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

repo_id = "samrosenf/avocados"

learner = from_pretrained_fastai(repo_id)
categories = learner.dls.vocab

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

image = gr.Image()
label = gr.Label()
examples = ['hass.jpg', 'reed.jpg', 'ettinger.jpg']

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