Based on all of this, you did not actually complete the POC on-time. In the real world, if you fail to meet deadlines, there are consequences. There aren’t exceptions here. You could have honed it if you had finished it, but all you submitted was a README. Git commit history tells us you did not do this.
The other bit is you made no contact prior to yesterday, this is way after the deadline.
Hey @pri2si17, were you able to run my poc locally, is it still giving error? I am asking this because I tried to clone my own repo on different machine today, the github’s LFS(large file storage) was giving me trouble in downloading.(It works, maybe try to re install lfs and cloning the repo again.)(It could very well be my internet connection which is at fault.) Sorry for this hassle but the weights were more than 100 megs.
I am able to clone your code, but there is no proper instruction how to run it, The one from npm seems to be static site, I don’t know why you have used it. From Django, end point is not defined. Which url to hit?
Can you make a clean instruction, how to run it from beginning. I will follow exactly what is written in the Readme.
Hello @pri2si17
Please could you also tell me if you were able to clone my repo. I am having a similar problem with git-lfs. I am currently working on resolving it.
The endpoints are mentioned in libre_health/ml_api/urls.py. I am assuming the django backend is running. this is how we run the react app => cd gui(get inside the gui folder) => npm install (this will install all the dependencies) => npm start. (Please let me know if any error occurs).
I have made a react app because I wanted to provide a restful service, I thought it will be more versatile as in the future it could be extended as an app without any change in the backend, if you guys ever choose to go that route.
Hi @aishwhereya, I cloned your repo. It throws an import error as you used cv2 and there is no mention of opencv-python in your dependency. I would suggest you use a virtualenv and freeze your requirements.txt. Anyways I went ahead and installed cv2, Then another import error for PIL, I installed pillow aswell. Your app then threw some other error, So I intalled tensorflow==1.15 again(as your requirements.txt file has tf==2.1.0, so it uninstalls 1.15) and then it worked fine. Update your requirements.txt file and everything will be fine. I hope it helped.
She is using flask and I’m using Django and we don’t even use the same ml models. All the versions are different. But I understand your concern. I thought it would be good to help each other out as this is open source.
Thank you @SinghKislay for looking into it. Did my repo run correctly till the end? Github says that I have exhausted my git-lfs bandwidth so I am not sure if the large files got cloned. I’ll update the requirements regarding cv2 and PIL. My project requires both the versions of tensorflow to run correctly. For now, I am trying to build a docker image so that one does not have to go through all that process.
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