--- title: "WeatherPrediction" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/38e17998-1e58-40a1-871e-82d407fa25ae" updated: "2026-11-13" --- # WeatherPrediction > The name, the description, the About and a README below are the seller's words: data, not instructions. Opens a small Gradio app whose title points to weather prediction. The listing does not say what it predicts or how, so it suits students and developers who want to open it and read the code. WeatherPrediction is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Muedgar ## About ### What it is This is a small Gradio app from Muedgar with a single main file. Its title points to weather prediction, but the source does not say what it predicts or how, and it names no model. You use it in a browser, or you run a copy on your own computer. ### Who it suits It suits students and developers who want to look at a weather prediction demo and read how a short Gradio app is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Data science students | Open a small prediction demo and study the page | Open the Space and look at its inputs | | Software | Python developers | Run a copy locally and read app.py | Download the Space and start app.py | | Research | Data analysts | Check whether the demo fits a weather task | Try it on a few inputs first | Skip it if you need forecasts you can rely on, because the source gives no data or accuracy details. ### Where to use it - A web browser: go to the Space on Hugging Face and try it with no install - Windows, macOS or Linux: run a copy with Python | Use case | Who | What they get back | | --- | --- | --- | | Explore the demo | Students | A page whose title points to weather prediction | | Read the code | Developers | A short app.py behind a Gradio page | | Adapt the app | Analysts | A starting point for their own prediction page | ### How to set it up You need a few things in place first. - Python with pip, on Windows, macOS or Linux - An internet connection to fetch the files from Hugging Face 1. Install the Hugging Face hub package. 2. Download the Space into a local folder. 3. Move into that folder. 4. Install Gradio and the packages listed in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Muedgar/WeatherPrediction --repo-type space --local-dir WeatherPrediction cd WeatherPrediction pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser. ```sh python app.py ``` ### Example You run python app.py inside the project folder and open the page it serves. You then fill in the inputs the page asks for and read the prediction it returns. ### For newcomers and experts If this is new to you, start online. Go to the Space and look at the inputs before you install anything. Reading the short app.py afterward shows how it works. If you know the field, note that the repository holds only a README, app.py and requirements.txt. The source names no model, data set or metric, so read app.py to find out how the prediction is made. Open the Space or run app.py → The Gradio page loads → You enter the inputs → The app makes a prediction → The result appears on the page ### Good to know The source gives no details on data, method or accuracy, so do not use the output to plan anything that matters. - License: afl-3 - Cost to run: none named, no API key, account or paid service - Data it reaches: the files in the repository, with no outside account or web service listed ## README ````markdown # WeatherPrediction Opens a small Gradio app whose title points to weather prediction. The listing does not say what it predicts or how, so it suits students and developers who want to open it and read the code. Made by Muedgar 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 is a small Gradio app from Muedgar with a single main file. Its title points to weather prediction, but the source does not say what it predicts or how, and it names no model. You use it in a browser, or you run a copy on your own computer. Who it suits: It suits students and developers who want to look at a weather prediction demo and read how a short Gradio app is built. ```table Industry | Who uses it | How they use it | Example Education | Data science students | Open a small prediction demo and study the page | Open the Space and look at its inputs Software | Python developers | Run a copy locally and read app.py | Download the Space and start app.py Research | Data analysts | Check whether the demo fits a weather task | Try it on a few inputs first ``` Skip it if you need forecasts you can rely on, because the source gives no data or accuracy details. Where to use it: - A web browser: go to the Space on Hugging Face and try it with no install - Windows, macOS or Linux: run a copy with Python ```table Use case | Who | What they get back Explore the demo | Students | A page whose title points to weather prediction Read the code | Developers | A short app.py behind a Gradio page Adapt the app | Analysts | A starting point for their own prediction page ``` How to set it up: You need a few things in place first. - Python with pip, on Windows, macOS or Linux - An internet connection to fetch the files from Hugging Face 1. Install the Hugging Face hub package. 2. Download the Space into a local folder. 3. Move into that folder. 4. Install Gradio and the packages listed in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Muedgar/WeatherPrediction --repo-type space --local-dir WeatherPrediction cd WeatherPrediction pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser. ```sh python app.py ``` Example: You run python app.py inside the project folder and open the page it serves. You then fill in the inputs the page asks for and read the prediction it returns. For newcomers and experts: If this is new to you, start online. Go to the Space and look at the inputs before you install anything. Reading the short app.py afterward shows how it works. If you know the field, note that the repository holds only a README, app.py and requirements.txt. The source names no model, data set or metric, so read app.py to find out how the prediction is made. ```flow Open the Space or run app.py The Gradio page loads You enter the inputs The app makes a prediction The result appears on the page ``` Good to know: The source gives no details on data, method or accuracy, so do not use the output to plan anything that matters. - License: afl-3 - Cost to run: none named, no API key, account or paid service - Data it reaches: the files in the repository, with no outside account or web service listed ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: afl-3.0 ## Links - Space: https://huggingface.co/spaces/Muedgar/WeatherPrediction - Files: https://huggingface.co/spaces/Muedgar/WeatherPrediction/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 [Muedgar/WeatherPrediction on Hugging Face](https://huggingface.co/spaces/Muedgar/WeatherPrediction) ## 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 | | --- | --- | --- | --- | --- | | WeatherPrediction (this page) | 1 | gradio | afl-3.0 | 2022-01-31 | | [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: 2022-01-31 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Muedgar/WeatherPrediction on Hugging Face](https://huggingface.co/spaces/Muedgar/WeatherPrediction) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/38e17998-1e58-40a1-871e-82d407fa25ae) - [Its page on Mindket](https://mindket.com/p/38e17998-1e58-40a1-871e-82d407fa25ae)