# AUTOGENERATED! DO NOT EDIT! File to edit: chess-deployment.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% chess-deployment.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% chess-deployment.ipynb 3
learn = load_learner("chess-model.pkl")

# %% chess-deployment.ipynb 5
categories = ("Bishop", "King", "Knight", "Pawn", "Queen", "Rook")

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

# %% chess-deployment.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["bishop.png", "king.jpg", "knight.png", "rook.jpg", "pawn.jpg"]

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title="Chess Piece Classifier", description="Classify chess pieces into King, Queen, Bishop, Knight, Rook, or Pawn")
intf.launch(inline=False)