anaksor-ocr
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Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
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.
pip install -U huggingface_hub hf download AreejNamwz/sehat-ai --repo-type space --local-dir sehat-ai cd sehat-ai
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.
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.
| 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 |
The online copy needs nothing. For a copy on your own computer, you need the following.
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
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
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.
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.
The source is thin, so treat this page as a pointer to the code, not a feature list.
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.
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:
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.
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.
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.
README.md 4 KB
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| SehatAI - Pakistan Health Intelligence This page | 1 | gradio | mit | |
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