import gradio as gr
from fastai.vision.all import *
import skimage

learn = load_learner('export.pkl')

labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Kapu"
description = "An app for Chicken Disease Classisfication"
article="<p style='text-align: center'>The app identifies and classifies three chicken diseases: Coccidiosis, Salmonella, and Newcastle, aiding in effective disease management for poultry farming.</p>"
examples = ['test_image.png']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples).launch()