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

learn = load_learner('plaza.pkl')

categories = ('españa','berlin', 'new york times square', 'dublin', 'miami beach')

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 = ['riuplazaberlin.jpg', 'riuplazaberlin.jpg', 'riuplazamiami.jpg']
    
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch()