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import os
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from openai import OpenAI
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client = OpenAI(
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# 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",
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api_key='sk-f6da0c787eff4b0389e4ad03a35a911f',
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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)
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prompt = "请提取图片中的试题"
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#prompt += "1、需要Latex公式输出的，注意加上 $$ 或 $ 进行包含。"
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#prompt += "2、以中文数字开头的行，请忽律掉此行，比如 一、单项选择题 二、填空题 ..."
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#prompt += "3、输出格式： 【题型】xxx 【题目内容】 xxx 【答案】 xxxx 【解析】 xxxx。"
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completion = client.chat.completions.create(
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model="qwen-vl-ocr-latest",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": "https://pic1.zhimg.com/v2-c3d7f060bbf3f7c122319350044d8888_1440w.jpg",
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# 输入图像的最小像素阈值，小于该值图像会按原比例放大，直到总像素大于min_pixels
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"min_pixels": 28 * 28 * 4,
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# 输入图像的最大像素阈值，超过该值图像会按原比例缩小，直到总像素低于max_pixels
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"max_pixels": 28 * 28 * 8192
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},
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# qwen-vl-ocr-latest支持在以下text字段中传入Prompt，若未传入，则会使用默认的Prompt：Please output only the text content from the image without any additional descriptions or formatting.
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# 如调用qwen-vl-ocr-1028，模型会使用固定Prompt：Read all the text in the image.不支持用户在text中传入自定义Prompt
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{"type": "text",
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"text": prompt},
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]
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}
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])
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print(completion.choices[0].message.content)
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# 将返回的内容保存到 2、识别出结果.md 中
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with open('2、识别出结果.md', 'w', encoding='utf-8') as f:
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f.write(completion.choices[0].message.content)
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print("保存成功！")
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