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Hi, if you have a problem with docker, maybe you don't have virtualization enabled? I guess. if so you can look for example here forums.docker.com/t/hardware-assisted-virtualization-and-data-execution-protection-must-be-enabled-in-the-bios/109073 By the way if you have ollama installed correctly it should work from the command line. only when it works start working on openWebUI.

if it asks for a code, it means that MFA was created, you can always log in to the root account and disable MFA for a specific account, if you do not have permissions, ask the admin or contact with AWS support

@@WojciechLepczynski thanks mate grate help since I am beginner🫂

thank you very much for the feedback, I tested several types of installation and this one was simple, convenient and worked well

Hi, as you can see in my video in 06:53 to use free tier I should choose t2.micro. More precisely you have 750 hours per month of Linux, RHEL, SLES or Windows t2.micro or t3.micro* instance dependent on region. More details about free tier can be found in the documentation aws.amazon.com/free/?all-free-tier&all-free-tier

Testowałem tylko na kilku skanach z poziomu CLI i muszę przyznać, że było ok, ale będę niedługo przeprowadzał bardziej zaawansowane testy i wtedy się okaże. Planuję dodać trochę automatyzacji i translację tekstu do tego. Jak skończę, to podzielę się wynikami na blogu albo w jakimś filmie.

Sure, no problem, in the video I showed an example of installation on an old laptop with 16GB of RAM, i7-6820HQ (8 CPUs) 2.7GHz with NVIDIA Quadro M2000M graphics card(4GB Display Memory & 8GB Shared Memory), of course with Windows 10 Here you can find hardware requirements for llama 3.2 llamaimodel.com/requirements-3-2/ The parameters of my old laptop are ok but for small models, for larger ones it's better to use something stronger. Note that during the editing process the length of the video was reduced so some parts of the video are sped up. The purpose of the video was to show how to easily install and configure your own AI server at home. The speed of operation depends on what equipment you have and what model you choose. I hope I helped. Soon I will record a video showing how to generate images using AI - converting text to image and image to image.

the easiest way is to correct the addressing in one of the networks, you can also do something similar to what I did Implement NAT either in the AWS VPC or on the on-premises network to translate the overlapping IP addresses into a non-conflicting range

I didn't notice in the video that the error was displayed at the moment you wrote about. I logged into the local server - address localhost:3000. You need to create an account there, the first account you create will be the admin account. If you get an error, check if you performed the previous steps correctly. Depending on what error you get, it can mean many different things.

@@WojciechLepczynski Yep, but WHY an account if it's local ?????

@@joeking5211 it is local because you connect to your local server localhos:3000 that you just created and not to a server somewhere in the cloud When you create an account, you will see in the admin panel that there is only one account that you created, of course you can create more accounts on your local server. If you want to be 100% sure that it is local, disconnect your computer from the internet, connect to localhost:3000 and then create an account, you will see that everything will work even without network access, but you will then have access only from the computer on which you installed OpenWebUI

Thanks for the feedback, soon another part about generating images from text

@@WojciechLepczynski That was indeed a question I forgot to ask! reading my mind!

I have installed this several times in different ways, and I will try to record the easiest way and discuss generating text to image and image to image. If you have any questions, please do not hesitate and thanks again for the feedback

@@WojciechLepczynski I have a nvidia quadro p2000 would like to use this gpu if possible :)

@@RamonddeVrede cool, by the way I've seen people also run AI servers without a graphics card, but the more powerful the hardware, the larger models you can use and the better it works

W filmie pokazuję kilka modeli, to zależy, od tego który wybierzesz. Nie sprawdzałem tego, ale widziałem informacje, że ludzie na forach narzekali na to, że modele są ocenzurowane. Są sposoby by to obejść, ale ja przy modelach które udostępniam dzieciakom nakładam jeszcze większe ograniczenia😅

Thank you, your support means so much to me 🥰

Thank you for the feedback! I'm glad the video was helpful and got you the info you needed quickly. I like keeping things as clear and effective as possible-glad it’s helpful for you!

I know how you feel, some time ago I had this problem too 😉

you simply enter one generated code first and then the second one, the next one that is generated after the previous one

thanks for the feedback 😄 new video on the channel soon, stay tuned

Thanks for the feedback 😄

Thanks for feedback

No problem, Thanks for the feedback

No problem, Thanks for the feedback

Thanks for the feedback. Of course you are right you don't need to use sudo in user data. Dependencies between services can be really annoying sometimes. I had software that didn't support the latest version of docker so I had to use version 23 or 24.

Yes, if the subnets have the same CIDR then you need to hide your subnet. You can create another NAT gateway for this purpose. It is also possible to use AWS PrivateLink or something else, but I focused here on NAT-GW.

Yes, I forgot about it at the beginning, but I plan to add links in the description or add a blog article with links in the near future

Dzięki

Thanks for your feedback

No problem, thanks for the feedback.

Thanks for the feedback, new video coming soon.

Thanks for the feedback 😁

Thanks for the feedback, new video coming soon.

Thanks for the feedback 😁

Thanks for your feedback.

Thanks for the feedback

Thanks, for feedback

No problem, thanks for feedback

Cool, thanks for the feedback.

Hi, When you create a folder in Amazon S3, S3 creates a 0-byte object with a key that’s set to the folder name that you provided. If the object is deleted and there are no files using that path, then the folder will also disappear. In the article on my blog, or in a comment to this article, I provided a way to create the folder again. lepczynski.it/en/aws_en/automatically-delete-old-files-from-aws-s3/

No problem, thanks for the feedback, new video coming soon.

No problem, thanks for the feedback, new video coming soon.

You can find the code and additional explanations related to this topic in the article on my blog lepczynski.it/en/aws_en/how-to-read-and-write-a-file-on-s3-using-lambda-function-and-boto3/ I hope this will help you.

@@WojciechLepczynski Thanks for replying but code not seems working

@@aadityathakur972 Today I created a new lambda function, copied the function code from my blog and I must say that everything works fine. I don't get any error. I don't know why you get this error, it's possible that your code is different from the one I shared on the blog. In such a case, I can only advise you to check the code again or contact AWS support because everything works fine for me. Others also wrote in the comments that everything works, so I assume that you are doing something differently, not as I described. Have a nice day and I hope you will fix the error that occurred in your lambda function.

No problem, thanks for the feedback, new video coming soon.

My first bonsai tree, I hope it will stay with me for a long time

I'm so glad the video was useful. Thank you for your feedback, another movie coming soon.