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

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

learn = load_learner('rodent_model.pkl')

categories = ('Chinchilla', 'Guinea Pig', 'Hamster')

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 = ['chinchilla.jpg', 'hamster.jpg', 'guinea_pig.jpg']

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