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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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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://img.alicdn.com/imgextra/i2/O1CN01ktT8451iQutqReELT_!!6000000004408-0-tps-689-487.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": "请提取车票图像中的发票号码、车次、起始站、终点站、发车日期和时间点、座位号、席别类型、票价、身份证号码、购票人姓名。要求准确无误的提取上述关键信息、不要遗漏和捏造虚假信息，模糊或者强光遮挡的单个文字可以用英文问号?代替。返回数据格式以json方式输出，格式为：{'发票号码'：'xxx', '车次'：'xxx', '起始站'：'xxx', '终点站'：'xxx', '发车日期和时间点'：'xxx', '座位号'：'xxx', '席别类型'：'xxx','票价':'xxx', '身份证号码'：'xxx', '购票人姓名'：'xxx'"},
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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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