Mindket

SehatAI - Pakistan Health Intelligence

Newversion 1 · updated

Overview

Offers a health-themed Gradio app for Pakistan that you open in the browser or run on your own computer. Suits curious users and developers who want to read its code.

SehatAI - Pakistan Health Intelligence 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 3.11 with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
Runs in
  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python 3.11
Start with
pip install -U huggingface_hub
hf download AreejNamwz/sehat-ai --repo-type space --local-dir sehat-ai
cd sehat-ai

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

SehatAI is a Gradio app on Hugging Face Spaces, subtitled Pakistan Health Intelligence. The page gives no description beyond that name, so what it does is only hinted at by its files. They include a data folder, a src folder, a media pipeline test, a sample audio file and a sample PDF report.

Who it suits

By its name, it suits people interested in health information tied to Pakistan, and developers who want to read a small Gradio project. The page does not say who it is meant for.

IndustryWho uses itHow they use itExample
Health informationCurious usersOpen the app to see what it offersLoad the Space and read the page's own labels
Public healthAnalystsLook at the project's data folderBrowse the data folder in the repository
SoftwareDevelopersRead how a Gradio app tests audio and media handlingOpen the media pipeline test file
EducationStudentsStudy a small health-themed AI appRun a copy locally and follow app.py

Skip it if you need documented features, since the source describes none.

Where to use it

  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python 3.11
Use caseWhoWhat they get back
Trying the appAnyone curiousWhatever the app returns for your input
Reading the codeDevelopersA Gradio project with a src folder and tests
Running locallyLearnersA copy of the app on your own computer

How to set it up

The online copy needs nothing. For a copy on your own computer, you need the following.

  • Python 3.11 with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub client.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install the Gradio version the Space pins.
  5. Install the remaining packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download AreejNamwz/sehat-ai --repo-type space --local-dir sehat-ai
cd sehat-ai
pip install gradio==5.9.1
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space's page and the app loads in your browser. The source does not describe its controls, so follow the labels on the page. On your own computer, start it with the command below.

python app.py

Example

If the app takes audio or documents, the sample files in the repository, test_audio.wav and test_report.pdf, are a safe first thing to try. Give one to the app and read what it returns.

For newcomers and experts

If you are new, open the Space online and try the inputs it shows. Start with the sample audio or PDF if it accepts them, and change one thing at a time.

If you know the field, the app uses Gradio 5.9.1 on Python 3.11 and sits on cpu-basic hardware at Hugging Face, so no GPU is named. The repository has a src folder, a data folder and a script whose name suggests it builds the test files, which keeps the media tests repeatable.

  1. You open the Space or run app.py
  2. The Gradio page loads in your browser
  3. You give the app an input
  4. You read what it returns

Good to know

The source is thin, so treat this page as a pointer to the code, not a feature list.

  • License: mit, as listed on Hugging Face
  • Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware
  • Data it reaches: whatever you enter on the online Space is handled on Hugging Face's servers, and a local copy downloads the Space's files
  • Not for: the source lists no exclusions, but do not rely on it alone for medical decisions

README and files

README

SehatAI - Pakistan Health Intelligence

Offers a health-themed Gradio app for Pakistan that you open in the browser or run on your own computer. Suits curious users and developers who want to read its code.

Made by AreejNamwz 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: SehatAI is a Gradio app on Hugging Face Spaces, subtitled Pakistan Health Intelligence. The page gives no description beyond that name, so what it does is only hinted at by its files. They include a data folder, a src folder, a media pipeline test, a sample audio file and a sample PDF report.

Who it suits: By its name, it suits people interested in health information tied to Pakistan, and developers who want to read a small Gradio project. The page does not say who it is meant for.

Industry | Who uses it | How they use it | Example
Health information | Curious users | Open the app to see what it offers | Load the Space and read the page's own labels
Public health | Analysts | Look at the project's data folder | Browse the data folder in the repository
Software | Developers | Read how a Gradio app tests audio and media handling | Open the media pipeline test file
Education | Students | Study a small health-themed AI app | Run a copy locally and follow app.py

Skip it if you need documented features, since the source describes none.

Where to use it:

  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python 3.11
Use case | Who | What they get back
Trying the app | Anyone curious | Whatever the app returns for your input
Reading the code | Developers | A Gradio project with a src folder and tests
Running locally | Learners | A copy of the app on your own computer

How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following.

  • Python 3.11 with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub client.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install the Gradio version the Space pins.
  5. Install the remaining packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download AreejNamwz/sehat-ai --repo-type space --local-dir sehat-ai
cd sehat-ai
pip install gradio==5.9.1
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and the app loads in your browser. The source does not describe its controls, so follow the labels on the page. On your own computer, start it with the command below.

python app.py

Example: If the app takes audio or documents, the sample files in the repository, test_audio.wav and test_report.pdf, are a safe first thing to try. Give one to the app and read what it returns.

For newcomers and experts: If you are new, open the Space online and try the inputs it shows. Start with the sample audio or PDF if it accepts them, and change one thing at a time.

If you know the field, the app uses Gradio 5.9.1 on Python 3.11 and sits on cpu-basic hardware at Hugging Face, so no GPU is named. The repository has a src folder, a data folder and a script whose name suggests it builds the test files, which keeps the media tests repeatable.

You open the Space or run app.py
The Gradio page loads in your browser
You give the app an input
You read what it returns

Good to know: The source is thin, so treat this page as a pointer to the code, not a feature list.

  • License: mit, as listed on Hugging Face
  • Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware
  • Data it reaches: whatever you enter on the online Space is handled on Hugging Face's servers, and a local copy downloads the Space's files
  • Not for: the source lists no exclusions, but do not rely on it alone for medical decisions

On Hugging Face, 13 November 2026

  • Likes: 1
  • Built with: gradio
  • License: mit

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 · 2026-11-12

Compare with similar

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

ProductLikesBuilt withLicenseLast change
SehatAI - Pakistan Health Intelligence This page1gradiomit
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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