Since I am working on a client/server application in which our pc serves as “server” and “user/client” can run our website by our published link. So we want to make a website where user can upload their dataset and can split it into train , validate and test folders.
Since we have already tried directory path to take input dataset but it gives an error and user failed to split their dataset then we tried fileloader so user can upload zip file and perform splitting but it also fails even we extracted it but its also requires path of extracted folder and we again stuck their and when we directly use zip file it gives an bytes or string error.
So can anyone please suggest me what should I do , so that my client can easily upload entire folder without using directory path to perform splitting .
Note: Is Fileloader can able to upload entire folder?
Anvil may not have a custom-fit solution for you, but it does give you the tools to build this kind of functionality, if you first take the time to understand how they work and how they can be linked together using everyday Python features. This may be a good starting point:
As for
I see an information problem: each PC contains thousands of folders. If the client does not specify a folder name, then how will your Anvil code know which of these to upload from?