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


categories = ("Goat 🐐", "No Goat 😬")

model = load_learner('model.pkl')

def classify_image(img):
    pred, idx, probs = model.predict(img)
    print("pred: ", pred)
    
    return dict(zip(categories, map(float, probs)))

intf = gr.Interface(
    fn=classify_image, inputs=gr.Image(type="pil"),
    outputs=gr.Label(num_top_classes=2), 
    examples=['images/cristiano.jpg', 'images/messi.jpg']
    )
intf.launch(inline=False)