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# 创建环境
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conda create -n agent_camp3 python=3.10 -y
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# 激活环境
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conda activate agent_camp3
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# 安装 torch
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conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=12.1 -c pytorch -c nvidia -y
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# 安装其他依赖包
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pip install termcolor==2.4.0
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pip install lmdeploy==0.5.2
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# 创建目录以存放代码
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mkdir -p /root/project/agent_camp3
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cd /root/project/agent_camp3
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git clone https://github.com/InternLM/lagent.git
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cd lagent && git checkout 81e7ace && pip install -e . && cd ..
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pip install griffe==0.48.0
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# 加上这个
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pip install class_registry

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import json
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import requests
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from lagent.actions.base_action import BaseAction, tool_api
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from lagent.actions.parser import BaseParser, JsonParser
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from lagent.schema import ActionReturn, ActionStatusCode
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class MagicMaker(BaseAction):
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    styles_option = [
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        'dongman',  # 动漫
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        'guofeng',  # 国风
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        'xieshi',   # 写实
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        'youhua',   # 油画
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        'manghe',   # 盲盒
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    ]
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    aspect_ratio_options = [
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        '16:9', '4:3', '3:2', '1:1',
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        '2:3', '3:4', '9:16'
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    ]
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    def __init__(self,
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                 style='guofeng',
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                 aspect_ratio='4:3'):
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        super().__init__()
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        if style in self.styles_option:
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            self.style = style
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        else:
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            raise ValueError(f'The style must be one of {self.styles_option}')
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        if aspect_ratio in self.aspect_ratio_options:
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            self.aspect_ratio = aspect_ratio
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        else:
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            raise ValueError(f'The aspect ratio must be one of {aspect_ratio}')
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    @tool_api
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    def generate_image(self, keywords: str) -> dict:
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        """Run magicmaker and get the generated image according to the keywords.
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        Args:
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            keywords (:class:`str`): the keywords to generate image
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        Returns:
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            :class:`dict`: the generated image
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                * image (str): path to the generated image
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        """
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        try:
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            response = requests.post(
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                url='https://magicmaker.openxlab.org.cn/gw/edit-anything/api/v1/bff/sd/generate',
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                data=json.dumps({
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                    "official": True,
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                    "prompt": keywords,
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                    "style": self.style,
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                    "poseT": False,
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                    "aspectRatio": self.aspect_ratio
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                }),
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                headers={'content-type': 'application/json'}
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            )
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        except Exception as exc:
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            return ActionReturn(
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                errmsg=f'MagicMaker exception: {exc}',
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                state=ActionStatusCode.HTTP_ERROR)
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        image_url = response.json()['data']['imgUrl']
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        return {'image': image_url}