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

learn = load_learner('model.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))}


ui = gr.Interface(
    inputs=gr.Image(type="pil", label="Upload Image", width=512, height=512),
    fn=predict,
    outputs=gr.Label(num_top_classes=3),
    flagging_options=["blurry", "incorrect", "other"],
    examples=[
        os.path.join(os.path.dirname(__file__), "samples", "pikachu.png"),
        os.path.join(os.path.dirname(__file__), "samples", "raichu.jpeg"),
        os.path.join(os.path.dirname(__file__), "samples", "mimikyu.jpeg"),
        os.path.join(os.path.dirname(__file__), "samples", "charmander.jpeg"),
        os.path.join(os.path.dirname(__file__), "samples", "bulbasaur.png"),
        os.path.join(os.path.dirname(__file__), "samples", "squirtle.png"),
        os.path.join(os.path.dirname(__file__), "samples", "dunno.jpeg"),



    ]
)

ui.title = "Pikachu or Raichu or Mimikyu?"
ui.description = "This is a simple image classifier that can classify between Pikachu, Raichu and Mimikyu."

ui.launch(share=True)