app.py

import gradio as gr
from crop_health_monitor.inference.inference import load_disease_pipeline, diagnose

# load your published model or local checkpoint
pipe = load_disease_pipeline("CZerion/crop_health_monitor")

iface = gr.Interface(
    fn=lambda img: diagnose(img, pipe),
    inputs=gr.Image(type="pil", label="Upload Leaf Image"),
    outputs=[
        gr.Textbox(label="Disease Predictions (Top 3)"),
        gr.Textbox(label="Care Advice")
    ],
    title="Plant Disease Monitor",
    description="Upload a crop leaf photo to detect diseases using a fine-tuned model."
)

if __name__ == "__main__":
    iface.launch()