app.py

__all__ = ['learn', 'categories', 'classify_images', 'image', 'label', 'intf']


from selectors import DefaultSelector
from turtle import title
from fastai.vision.all import *
import gradio as gr

learn = load_learner('export.pkl')

categories = ('barn', 'barred', 'snowy')

def classify__images(img):
    preds,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()

intf = gr.Interface(
    title = "Owl Detector",
    description = "A classifier that classifies between three types of owl (Barn, Barred, Snowy)",
    fn=classify__images, inputs=image, outputs=label)
intf.launch(inline=False)