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

learner = load_learner('doc_classifier_model.pkl')

categories = learner.dls.vocab

def classify_doc(img):
    pred, idx, probs = learner.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label(num_top_classes=3)
examples = [
    ['factura.jpg'],
    ['boleta.jpg'],
    ['formulario.jpg']
]

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