通过调用各种大模型可以完成对文生文，文生图，图片理解，文生视频，音频识别，文转音频等需求。

#方法一
import os
from openai import OpenAI

# 初始化客户端
client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

# 构造请求
completion = client.chat.completions.create(
    model="qwen-vl-max-latest",  # 使用支持图像理解的模型
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "image_url", "image_url": {"url": "https://wx3.sinaimg.cn/mw690/006i0nC8ly1hss7s32z03j31da2yo1is.jpg"}},
                {"type": "text", "text": "用20个字左右来描写图片里的内容"},
            ],
        }
    ],
)

# 输出结果
print(completion.choices[0].message.content)


#方法二
from openai import OpenAI

# 初始化客户端（直接写入API_KEY）
client = OpenAI(
    api_key="替换为你的实际API_KEY", 
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

# 构造请求
completion = client.chat.completions.create(
    model="qwen-vl-max-latest",  # 使用支持图像理解的模型
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "image_url", "image_url": {"url": "https://wx3.sinaimg.cn/mw690/006i0nC8ly1hss7s32z03j31da2yo1is.jpg"}},
                {"type": "text", "text": "用20个字左右来描写图片里的内容"},
            ],
        }
    ],
)

# 输出结果
print(completion.choices[0].message.content)

#方法三 识别本地图片
import base64
from openai import OpenAI

def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

client = OpenAI(
    api_key="your-api",
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

base64_image = encode_image("1.jpg")


# 构造请求
completion = client.chat.completions.create(
    model="qwen-vl-max-latest",  # 使用支持图像理解的模型
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/jpeg;base64,{base64_image}"  # 指定图片格式（如 jpeg/png）
                    },
                },
                {"type": "text", "text": "什么风格的室内设计"},
            ],
        }
    ],
)

# 输出结果
print(completion.choices[0].message.content)