README.md

---
title: Sickelcellcdcd
emoji: 📉
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 5.45.0
app_file: app.py
pinned: false
license: mit
---





# Sickle Cell Classification Gradio App

This repository contains a Gradio application for classifying blood smear images into three categories: Sickle Cell (sickle), Non-Sickle (non_sickle), and Artifact/Impurities/Noise (AIN).

The application uses a trained YOLOv8 classification model.

## Files

- `app.py`: The Python code for the Gradio interface.
- `requirements.txt`: Lists the Python dependencies required to run the app.
- `sickle_cls_model/weights/best.pt`: The trained YOLOv8 model weights.

## Setup and Running

1. Clone this repository.
2. Install the dependencies: `pip install -r requirements.txt`
3. Ensure the `sickle_cls_model` directory containing the `best.pt` weights is in the same directory as `app.py`, or update the `model_path` variable in `app.py` to the correct location.
4. Run the Gradio app: `python app.py`

The Gradio interface will launch in your browser.