Recent comments in /f/coolgithubprojects

sanderspedro OP t1_jd95t66 wrote

Routr (v2) does not currently have a Web UI. However, you can explore its capabilities using the CTL. If you simply want to see it in action, consider launching the server with GitPod. Lastly, feel free to join our community. We are establishing a dedicated channel to assist new Routr users with onboarding.

https://github.com/fonoster/routr#deploying-in-development-mode-with-gitpod

https://discord.gg/mpWSRUhG7e

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raiyanyahya OP t1_jcmxn26 wrote

Yup. Its quite useful for people who deploy ui to sub domains.Also helps the reviewer of the PR to actually check how the UI looks before merging. Just like vercel gives you preview urls.

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blckshdw t1_jcmwktg wrote

Oh.. ok I’m dumb then, I thought it taking a screenshot of the PR.. I guess that’s useful if you’ve got a use case for something like that. Maybe auditors? They love asking for screenshots of text 😝

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raiyanyahya OP t1_jcmpuk2 wrote

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usc-ur OP t1_jcb5zvs wrote

We have also connected this tool with the [Awesome ChatGPT Prompts dataset](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts) and [repo](https://github.com/f/awesome-chatgpt-prompts) from Fatih Kadir Akın.
Our purpose is to connect all this data with the API and make the proccess **fully transparent** to the end user.

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usc-ur OP t1_jcb5ykg wrote

We have also connected this tool with the [Awesome ChatGPT Prompts dataset](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts) and [repo](https://github.com/f/awesome-chatgpt-prompts) from Fatih Kadir Akın.
Our purpose is to connect all this data with the API and make the proccess **fully transparent** to the end user.

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usc-ur OP t1_jca4ot7 wrote

Sure! The idea is that you create a language model from a given corpus (let's say BNC) and then you use a similarity measure, in this case, perplexity, but can be another one to test how well your sample (sentence) "fits" into the model distribution. Since we assume the distribution is correct, this allows us to identified malformed sentences. You can also check the paper here: https://www.cambridge.org/core/journals/natural-language-engineering/article/an-unsupervised-perplexitybased-method-for-boilerplate-removal/5E589D838F1D1E0736B4F52001150339#article

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