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Good morning,
I am a first year intern at a French engineering school and for my internship I have to work on the Klarna dataset to which you contributed and that is why I would like some clarifications from you.
Indeed, once a model is trained, I would like to be able to recognize the position of important elements (add to cart, cart, ...)
of any page even if it does not have the "ai-klarna" tag but for the moment I am blocked because without these tags, it does not want to build a DataTree for me.
Have you done similar things or can you explain to me a little more what the whole project actually does.
For example, how are the elements-metadata.json files created (can I generalize these files to any e-commerce site)? After running train.py, how did you use your model? Is Fasttext_to_pickle_script.py useful because it doesn't want to run on my machine (although I tried but it won't)?
Thank you for your future response and sorry if the questions are a little naive (I'm a beginner and I have to figure it out on my own)
Sincerely,
Noam CATHERINE