AI_product_Description/test.py

import io
import numpy as np
from openai import OpenAI
import os
import base64
from PIL import Image

def image_to_base64(image):
    # 将Image对象转换为BytesIO对象
    image_io = io.BytesIO()
    image.save(image_io, format='PNG')
    image_io.seek(0)

    # 使用base64编码
    image_base64 = base64.b64encode(image_io.read()).decode('utf-8')

    return f"data:image/png;base64,{image_base64}"

def image_reader(image):
    """图片读取器,输出PIL.Image格式的图片"""
    if isinstance(image,str):
        if image.startswith("http"):
            return image
        else:
            image_path = image
        out_image = Image.open(image_path)
    elif isinstance(image,np.ndarray):
        out_image = Image.fromarray(image)
    else:
        out_image = image
    out_image=out_image.convert('RGB')
    base64_img=image_to_base64(out_image)
    return base64_img

#  base 64 编码格式
# def encode_image(image_path):
#     with open(image_path, "rb") as image_file:
#         return base64.b64encode(image_file.read()).decode("utf-8")
    



# 将xxxx/test.png替换为你本地图像的绝对路径
# base64_image = encode_image("/data/data/Mia/product_env_project/gen_sellpoint/企业微信截图_17372766091671.png")
img="/data/data/Mia/product_env_project/gen_sellpoint/扫描全能王 2025-03-12 15.12_01(1).jpg"
client = OpenAI(
    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key="sk-xxx"
    api_key='sk-04b63960983445f980d85ff185a17876',
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen-vl-max-latest",#
    messages=[
    	{
    	    "role": "system",
            "content": [{"type":"text","text": "You are a helpful assistant."}]},
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    # 需要注意，传入Base64，图像格式（即image/{format}）需要与支持的图片列表中的Content Type保持一致。"f"是字符串格式化的方法。
                    # PNG图像：  f"data:image/png;base64,{base64_image}"
                    # JPEG图像： f"data:image/jpeg;base64,{base64_image}"
                    # WEBP图像： f"data:image/webp;base64,{base64_image}"
                    "image_url": {"url": image_reader(img)}, 
                },
                {"type": "text", "text": "输入图片的字段信息，输出的时候有格式化一点"},
            ],
        }
    ],
)
print(completion.choices[0].message.content)


# client = OpenAI(
#     # 此为默认路径，您可根据业务所在地域进行配置
#     base_url="https://ark.cn-beijing.volces.com/api/v3",
#     # 从环境变量中获取您的 API Key。此为默认方式，您可根据需要进行修改
#     api_key='817dff39-5586-4f9b-acba-55004167c0b1',
# )

# response = client.chat.completions.create(
#     # 指定您创建的方舟推理接入点 ID，此处已帮您修改为您的推理接入点 ID
#     model="doubao-1-5-vision-pro-32k-250115",
#     messages=[
#         {
#             "role": "user",
#             "content": [
#                 {"type": "text", "text": "如果图片里有文字的话，请结合图片里的衣服和文本信息进行描述一下衣服，还要具体到衣服的风格"},
#                 {
#                     "type": "image_url",
#                     "image_url": {
#                         "url": image_reader(img)
#                     },
#                 },
#             ],
#         }
#     ],
# )

# print(response.choices[0])