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29 lines
1009 B
29 lines
1009 B
import time # 导入 time 模块
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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=MODEL_API_KEY,
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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)
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# 图片 URL
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image_url = 'https://ylt.oss-cn-hangzhou.aliyuncs.com/Temp/james.png'
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# 创建流式请求
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completion = client.chat.completions.create(
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model="qwen-vl-plus", # 使用 qwen-vl-plus 模型
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messages=[{"role": "user", "content": [
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{"type": "text", "text": "这是什么"},
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{"type": "image_url", "image_url": {"url": image_url}}
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]}],
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stream=True # 启用流式输出
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)
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# 流式输出结果
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print("流式输出结果：")
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for chunk in completion:
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if chunk.choices[0].delta.content is not None:
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for char in chunk.choices[0].delta.content: # 逐个字符输出
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print(char, end="", flush=True) # 逐个字符输出，不换行
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time.sleep(0.1) # 控制输出速度，延迟 0.1 秒 |