nidhaloff
Joined 6 years ago
Karma
292
Submissions
57
Member since
Aug 24
A software engineer, who wants to improve the software world
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Comment · 4 years ago
The API is based on the deep-translator python package (https://github.com/nidhaloff/deep-translator).
It is one tool that supports multiple translators and therefore, very easy and convenient to use.
If you want to check the code, here is the link to the repo: https://github.com/nidhaloff/deep-translator-api
Comment · 5 years ago
Hi all, this is a work in progress that I wanted to share. The goal of this app is to store online in your app, which wine did you find good during a wine tasting session. I'm still working on new features. I just wanted to hear a feedback or criticism from you. Thanks in advance
Comment · 5 years ago
Hi, thanks sure it would be great to exchange information about other libraries. Mainly I'm looking for third party libs that I can integrate with igel for benchmarking or automate deployment. How can I contact you?
Comment · 5 years ago
Thanks for the feedback! When I first started the project, it was not thought for production. Just for fast prototyping and experimenting with no efforts at all. However, users liked the tool and started requesting more features including support for serving models and eventually deploying (e.g this issue https://github.com/nidhaloff/igel/issues/62)
I agree with your point of vue. However, igel is fairly new and evolving fast. Using igel to serve trained model is a new feature that was implemented in the new release so igel has a long way to go in order to be a solid product for production use.It will surely get more mature with time.
Finally, notice that I didn't recommend running it in production. Just mentioned that it is possible and takes no efforts at all. However, if the user generated a trained model then anything can be done with it from there. Technically, the user can implement his/her own server and use the model as wanted. Obviously, users should do that if they want more control.
Comment · 5 years ago
Hi, thanks for your feedback! you are right, the argument/parameter is actually yaml_path and not yaml_file. This is a typo in the docs/readme, thanks for this finding ;)
Comment · 5 years ago
Hi, thanks but how does this link to igel or to AI/ML
Comment · 5 years ago
Hi all,
Igel is a delightful tool to help you create, validate and use machine learning model (also in production) without writing code. You can use the integrated command line or the graphical interface.
Igel uses FastAPI and uvicorn to serve your trained model, due to their high performance.
Comment · 5 years ago
Thanks for the reply. Of course I'm not "expecting" or forcing companies to pay! It's more of I'm hoping or I hope for support in the future.
Also of course I know everything about open source licenses, so as I said I'm not forcing nothing. Thanks for your hints I will try to apply them and see if it would help ;)