import subprocess
import sys

subprocess.check_call([sys.executable, "-m", "pip", "install", "fastai"])
subprocess.check_call([sys.executable, "-m", "pip", "install", "gradio"])
__all__ =['is_cat','learn','classify_image','categories','image','label','examples','InFace']
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()

im = PILImage.create('dog.jpg')


learn = load_learner('model.pkl')
learn.predict(im)

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 = ['dog.jpg','cat.jpg','N.jpg']

InFace = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
InFace.launch(inline=False)