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

learn = load_learner('trombones.pkl')
categories = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label()).launch(inline=False)