish_email(draft, tone="professional"):
    """润色邮件草稿

    参数：
        draft: 你的邮件草稿
        tone: 语气风格
            - professional: 正式商务
            - friendly: 友好亲切
            - concise: 简洁直奔主题
    """
    tone_map = {
        "professional": "正式、专业、用敬语",
        "friendly": "友好、亲切、适当加表情",
        "concise": "极简、直奔主题、不废话",
    }

    response = client.chat.completions.create(
        model="deepseek-chat",
        messages=[
            {"role": "system", "content": f"""你是一位邮件润色专家。
请将用户提供的邮件草稿润色为{tone_map.get(tone, tone)}的风格。
要求：
1. 保留原意，不添加虚构信息
2. 修正语法和用词
3. 优化结构，让逻辑更清晰
4. 返回润色后的邮件全文"""},
            {"role": "user", "content": f"请润色这封邮件：\n\n{draft}"}
        ],
        temperature=0.7
    )
    return response.choices[0].message.content


# 试一试
my_draft = """张总你好，上次开会说的那个项目合作的事情，我这边方案做好了，附件你看看，有问题随时找我。"""

print("=== 原始草稿 ===")
print(my_draft)
print("\n=== 正式商务版 ===")
print(polish_email(my_draft, "professional"))
print("\n=== 友好亲切版 ===")
print(polish_email(my_draft, "friendly"))
print("\n=== 极简版 ===")
print(polish_email(my_draft, "concise"))

📌 流程总结