Comments (4)
请问有解决相关问题吗?
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Please Describe The Problem To Be Solved 感谢如此精彩的项目。出于效果比较的需要,我正在将这个代码尝试以gpt作为generator部署。
(Optional): Suggest A Solution 我看到scripts文件夹中的run_for_online脚本,功能上是支持api调用的模型参与部署的,所以我在此基础上尝试用这个文件去替换run_for_local来部署,理论上这样替换再docker build就能得到一个online版本的QAnything。但是我在docker build的过程中碰到了
COPY nltk_data /root/nltk_data COPY paddleocr /root/.paddleocr COPY qa_ensemble /opt/tritonserver/backends/qa_ensemble
https://github.dev/netease-youdao/QAnything/blob/65d84c693a7d8b2243f2b1eaac294246666f66f7/Dockerfile#L57-L59 这三个文件夹的缺失。其中我并不清楚qa_ensemble的由来,目前打算从现有的docker镜像中复制文件,但是直觉上说是不是有更好的方法来做到这件事情?因此提了这个issue来询问贵团队的解决方法,烦请解答!
这个run_for_online脚本需要所有服务全是API调用,而且有bug。运行run_for_online不需要docker build,只要把docker compose里的 command改了就行。我是通过改run_for_local实现的只换llm服务。
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同问,其实就是如何构建自己的镜像,而不是每次都从官方下载。
from qanything.
是不是可以先运行它的镜像,然后把内容挂载到自己的目录,然后导出来
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