LurisQA

LurisQA

Answers civil law questions in a chat window, using the fine-tuned LurisQA model in GGUF form. A Gradio app for law students, legal staff and developers building legal Q&A tools.

Made by AdityaMogare on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This is a chatbot for civil law questions, built with Gradio. It runs a fine-tuned model called LurisQA, stored in the GGUF format, which suits running on ordinary hardware. The page also calls it RAG-ready, which means retrieved text can be added to its prompts. It runs on the basic CPU tier at Hugging Face.

Who it suits: Law students and legal staff who want a quick first pointer on a civil law topic, and developers who want a small example of a legal chatbot around a GGUF model.

Industry | Who uses it | How they use it | Example
Legal | Law students | Ask a civil law question while studying | Ask what a legal term means
Legal | Paralegals | Get a first pointer before checking the sources | Ask about a topic, then verify the answer
Software | Developers | See how a GGUF model is wrapped in Gradio | Read app.py and reuse the layout
Education | Teachers | Show how a domain chatbot behaves | Demo it in a class on legal tech

Skip it if you need advice on a real case, since a chatbot answer is no substitute for a lawyer.

Where to use it:

• A web browser, on the Space's page at Hugging Face
• Your own computer, as a local copy, once Python 3.10 is installed

Use case | Who | What they get back
Ask a civil law question | Students and staff | A written answer from the fine-tuned model
Study the app | Developers | A small Gradio app that serves a GGUF model

How to set it up:

• Nothing at all if you only use the online Space
• Python 3.10 and pip, for a local copy
• The Python packages listed in requirements.txt

1. Open the Space's page at Hugging Face to use it online.
2. For a local copy, install the Hugging Face hub package and download the Space.
3. Move into the new folder and install Gradio at the pinned version.
4. Install the packages from requirements.txt.
5. Start the app with Python.

pip install -U huggingface_hub
hf download AdityaMogare/LurisQA --repo-type space --local-dir LurisQA
cd LurisQA
pip install gradio==5.0.1
pip install -r requirements.txt
python app.py

The repository is small: a README, app.py and requirements.txt. The page does not say how much memory a local run needs.

How to use it: Online, open the Space and type a civil law question into the chat. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands.

Tool | What it does
python app.py | Starts the chatbot on your computer

Example: You type a question about a civil law topic into the chat box. The chatbot replies with an answer from the fine-tuned model. You then check that answer against the law itself before you rely on it.

For newcomers and experts: If you are new, open the Space online and ask a plain question about one civil law idea. Treat the reply as a starting point and read the actual rules before acting.

If you know the field, the model is a fine-tune of its own, published as LurisQA in GGUF form. RAG-ready suggests documents can be retrieved and added to the prompt, but the page does not describe a retrieval setup, a data source or a jurisdiction.

You type a civil law question
The Gradio app passes it to the model
The GGUF model writes an answer
You read it and check it

Good to know:

• License: mit
• Cost to run: none named, and the Space sits on the basic CPU tier at Hugging Face
• Data it reaches: the questions you type, and the LurisQA model files
• Not for: advice on a real case, or a jurisdiction the page does not name

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/AdityaMogare/LurisQA
• Files: https://huggingface.co/spaces/AdityaMogare/LurisQA/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.