README copy.md

metadata

title: Pest and Disease Classification 🌿
emoji: 🌱
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false

🌿 Pest and Disease Classification Demo

This demo provides a simple web interface for classifying pests and diseases in citrus leaves.

🧠 Model

The model is based on a CNN backbone (ResNet50 by default) trained on a labeled dataset of citrus plant leaves.

• Framework: PyTorch
• Interface: Gradio
• Backbone: ResNet50
• Task: Image classification

🚀 How to Use

1. Click “Upload Image” and select a photo of a citrus leaf.
2. The app will output the predicted pest or disease category with confidence scores.

📂 Repository Structure