--- title: "Understanding Women" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2b061f1e-f102-4508-9b1f-556681893eeb" updated: "2026-11-12" --- # Understanding Women > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a saved model on pictures in a Gradio page, with three example images to try. The record does not say what it predicts, so open the Space to see its purpose. Understanding Women is a kit in the Research 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 GotAudio ## About ### What it is Understanding Women is a Gradio app built around a saved model file named export.pkl and three example images. The record does not say what the model predicts. The repository holds a README, the app file, the model file, the examples and a package list. ### Who it suits It suits people curious about small image-model demos, and developers who want a working layout to copy: an app file, a saved model and example pictures. The record gives no description of its purpose, so read the page before you rely on it. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students of machine learning | Study how a saved model is wrapped in a web page | Read app.py next to export.pkl | | Software | Python developers | Copy the folder layout for their own image demo | Swap the example pictures and the model file | | Hobby projects | Curious makers | Try the three example pictures | Click an example and read the output | You can skip it if you need a tool with documented goals. ### Where to use it - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Try the demo | Anyone | The model's output for an example picture | | Study the structure | Learners | A small app with a model file and examples | | Reuse as a base | Developers | A starting folder for their own image demo | ### How to set it up - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download GotAudio/Understanding-Women --repo-type space --local-dir Understanding-Women cd Understanding-Women pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The three example images are the quickest way to see what the app does. ```sh python app.py ``` ### Example You open the Space and pick one of the example images. The app runs its saved model on that picture and shows the result on the page. The record does not describe the output, so look at it yourself. ### For newcomers and experts A saved model is a file that holds what a program learned, so the app can use it without training again. Start by opening the Space and clicking an example picture. Nothing needs installing for that. If you know the field, the folder shows a common small-demo pattern: Gradio for the page, one exported model file, a few sample inputs. No metrics or training details are given, so you would have to inspect the files yourself. You pick or upload a picture → The Gradio page sends it to app.py → The saved model in export.pkl runs on it → The page shows the result ### Good to know - License: cc-by-4, as listed on the Space - Cost to run: none named - Data it reaches: the images you give it and the saved model file - Not for: the record names no exclusions, and gives no accuracy figures, so check results yourself ## README ````markdown # Understanding Women Runs a saved model on pictures in a Gradio page, with three example images to try. The record does not say what it predicts, so open the Space to see its purpose. Made by GotAudio 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: Understanding Women is a Gradio app built around a saved model file named export.pkl and three example images. The record does not say what the model predicts. The repository holds a README, the app file, the model file, the examples and a package list. Who it suits: It suits people curious about small image-model demos, and developers who want a working layout to copy: an app file, a saved model and example pictures. The record gives no description of its purpose, so read the page before you rely on it. ```table Industry | Who uses it | How they use it | Example Education | Students of machine learning | Study how a saved model is wrapped in a web page | Read app.py next to export.pkl Software | Python developers | Copy the folder layout for their own image demo | Swap the example pictures and the model file Hobby projects | Curious makers | Try the three example pictures | Click an example and read the output ``` You can skip it if you need a tool with documented goals. Where to use it: - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Try the demo | Anyone | The model's output for an example picture Study the structure | Learners | A small app with a model file and examples Reuse as a base | Developers | A starting folder for their own image demo ``` How to set it up: - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download GotAudio/Understanding-Women --repo-type space --local-dir Understanding-Women cd Understanding-Women pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The three example images are the quickest way to see what the app does. ```sh python app.py ``` Example: You open the Space and pick one of the example images. The app runs its saved model on that picture and shows the result on the page. The record does not describe the output, so look at it yourself. For newcomers and experts: A saved model is a file that holds what a program learned, so the app can use it without training again. Start by opening the Space and clicking an example picture. Nothing needs installing for that. If you know the field, the folder shows a common small-demo pattern: Gradio for the page, one exported model file, a few sample inputs. No metrics or training details are given, so you would have to inspect the files yourself. ```flow You pick or upload a picture The Gradio page sends it to app.py The saved model in export.pkl runs on it The page shows the result ``` Good to know: - License: cc-by-4, as listed on the Space - Cost to run: none named - Data it reaches: the images you give it and the saved model file - Not for: the record names no exclusions, and gives no accuracy figures, so check results yourself ## On Hugging Face, 13 November 2026 - Likes: 4 - Built with: gradio - License: cc-by-4.0 ## Links - Space: https://huggingface.co/spaces/GotAudio/Understanding-Women - Files: https://huggingface.co/spaces/GotAudio/Understanding-Women/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 [GotAudio/Understanding-Women on Hugging Face](https://huggingface.co/spaces/GotAudio/Understanding-Women) ## 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 | | --- | --- | --- | --- | --- | | Understanding Women (this page) | 4 | gradio | cc-by-4.0 | 2022-02-07 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | 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: 2022-02-07 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open GotAudio/Understanding-Women on Hugging Face](https://huggingface.co/spaces/GotAudio/Understanding-Women) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2b061f1e-f102-4508-9b1f-556681893eeb) - [Its page on Mindket](https://mindket.com/p/2b061f1e-f102-4508-9b1f-556681893eeb)