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


plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath



learn = load_learner("export.pkl" )
bear_types = ('grizzly' , 'black' , 'teddy')

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



image = gr.inputs.Image(shape=(224 , 224))

label = gr.outputs.Label()

examples = ["teddy.jpg" , "black.jpg" , "grizzly.jpg" ]


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