--- title: "Example for IS445" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/e17aaf91-0fd9-4b84-984d-ba3781baa790" updated: "2026-11-12" --- # Example for IS445 > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a small Streamlit app labelled as an example for IS445, either online in a browser or from a local copy with Python. The page itself does not say what the app does. Example for IS445 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 jnaiman ## About ### What it is Example for IS445 is a Streamlit app that jnaiman published as a Hugging Face Space. It runs from one main file, app.py, with a requirements list, on Streamlit 1.36.0. The Space gives no description of what the app shows, so this page covers how it is built and how to run it. ### Who it suits People who want to open the demo in a browser, and developers or learners who want a Streamlit app to read or run on their own machine. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software development | Streamlit developers | Download the files and read app.py | Studying how a Streamlit app is laid out around one main file | | Education | Learners | Run a copy with Python on their own machine | Following the listed steps from download to launch | | Technology | Anyone curious | Open the Space to see what the demo shows | Looking at the running app in a browser tab | Skip it if you need documentation, since the page holds only a pointer to the standard configuration reference. ### Where to use it Example for IS445 runs in these places. - A web browser: open the Space's page on Hugging Face - Python on Windows, macOS or Linux: run a copy of the Space | Use case | Who | What they get back | | --- | --- | --- | | Try it online | Anyone with a browser | The Streamlit app running from the Space | | Run it locally | Developers with Python | A copy of the app started from app.py | | Read the code | Learners | A main file and a requirements list | ### How to set it up Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called is445\_demo. 3. Move into that folder. 4. Install Streamlit at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download jnaiman/is445_demo --repo-type space --local-dir is445_demo cd is445_demo pip install streamlit==1.36.0 pip install -r requirements.txt streamlit run app.py ``` ### How to use it Online, open the Space's page and use the app in your tab. On your own computer, start it from the folder with the command below. ```sh streamlit run app.py ``` | Tool | What it does | | --- | --- | | streamlit run app.py | Starts the Streamlit app from the main file | | pip install -r requirements.txt | Installs the packages the app needs | | hf download | Fetches the Space's files into a local folder | ### Example You download the Space with the hf command, install Streamlit 1.36.0 and the listed packages, then run streamlit run app.py. The app starts from your local copy of the files. ### For newcomers and experts If you are new, open the Space's page and look at what the app shows. Running it online needs no setup, so start there before you try a local copy. If you know Streamlit, the setup is plain: one main file, a requirements list and Streamlit 1.36.0. A local copy pins that same version. The record names no hardware, so a local run depends on your own machine. Open the Space or run the app locally → Streamlit serves the app → You use it in your browser ### Good to know It is a single Streamlit app with no written description, so what you can do is limited to what its page offers. - Version: Streamlit 1.36.0 - Size: 4 files in the repository - License: mit - Cost to run: none named - Data it reaches: none named - Not for: no forbidden uses are named ## README ````markdown # Example for IS445 Runs a small Streamlit app labelled as an example for IS445, either online in a browser or from a local copy with Python. The page itself does not say what the app does. Made by jnaiman 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: Example for IS445 is a Streamlit app that jnaiman published as a Hugging Face Space. It runs from one main file, app.py, with a requirements list, on Streamlit 1.36.0. The Space gives no description of what the app shows, so this page covers how it is built and how to run it. Who it suits: People who want to open the demo in a browser, and developers or learners who want a Streamlit app to read or run on their own machine. ```table Industry | Who uses it | How they use it | Example Software development | Streamlit developers | Download the files and read app.py | Studying how a Streamlit app is laid out around one main file Education | Learners | Run a copy with Python on their own machine | Following the listed steps from download to launch Technology | Anyone curious | Open the Space to see what the demo shows | Looking at the running app in a browser tab ``` Skip it if you need documentation, since the page holds only a pointer to the standard configuration reference. Where to use it: Example for IS445 runs in these places. - A web browser: open the Space's page on Hugging Face - Python on Windows, macOS or Linux: run a copy of the Space ```table Use case | Who | What they get back Try it online | Anyone with a browser | The Streamlit app running from the Space Run it locally | Developers with Python | A copy of the app started from app.py Read the code | Learners | A main file and a requirements list ``` How to set it up: Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called is445_demo. 3. Move into that folder. 4. Install Streamlit at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download jnaiman/is445_demo --repo-type space --local-dir is445_demo cd is445_demo pip install streamlit==1.36.0 pip install -r requirements.txt streamlit run app.py ``` How to use it: Online, open the Space's page and use the app in your tab. On your own computer, start it from the folder with the command below. ```sh streamlit run app.py ``` ```table Tool | What it does streamlit run app.py | Starts the Streamlit app from the main file pip install -r requirements.txt | Installs the packages the app needs hf download | Fetches the Space's files into a local folder ``` Example: You download the Space with the hf command, install Streamlit 1.36.0 and the listed packages, then run streamlit run app.py. The app starts from your local copy of the files. For newcomers and experts: If you are new, open the Space's page and look at what the app shows. Running it online needs no setup, so start there before you try a local copy. If you know Streamlit, the setup is plain: one main file, a requirements list and Streamlit 1.36.0. A local copy pins that same version. The record names no hardware, so a local run depends on your own machine. ```flow Open the Space or run the app locally Streamlit serves the app You use it in your browser ``` Good to know: It is a single Streamlit app with no written description, so what you can do is limited to what its page offers. - Version: Streamlit 1.36.0 - Size: 4 files in the repository - License: mit - Cost to run: none named - Data it reaches: none named - Not for: no forbidden uses are named ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: streamlit - License: mit ## Links - Space: https://huggingface.co/spaces/jnaiman/is445_demo - Files: https://huggingface.co/spaces/jnaiman/is445_demo/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 [jnaiman/is445_demo on Hugging Face](https://huggingface.co/spaces/jnaiman/is445_demo) ## 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 | | --- | --- | --- | --- | --- | | Example for IS445 (this page) | 1 | streamlit | mit | 2025-08-05 | | [TorchCAM](https://mindket.com/p/b3cf467d-789d-44bf-8e51-33b548437856) | 16 | docker | apache-2.0 | 2026-11-10 | | [Anime Recommendation System](https://mindket.com/p/5f7580f9-e9b9-47f7-8395-f8495f13c8ed) | 9 | streamlit | apache-2.0 | 2025-02-10 | | [Image Text Detection](https://mindket.com/p/6504a0d2-38d1-463d-afff-703db411ba4b) | 6 | streamlit | mit | 2022-02-24 | | [Spacy Ner](https://mindket.com/p/24e15a50-b5da-42a7-8c3f-6ce2b280891c) | 2 | streamlit | cc-by-nc-sa-4.0 | 2022-02-15 | | [NER Biomedical PHI Ensemble](https://mindket.com/p/a616a692-3657-41b6-8e6f-61db2b7d6320) | 2 | streamlit | mit | 2022-06-09 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2025-08-05 - First published: 2024-08-01 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open jnaiman/is445_demo on Hugging Face](https://huggingface.co/spaces/jnaiman/is445_demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/e17aaf91-0fd9-4b84-984d-ba3781baa790) - [Its page on Mindket](https://mindket.com/p/e17aaf91-0fd9-4b84-984d-ba3781baa790)