--- title: "Qwen3 VL Demo" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/825dc3f0-2b87-4846-8e37-98d267fe1e5c" updated: "2026-11-12" --- # Qwen3 VL Demo > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo from the Qwen team for its Qwen3 VL vision-language family. Runs in your browser, or on your own computer with Python. Qwen3 VL Demo 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 Qwen ## About ### What it is This Space is a Gradio demo published by the Qwen team. Its name points to Qwen3 VL, the vision-language side of the Qwen3 family, and you open it in a browser to try it without setup. Its README holds only a configuration pointer, so the source gives no feature list. The repository has app.py, config.py, requirements.txt, an assets folder and a ui\_components folder. ### Who it suits It suits people who want to try a Qwen vision-language demo from a browser tab, and developers who want to read a Gradio app that splits its interface into separate components. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI development | Developers | Read app.py, config.py and the ui\_components folder | Learning how a larger Gradio demo is organised | | Research | Students and researchers | Open the page and try it with an image | Seeing how a vision-language model responds | | Design | Product designers | Study the interface the Qwen team built | Borrowing ideas for a similar demo | | Education | Teachers | Show the page in a class | Introducing what vision-language models do | Skip it if you need documented features, since the source describes none. ### Where to use it The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on Windows, macOS or Linux, running Python - Hugging Face's cpu-basic hardware, where the online Space runs | Use case | Who | What they get back | | --- | --- | --- | | Try the demo online | Anyone curious | A response in the browser page | | Study the app layout | Developers | A repository with a ui\_components folder | | Run a private copy | Developers | The same app on their own machine | ### How to set it up Online you only need a browser. A local copy needs these. - Python on Windows, macOS or Linux - The pip command 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 5.29.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download Qwen/Qwen3-VL-Demo --repo-type space --local-dir Qwen3-VL-Demo cd Qwen3-VL-Demo pip install gradio==5.29.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the command below in your copy and open the page the app serves. Then add an image or a message and send it. ```sh python app.py ``` ### Example You open the Space and give it a picture along with a question about it. The answer appears on the same page, though the source does not describe the exact controls. ### For newcomers and experts If you are new, open the Space's page and start with one picture and a short question. A simple case shows you what the demo can read. If you know the field, the repository separates interface pieces into a ui\_components folder and keeps settings in config.py. It uses Gradio 5.29.0 and runs on cpu-basic hardware at Hugging Face. The source names no model repository, so it does not say where the answers come from. Open the Space page or run app.py → Add an image or a message → The app handles the request → The response shows on the same page ### Good to know The source gives only the names and files above, so check the Space's page for what it can do before relying on it. - License: apache-2 - Cost to run: none named - Data it reaches: not stated in the source ## README ````markdown # Qwen3 VL Demo A Gradio demo from the Qwen team for its Qwen3 VL vision-language family. Runs in your browser, or on your own computer with Python. Made by Qwen 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 Space is a Gradio demo published by the Qwen team. Its name points to Qwen3 VL, the vision-language side of the Qwen3 family, and you open it in a browser to try it without setup. Its README holds only a configuration pointer, so the source gives no feature list. The repository has app.py, config.py, requirements.txt, an assets folder and a ui_components folder. Who it suits: It suits people who want to try a Qwen vision-language demo from a browser tab, and developers who want to read a Gradio app that splits its interface into separate components. ```table Industry | Who uses it | How they use it | Example AI development | Developers | Read app.py, config.py and the ui_components folder | Learning how a larger Gradio demo is organised Research | Students and researchers | Open the page and try it with an image | Seeing how a vision-language model responds Design | Product designers | Study the interface the Qwen team built | Borrowing ideas for a similar demo Education | Teachers | Show the page in a class | Introducing what vision-language models do ``` Skip it if you need documented features, since the source describes none. Where to use it: The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on Windows, macOS or Linux, running Python - Hugging Face's cpu-basic hardware, where the online Space runs ```table Use case | Who | What they get back Try the demo online | Anyone curious | A response in the browser page Study the app layout | Developers | A repository with a ui_components folder Run a private copy | Developers | The same app on their own machine ``` How to set it up: Online you only need a browser. A local copy needs these. - Python on Windows, macOS or Linux - The pip command 1. Install the huggingface_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 5.29.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download Qwen/Qwen3-VL-Demo --repo-type space --local-dir Qwen3-VL-Demo cd Qwen3-VL-Demo pip install gradio==5.29.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then add an image or a message and send it. ```sh python app.py ``` Example: You open the Space and give it a picture along with a question about it. The answer appears on the same page, though the source does not describe the exact controls. For newcomers and experts: If you are new, open the Space's page and start with one picture and a short question. A simple case shows you what the demo can read. If you know the field, the repository separates interface pieces into a ui_components folder and keeps settings in config.py. It uses Gradio 5.29.0 and runs on cpu-basic hardware at Hugging Face. The source names no model repository, so it does not say where the answers come from. ```flow Open the Space page or run app.py Add an image or a message The app handles the request The response shows on the same page ``` Good to know: The source gives only the names and files above, so check the Space's page for what it can do before relying on it. - License: apache-2 - Cost to run: none named - Data it reaches: not stated in the source ## On Hugging Face, 13 November 2026 - Likes: 479 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Qwen/Qwen3-VL-Demo - Files: https://huggingface.co/spaces/Qwen/Qwen3-VL-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 [Qwen/Qwen3-VL-Demo on Hugging Face](https://huggingface.co/spaces/Qwen/Qwen3-VL-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 | | --- | --- | --- | --- | --- | | Qwen3 VL Demo (this page) | 479 | gradio | apache-2.0 | 2025-09-24 | | [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: 2025-09-24 - First published: 2025-09-23 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Qwen/Qwen3-VL-Demo on Hugging Face](https://huggingface.co/spaces/Qwen/Qwen3-VL-Demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/825dc3f0-2b87-4846-8e37-98d267fe1e5c) - [Its page on Mindket](https://mindket.com/p/825dc3f0-2b87-4846-8e37-98d267fe1e5c)