--- title: "Draw2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/31d38356-191c-4e04-8028-761451681622" updated: "2026-11-12" --- # Draw2 > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that bundles its own PyTorch model file and a list of class names, built to try in a browser. Its README gives no description, so the page shows what it does. Draw2 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 abidlabs ## About ### What it is Draw2 is a Gradio app published as a Hugging Face Space. The repository holds app.py, a class\_names.txt list and a pytorch\_model.bin file, which points to a PyTorch model that sorts input into named classes. The README gives no description beyond its settings. ### Who it suits It suits people who want to try a small model-backed Gradio page, and learners who want to see how a saved model and a class list sit beside an app file. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | Students | Read app.py to see how the model file and class list are used | Download the Space and open app.py | | Software | Python developers | Use the repository as a layout for a model demo | Copy the file structure for their own Space | | Education | Instructors | Show how a trained model becomes a web page | Run the Space in a lesson | Anyone who needs documented inputs, outputs or accuracy can skip it, since the README gives none. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Try the app online | Anyone curious | The Gradio page running in the browser with nothing to install | | Study a model demo layout | Learners | An app file, a class list and a model file in one small repository | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - The packages in requirements.txt, plus Gradio 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called draw2. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download abidlabs/draw2 --repo-type space --local-dir draw2 cd draw2 pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face and use the page that loads. For a local copy, run python app.py in the folder and open the page it starts. ### Example You run python app.py inside the draw2 folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. ### For newcomers and experts If you are new, open the Space page first. It shows what the app asks for and what it gives back, with nothing to install. If you know machine learning, the repository bundles its own weights in pytorch\_model.bin and a class\_names.txt label list, so the app does not name an outside model. How the model was trained and how well it works are not stated. Open the Space or run python app.py → app.py loads the model and class names → Gradio shows the page in your browser ### Good to know - The README gives no description, so the exact input and output are clear only on the page - It needs Gradio and the packages in requirements.txt - License: apache-2 - Cost to run: none named - Data it reaches: a model file and class list in its own repository ## README ````markdown # Draw2 A Gradio app that bundles its own PyTorch model file and a list of class names, built to try in a browser. Its README gives no description, so the page shows what it does. Made by abidlabs 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: Draw2 is a Gradio app published as a Hugging Face Space. The repository holds app.py, a class_names.txt list and a pytorch_model.bin file, which points to a PyTorch model that sorts input into named classes. The README gives no description beyond its settings. Who it suits: It suits people who want to try a small model-backed Gradio page, and learners who want to see how a saved model and a class list sit beside an app file. ```table Industry | Who uses it | How they use it | Example Machine learning | Students | Read app.py to see how the model file and class list are used | Download the Space and open app.py Software | Python developers | Use the repository as a layout for a model demo | Copy the file structure for their own Space Education | Instructors | Show how a trained model becomes a web page | Run the Space in a lesson ``` Anyone who needs documented inputs, outputs or accuracy can skip it, since the README gives none. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Try the app online | Anyone curious | The Gradio page running in the browser with nothing to install Study a model demo layout | Learners | An app file, a class list and a model file in one small repository ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - The packages in requirements.txt, plus Gradio 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called draw2. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download abidlabs/draw2 --repo-type space --local-dir draw2 cd draw2 pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face and use the page that loads. For a local copy, run python app.py in the folder and open the page it starts. Example: You run python app.py inside the draw2 folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. For newcomers and experts: If you are new, open the Space page first. It shows what the app asks for and what it gives back, with nothing to install. If you know machine learning, the repository bundles its own weights in pytorch_model.bin and a class_names.txt label list, so the app does not name an outside model. How the model was trained and how well it works are not stated. ```flow Open the Space or run python app.py app.py loads the model and class names Gradio shows the page in your browser ``` Good to know: - The README gives no description, so the exact input and output are clear only on the page - It needs Gradio and the packages in requirements.txt - License: apache-2 - Cost to run: none named - Data it reaches: a model file and class list in its own repository ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/abidlabs/draw2 - Files: https://huggingface.co/spaces/abidlabs/draw2/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 [abidlabs/draw2 on Hugging Face](https://huggingface.co/spaces/abidlabs/draw2) ## 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 | | --- | --- | --- | --- | --- | | Draw2 (this page) | 0 | gradio | apache-2.0 | 2022-02-03 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | 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: 2022-02-03 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open abidlabs/draw2 on Hugging Face](https://huggingface.co/spaces/abidlabs/draw2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/31d38356-191c-4e04-8028-761451681622) - [Its page on Mindket](https://mindket.com/p/31d38356-191c-4e04-8028-761451681622)