__all__ = ["label_func", "learner", "classify_image", "categories", "image", "label", "examples", "demo"]

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

def label_func(f): return f[0] == 'p'
def acc_camvid(*_): pass
def get_y(*_): pass

learner = from_pretrained_fastai("reshane/PoisonIvy")

categories = ('Not Poison Ivy', 'Poison Ivy')


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

image = gr.Image(type="filepath", width=192, height=192)
label = gr.Label()
examples = ["pepe.jpg"]



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