# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

# %% auto 0
__all__ = ['learn', 'labels', 'examples', 'add_image_label', 'predict']

# %% app.ipynb 2
import timm
from fastai.vision.all import *
import gradio as gr


def add_image_label(x):
    names = ["gond", "kalighat", "kangra", "madhubani", "mandana", "pichwai", "warli"]
    for name in names:
        if name in Path(x).name:
            return name
        elif "kerala" in Path(x).name:
            return "kerala mural"
    return "unknown"

# %% app.ipynb 4
learn = load_learner("model.pkl")

# %% app.ipynb 6
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))}


# %% app.ipynb 8
examples = ["examples//warli.jpeg", "examples//madhubani.jpg"]
gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=3), examples = examples, title = "Indian Art Classifier").launch(inline=False, debug=True)