File size: 773 Bytes
8f9f98b 53db012 8f9f98b 363afac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
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()
|