#!/usr/bin/env python3

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

learn = load_learner("serif-sans.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))}


title = "Font Classifier"
description = "A font classifier trained on images from identifont.com with fastai. Created as a project for Week 2 of the 2022 FastAI course."
article = ""  # Use in case I write a blogpost about this.
examples = ["serif.gif", "sans.gif"]
interpretation = "default"
enable_queue = True

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(512, 512)),
    outputs=gr.outputs.Label(num_top_classes=2),
    title=title,
    description=description,
    article=article,
    examples=examples,
    interpretation=interpretation,
    enable_queue=enable_queue,
).launch()