#!/usr/bin/env python
# coding: utf-8
# Dogs vs Cats

#|export
from fastai.vision.all import *
import gradio as gr
import os

def is_cat(x): return x[0].isupper()

#|export
learn = load_learner('model.pkl')

#|export
categories = ('Dog', 'Cat')

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

#|export
image = gr.components.Image(shape=(192, 192))
label = gr.components.Label()
examples = [
    os.path.join(os.path.dirname(__file__), "dog.jpg"),
    os.path.join(os.path.dirname(__file__), "cat.jpg"),
    os.path.join(os.path.dirname(__file__), "dunno.jpg"),
]

intf = gr.Interface(
    fn=classify_image, 
    inputs=image, 
    outputs=label, 
    examples=examples,
    flagging_options=["incorrect", "other"]  # Adjust flagging options as needed
)

if __name__ == "__main__":
    intf.launch(inline=False, share=True)