--- title: "FloraFind" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3d1178fc-e356-46c1-87f2-c5b9ef8f8a42" updated: "2026-11-12" --- # FloraFind > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a Gradio app in the browser, backed by model training, evaluation and prediction code, with saved checkpoints and example files. It suits students and developers who want to study or run a finished machine learning project. FloraFind 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 crashn ## About ### What it is FloraFind is a Gradio app that runs on Hugging Face Spaces and needs Python 3.13. Its repository holds scripts for data setup, model building, training, evaluation and prediction, plus saved checkpoints, example inputs and a recorded final project presentation. The README gives no description of what the model recognizes, so look at the app and its examples first. ### Who it suits It suits people who want to try a student machine learning project in the browser, or read its code to see how a training pipeline is laid out. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students and teachers | Study a finished final project from data setup through to prediction | A learner reads the scripts in order and compares them with the app's behavior. | | Software | Python developers | Download the repository and run the app on their own computer | A developer installs the packages and starts app.py to test the model locally. | | Hobby projects | Curious beginners | Open the Space page and try the app with nothing to install | A beginner opens the page in a browser and gives the app one input. | If you need a production service with support, skip it, because this is a project demo. ### Where to use it - A browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python 3.13 | Use case | Who | What they get back | | --- | --- | --- | | Try the demo online | Anyone | The app running in the browser with nothing to install | | Run a local copy | Developers | The same Gradio app on their own computer | | Read the code | Students | The scripts and folders behind the model, from data setup to prediction | ### How to set it up - Python 3.13 and pip on Windows, macOS or Linux - Enough disk space for a repository of 8336 files 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named FloraFind. 3. Move into that folder. 4. Install gradio at version 6.30.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download crashn/FloraFind --repo-type space --local-dir FloraFind cd FloraFind pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page and use the app there. On your own computer, run the command below from the FloraFind folder and use the app Gradio starts. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | The main file, which starts the Gradio app | | requirements.txt | Lists the Python packages the app needs | | checkpoints | A folder that, going by its name, holds saved model checkpoints | | examples | A folder that, going by its name, holds sample inputs to try | ### Example You download a local copy, run python app.py and open the app in your browser. You give it one of the sample inputs from the examples folder. The app answers with the model's output for that input. ### For newcomers and experts If you are new, open the Space's page first and give the app a single input to see what it returns. Once that works, try the local copy. If you know the field, the script names point to a training pipeline split into data setup, model building, an engine, training, evaluation and prediction. The repository is large at 8336 files, so the download takes longer than for a typical demo. Download the Space → Install gradio and the packages → Run app.py → Open the Gradio app in a browser ### Good to know - The README does not say what the app recognizes or how accurate it is - License: MIT - Cost to run: none named - Data it reaches: a local copy downloads the repository from Hugging Face, then works with the files in its folder ## README ````markdown # FloraFind Runs a Gradio app in the browser, backed by model training, evaluation and prediction code, with saved checkpoints and example files. It suits students and developers who want to study or run a finished machine learning project. Made by crashn 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: FloraFind is a Gradio app that runs on Hugging Face Spaces and needs Python 3.13. Its repository holds scripts for data setup, model building, training, evaluation and prediction, plus saved checkpoints, example inputs and a recorded final project presentation. The README gives no description of what the model recognizes, so look at the app and its examples first. Who it suits: It suits people who want to try a student machine learning project in the browser, or read its code to see how a training pipeline is laid out. ```table Industry | Who uses it | How they use it | Example Education | Students and teachers | Study a finished final project from data setup through to prediction | A learner reads the scripts in order and compares them with the app's behavior. Software | Python developers | Download the repository and run the app on their own computer | A developer installs the packages and starts app.py to test the model locally. Hobby projects | Curious beginners | Open the Space page and try the app with nothing to install | A beginner opens the page in a browser and gives the app one input. ``` If you need a production service with support, skip it, because this is a project demo. Where to use it: - A browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python 3.13 ```table Use case | Who | What they get back Try the demo online | Anyone | The app running in the browser with nothing to install Run a local copy | Developers | The same Gradio app on their own computer Read the code | Students | The scripts and folders behind the model, from data setup to prediction ``` How to set it up: - Python 3.13 and pip on Windows, macOS or Linux - Enough disk space for a repository of 8336 files 1. Install the huggingface_hub package. 2. Download the Space into a local folder named FloraFind. 3. Move into that folder. 4. Install gradio at version 6.30.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download crashn/FloraFind --repo-type space --local-dir FloraFind cd FloraFind pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page and use the app there. On your own computer, run the command below from the FloraFind folder and use the app Gradio starts. ```sh python app.py ``` ```table Tool | What it does app.py | The main file, which starts the Gradio app requirements.txt | Lists the Python packages the app needs checkpoints | A folder that, going by its name, holds saved model checkpoints examples | A folder that, going by its name, holds sample inputs to try ``` Example: You download a local copy, run python app.py and open the app in your browser. You give it one of the sample inputs from the examples folder. The app answers with the model's output for that input. For newcomers and experts: If you are new, open the Space's page first and give the app a single input to see what it returns. Once that works, try the local copy. If you know the field, the script names point to a training pipeline split into data setup, model building, an engine, training, evaluation and prediction. The repository is large at 8336 files, so the download takes longer than for a typical demo. ```flow Download the Space Install gradio and the packages Run app.py Open the Gradio app in a browser ``` Good to know: - The README does not say what the app recognizes or how accurate it is - License: MIT - Cost to run: none named - Data it reaches: a local copy downloads the repository from Hugging Face, then works with the files in its folder ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/crashn/FloraFind - Files: https://huggingface.co/spaces/crashn/FloraFind/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 [crashn/FloraFind on Hugging Face](https://huggingface.co/spaces/crashn/FloraFind) ## 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 | | --- | --- | --- | --- | --- | | FloraFind (this page) | 1 | gradio | mit | 2026-10-30 | | [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: 2026-10-30 - First published: 2026-10-21 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open crashn/FloraFind on Hugging Face](https://huggingface.co/spaces/crashn/FloraFind) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3d1178fc-e356-46c1-87f2-c5b9ef8f8a42) - [Its page on Mindket](https://mindket.com/p/3d1178fc-e356-46c1-87f2-c5b9ef8f8a42)