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

# %% auto 0
__all__ = ['learner', 'categories', 'ifc', 'label_func', 'classify_image']

# %% app.ipynb 1
# import gradio as gr
# # from fastai.vision.all import vision_learner

# def greet(val1, val2):
#     return int(val1) + int(val2)

# iface = gr.Interface(fn=greet, inputs=["text", "text"], outputs="text")
# iface.launch(share=False)

# %% app.ipynb 3
from fastai.vision.all import *

def label_func(fname):
    return fname.name.split('_')[1].split('.')[0].strip()

learner = load_learner('fruits.pkl')

# %% app.ipynb 4
categories = learner.dls.vocab

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

# %% app.ipynb 5
from re import I
import gradio as gr

ifc = gr.Interface(fn=classify_image,
                   inputs=gr.Image(type='pil', label='Input Image'),
                   outputs=gr.Label(num_top_classes=6)
    )
ifc.launch()