Mindket

WeatherPrediction

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python with pip, on Windows, macOS or Linux
  • An internet connection to fetch the files from Hugging Face
Runs in
  • 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
Start with
pip install -U huggingface_hub
hf download Muedgar/WeatherPrediction --repo-type space --local-dir WeatherPrediction
cd WeatherPrediction

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

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.

IndustryWho uses itHow they use itExample
EducationData science studentsOpen a small prediction demo and study the pageOpen the Space and look at its inputs
SoftwarePython developersRun a copy locally and read app.pyDownload the Space and start app.py
ResearchData analystsCheck whether the demo fits a weather taskTry 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 caseWhoWhat they get back
Explore the demoStudentsA page whose title points to weather prediction
Read the codeDevelopersA short app.py behind a Gradio page
Adapt the appAnalystsA 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.
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.

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.

  1. Open the Space or run app.py
  2. The Gradio page loads
  3. You enter the inputs
  4. The app makes a prediction
  5. 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 and files

README

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.

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.
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.

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

On Hugging Face, 13 November 2026

  • Likes: 1
  • Built with: gradio
  • License: afl-3.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
WeatherPrediction This page1gradioafl-3.0
Open VLM LeaderboardShares gradio1,034gradioapache-2.0
Face SwapShares gradio808gradiocc-by-nc-sa-4.0
TTS Spaces ArenaShares gradio493gradiozlib
Depth Anything 3Shares gradio490gradiocc-by-nc-4.0
BLIPShares gradio431gradiobsd-3-clause
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

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