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

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

from huggingface_hub import from_pretrained_fastai

learn = from_pretrained_fastai("Pistu69/fish-recogizer-for-anglers")

# %% app.ipynb 8
categories=tuple(learn.dls.vocab)
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

# %% app.ipynb 10
image = gr.Image()
label = gr.Label()
examples = ["Carassius carassius.jpg","Cyprinus carpio.jpg"]

intf = gr.Interface(
    fn=classify_image,
    inputs=image,
    outputs=label,
    examples=examples
)

intf.launch()