53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
import json
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import logging
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import time
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from fastapi import APIRouter, HTTPException
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from app.schemas.prompt_generation import PromptGenerationImageModel, ImageRequest
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from app.schemas.response_template import ResponseModel
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from app.service.prompt_generation.chatgpt_for_translation import get_translation_from_llama3, \
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get_prompt_from_image
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router = APIRouter()
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logger = logging.getLogger()
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@router.post("/translateToEN")
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def prompt_generation(request_data: PromptGenerationImageModel):
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"""
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翻译prompt接口
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创建一个具有以下参数的请求体:
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- **text**: 待翻译语句
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示例参数：
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{
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"text": "你好"
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}
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"""
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try:
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logger.info(f"prompt_generation request item is : @@@@@@:{request_data}")
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data = get_translation_from_llama3(request_data.text)
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logger.info(f"prompt_generation response @@@@@@:{data}")
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except Exception as e:
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logger.warning(f"prompt_generation Run Exception @@@@@@:{e}")
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raise HTTPException(status_code=404, detail=str(e))
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return ResponseModel(data=data)
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@router.post("/img2prompt")
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def get_prompt_from_img(img: ImageRequest):
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"""
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自动识别图片并输出为prompt
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:param img: 图片的minio地址
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:return: 图片的文字描述
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"""
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text = ("Please describe the clothing in the image and provide a line art description of the outfit. "
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"The description should allow for the reconstruction of the corresponding line art based on the details "
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"given.")
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logger.info(f"get_prompt_from_img request item is : @@@@@@:{img}")
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description = get_prompt_from_image(img, text)
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logger.info(f"生成的图片描述 response @@@@@@:{description}")
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return description
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