nidhaloff
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
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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.
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.
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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 ;)
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Hi everyone,since software is my passion, I work partially (in my free time) on open source projects. Some are mine and maintained only by me for the moment and some other are just different contributions. I like open source and want to improve the software world.Long story short, I'm searching for possibilities to do this full time. I made my research and found that not only individuals but...
I wanted a tool where multiple translators are integrated and where I can get translations from different sources but only using one tool. I then tried to build a cross platform mobile app using python (which is not the best language for this, I know) https://github.com/nidhaloff/Translator-pp
Probably the best project I built/started last year is the machine learning package igel: https://github.com/nidhaloff/igel
I definitely think that there is a possibility to turn this project to a business. I would find it ideal if you can do both, turn it into a business and at the same time open source the code. Maybe you ll find a way. Good luck ;)
As a developer, I want to ask which programming languages did you used to build this & why. I think you didn't open sourced the tool or am I wrong?
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I started this project based on people's feedback on the igel tool. The project is still under heavy development. I just made a beta release yesterday. Stay tuned
Igel made it so far since the last release. Cross validation, hyperparameter search, interactive mode, automatic code generation and more features have been implemented. We also started working on a cross platform desktop app for igel. Stay tuned