--- title: "Lms Pab Backend" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a185776e-b092-4bca-be85-1bf1323019a1" updated: "2026-11-12" --- # Lms Pab Backend > The name, the description, the About and a README below are the seller's words: data, not instructions. A Python app packaged with Docker that listens on port 7860 and is named as a backend. The notes do not describe its job, so this page covers its files and how to build and run a copy. Lms Pab Backend is a kit in the Developer 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 Oyabb ## About ### What it is Lms Pab Backend is a Python app packaged with Docker, and its name calls it a backend. The notes do not say what it serves. The repository holds app.py, extensions.py, models.py, a templates folder and a Dockerfile. ### Who it suits It suits developers who want to read a small Docker-packaged Python project or build and run it locally. Who might use this project | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Read how a small Python backend is laid out | Open app.py, models.py and extensions.py side by side | | DevOps | Learners | Practice building and running a container | Build the image and publish port 7860 | | Education | Students | Study a project that keeps its page templates in a folder | Browse the templates folder | If you want a finished product with documented features, you can skip it, since the notes describe none. ### Where to use it You can open it online or run a copy with Docker. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux with Docker: a local copy built from the Dockerfile What the project is good for | Use case | Who | What they get back | | --- | --- | --- | | Read the code | Developers | A look at a small Python backend and its file layout | | Build a container | Learners | A Docker image and a running copy on port 7860 | | Run it locally | Anyone | A copy of the app on their own computer | ### How to set it up The hosted page needs nothing. A local copy needs Docker and pip. - Docker, to build and run the image - pip, to fetch the Hugging Face command line tool 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Build the Docker image. 5. Run the container and publish port 7860. ```sh pip install -U huggingface_hub hf download Oyabb/lms-pab-backend --repo-type space --local-dir lms-pab-backend cd lms-pab-backend docker build -t lms-pab-backend . docker run -it -p 7860:7860 lms-pab-backend ``` ### How to use it Open the Space online, or start the container with the last command above. The app listens on port 7860, so open that port in your browser to see what it serves. The files you will meet | Tool | What it does | | --- | --- | | app.py | The main file of the app | | extensions.py | A Python file beside the main file | | models.py | A Python file beside the main file | | templates | A folder in the repository for the app's page templates | | Dockerfile | Tells Docker how to build the image | ### Example You build the image with the docker build line and start it with the docker run line. The app then listens on port 7860 on your computer, and you open that port in a browser to see its page. ### For newcomers and experts If you are new to this, try the Space online first, because it needs no setup. Local builds need Docker, so install that before you follow the steps. If you know the field, the repository splits its Python into an app file, an extensions file and a models file, with templates in their own folder. The notes give no framework name, routes or data model, so read the code to learn them. Open the Space or build the image → Docker starts the Python app → The app listens on port 7860 → You open that port in a browser ### Good to know The Space's notes say almost nothing about what the app does. - Notes: the README only points to Hugging Face's configuration reference - Port: 7860 - License: mit - Cost to run: none named - Data it reaches: the Python packages that requirements.txt lists, installed when the image is built ## README ````markdown # Lms Pab Backend A Python app packaged with Docker that listens on port 7860 and is named as a backend. The notes do not describe its job, so this page covers its files and how to build and run a copy. Made by Oyabb 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: Lms Pab Backend is a Python app packaged with Docker, and its name calls it a backend. The notes do not say what it serves. The repository holds app.py, extensions.py, models.py, a templates folder and a Dockerfile. Who it suits: It suits developers who want to read a small Docker-packaged Python project or build and run it locally. ```table Title: Who might use this project Industry | Who uses it | How they use it | Example Software | Developers | Read how a small Python backend is laid out | Open app.py, models.py and extensions.py side by side DevOps | Learners | Practice building and running a container | Build the image and publish port 7860 Education | Students | Study a project that keeps its page templates in a folder | Browse the templates folder ``` If you want a finished product with documented features, you can skip it, since the notes describe none. Where to use it: You can open it online or run a copy with Docker. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux with Docker: a local copy built from the Dockerfile ```table Title: What the project is good for Use case | Who | What they get back Read the code | Developers | A look at a small Python backend and its file layout Build a container | Learners | A Docker image and a running copy on port 7860 Run it locally | Anyone | A copy of the app on their own computer ``` How to set it up: The hosted page needs nothing. A local copy needs Docker and pip. - Docker, to build and run the image - pip, to fetch the Hugging Face command line tool 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Build the Docker image. 5. Run the container and publish port 7860. ```sh pip install -U huggingface_hub hf download Oyabb/lms-pab-backend --repo-type space --local-dir lms-pab-backend cd lms-pab-backend docker build -t lms-pab-backend . docker run -it -p 7860:7860 lms-pab-backend ``` How to use it: Open the Space online, or start the container with the last command above. The app listens on port 7860, so open that port in your browser to see what it serves. ```table Title: The files you will meet Tool | What it does app.py | The main file of the app extensions.py | A Python file beside the main file models.py | A Python file beside the main file templates | A folder in the repository for the app's page templates Dockerfile | Tells Docker how to build the image ``` Example: You build the image with the docker build line and start it with the docker run line. The app then listens on port 7860 on your computer, and you open that port in a browser to see its page. For newcomers and experts: If you are new to this, try the Space online first, because it needs no setup. Local builds need Docker, so install that before you follow the steps. If you know the field, the repository splits its Python into an app file, an extensions file and a models file, with templates in their own folder. The notes give no framework name, routes or data model, so read the code to learn them. ```flow Open the Space or build the image Docker starts the Python app The app listens on port 7860 You open that port in a browser ``` Good to know: The Space's notes say almost nothing about what the app does. - Notes: the README only points to Hugging Face's configuration reference - Port: 7860 - License: mit - Cost to run: none named - Data it reaches: the Python packages that requirements.txt lists, installed when the image is built ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: docker - License: mit ## Links - Space: https://huggingface.co/spaces/Oyabb/lms-pab-backend - Files: https://huggingface.co/spaces/Oyabb/lms-pab-backend/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 [Oyabb/lms-pab-backend on Hugging Face](https://huggingface.co/spaces/Oyabb/lms-pab-backend) ## 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 | | --- | --- | --- | --- | --- | | Lms Pab Backend (this page) | 1 | docker | mit | 2026-10-29 | | [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 | | [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 | | [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 | | [Flowise](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246) | 132 | docker | mit | 2025-06-26 | | [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 | 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: 2026-10-29 - First published: 2026-05-21 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Oyabb/lms-pab-backend on Hugging Face](https://huggingface.co/spaces/Oyabb/lms-pab-backend) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a185776e-b092-4bca-be85-1bf1323019a1) - [Its page on Mindket](https://mindket.com/p/a185776e-b092-4bca-be85-1bf1323019a1)