README.md

metadata

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.