app.py

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

learn = load_learner('spain_favela_01.pkl')

categories = learn.dls.vocab

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 = ['favela_rio_01.jpg', 'torrox_02.jpg']



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