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47 lines
1.4 KiB
47 lines
1.4 KiB
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# https://qwenlm.github.io/zh/blog/qwen2.5-vl-32b/
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from openai import OpenAI
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from WxMini.Milvus.Config.MulvusConfig import *
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client = OpenAI(
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api_key=MODELSCOPE_ACCESS_TOKEN,
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base_url="https://api-inference.modelscope.cn/v1"
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)
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# 提示词
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prompt = "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step."
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# 要解决的图片问题
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#img_url = 'https://qianwen-res.oss-cn-beijing.aliyuncs.com/QVQ/demo.png'
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# 答案=46
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#img_url='https://hzkc.oss-cn-beijing.aliyuncs.com/Temp/simple_math.jpeg'
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# 答案应该是80度
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img_url='https://hzkc.oss-cn-beijing.aliyuncs.com/Temp/hard_math.jpeg'
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response = client.chat.completions.create(
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#model="Qwen/QVQ-72B-Preview",
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model="Qwen/Qwen2.5-VL-32B-Instruct",
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messages=[
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{
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"role": "system",
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"content": [
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{"type": "text", "text": prompt}
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],
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},
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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": {"url": img_url}
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},
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{"type": "text", "text": "请使用中文回答：空白位置应该填入什么值?"},
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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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for chunk in response:
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print(chunk.choices[0].delta.content, end='', flush=True)
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