71 lines
2.6 KiB
Python
71 lines
2.6 KiB
Python
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from openai import OpenAI
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from Config.Config import ALY_LLM_BASE_URL, ALY_LLM_API_KEY
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# 初始化OpenAI客户端
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client = OpenAI(
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api_key=ALY_LLM_API_KEY,
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base_url=ALY_LLM_BASE_URL
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)
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reasoning_content = "" # 定义完整思考过程
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answer_content = "" # 定义完整回复
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is_answering = False # 判断是否结束思考过程并开始回复
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prompt = """
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你是一个严谨的数学助手，请将以下初中几何题进行描述，需包含：
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【1】有哪些主体元素？比如 直角等腰三角形，等腰三角形，直角三角形，都有哪些，先列举大的，再列举小的。
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【2】这些主体元素的位置关系是什么样的，比如AB是斜边，角C是90度角，AB是水平的，适合做坐标系的X轴。
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【3】除主体元素外，其它的辅助元素有哪些？都应该如何描述清楚？
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"""
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# 创建聊天完成请求
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completion = client.chat.completions.create(
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model="qvq-max", # 此处以 qvq-max 为例，可按需更换模型名称
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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": {
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"url": "https://dsideal.obs.cn-north-1.myhuaweicloud.com/wb/math.jpg"
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},
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},
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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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stream=True,
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)
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print("\n" + "=" * 20 + "思考过程" + "=" * 20 + "\n")
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for chunk in completion:
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# 如果chunk.choices为空，则打印usage
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if not chunk.choices:
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print("\nUsage:")
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print(chunk.usage)
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else:
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delta = chunk.choices[0].delta
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# 打印思考过程
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if hasattr(delta, 'reasoning_content') and delta.reasoning_content != None:
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print(delta.reasoning_content, end='', flush=True)
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reasoning_content += delta.reasoning_content
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else:
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# 开始回复
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if delta.content != "" and is_answering is False:
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print("\n" + "=" * 20 + "完整回复" + "=" * 20 + "\n")
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is_answering = True
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# 打印回复过程
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print(delta.content, end='', flush=True)
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answer_content += delta.content
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# print("=" * 20 + "完整思考过程" + "=" * 20 + "\n")
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# print(reasoning_content)
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# print("=" * 20 + "完整回复" + "=" * 20 + "\n")
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# 保存成QvqResult.txt
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with open("QvqResult.txt", "w", encoding='utf-8') as f:
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f.write(answer_content)
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print("试题解析文本保存成功！")
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