__all__ = ["is_cat", "learn", "classify_image", "categories", "image", "label", "examples", "intf"]

import fastai

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

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

learn = load_learner('model.pkl')

categories = ("Dog", "Cat")

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return(dict(zip(categories,map(float,probs))))
    
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["Guoba.jpeg",'Cassiopeia.jpg',"Nashoba.jpg","deer.jpeg","elephant.jpeg","butterfly.jpeg"]
intf = gr.Interface(fn=classify_image,inputs = image, 
                    outputs = label, examples = examples)
intf.launch(inline=False)