--- title: "LurisQA" kind: "Kit" category: "Legal" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b03a45a2-e99b-435d-80b3-6342ff40a63b" updated: "2026-11-12" --- # LurisQA > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. LurisQA is a kit in the Legal category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by AdityaMogare ## 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```table 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [AdityaMogare/LurisQA on Hugging Face](https://huggingface.co/spaces/AdityaMogare/LurisQA) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | LurisQA (this page) | 1 | gradio | mit | 2026-11-07 | | [AI Lawyer - Everyday Legal Help (India)](https://mindket.com/p/92db7b92-7e48-4cc8-a4f5-25951a3b5976) | 2 | gradio | mit | 2026-11-11 | | [Face Redaction](https://mindket.com/p/bb886492-cafe-4551-84e1-33cdc09abf1d) | 1 | gradio | mit | 2026-11-05 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-07 - First published: 2025-07-28 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open AdityaMogare/LurisQA on Hugging Face](https://huggingface.co/spaces/AdityaMogare/LurisQA) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b03a45a2-e99b-435d-80b3-6342ff40a63b) - [Its page on Mindket](https://mindket.com/p/b03a45a2-e99b-435d-80b3-6342ff40a63b)