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

# Cargamos el modelo
learn = load_learner('model.pkl')
labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

# Interfaz de Gradio
interface = gr.Interface(
    fn=predict, 
    inputs=gr.Image(shape=(512, 512)), 
    outputs=gr.Label(num_top_classes=3),
    title="Clasificador de Utensilios de Laboratorio",
    description="Sube una foto de un utensilio para identificarlo."
)

interface.launch()