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

learn = load_learner("fruits-model-v1.pkl")


def classify_fruit(img):
    pred, idx, probs = learn.predict(img)
    return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}

image = gr.Image(width=224, height=224, type="pil")
label = gr.Label()

inter = gr.Interface(fn=classify_fruit, inputs=image, outputs=label)
inter.launch(inline=False)