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

learn = load_learner('bearModel.pkl')

categories = ("grizzly", "black", "teddy", "polar")

def classify_img(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 = ['bear_2.jpg','bear_4.jpg','bear_5.jpg','bear_6.jpg']



def greet(name):
    return "Hello " + name + "!!"


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