45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
import asyncio
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import base64
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from openai import AsyncOpenAI
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from bytedance.volcengine_aicc_sdk.secure_http_client import AICCConfig, AsyncSecureHttpClient
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ep_name = "ep-20260721154333-fre3bey"
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api_key = "1363bf65-da9e-407b-b074-73fb9748ed67"
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base_url= "https://sd77a0f4ummt3i4vnems0.apigateway-cn-beijing.volceapi.com/api/v3"
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async def main():
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with open("./test.png", "rb") as f:
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image_base64 = base64.b64encode(f.read()).decode("utf-8")
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mime_type = "image/png"
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prompt = '请问图州是否有抽烟行为（注意请仔细检查是否为嘴叼吸管造成的误报），若有请以该格式返回 {"result": "true", bbox: [[x1, y1, x2, y2],...]}，若无则返回{"result": "false", bbox: []}'
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image_url", "image_url": f"data:{mime_type};base64,{image_base64}"},
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{"type": "text", "text": prompt}
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]
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}
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]
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aicc_config = AICCConfig(ra_url=base_url, auth_token=api_key)
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client = AsyncOpenAI(
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api_key=api_key,
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base_url=base_url,
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http_client=AsyncSecureHttpClient(aicc_config=aicc_config),
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)
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# 问答非流式，通过 extra_body 禁用思考模式
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response = await client.chat.completions.create(
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model=ep_name,
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messages=messages, # type: ignore
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extra_body={"thinking": {"type": "disabled"}}
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)
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result = response.choices[0].message.content
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print(result)
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if __name__ == "__main__":
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asyncio.run(main())
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