app.py

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

# %% auto 0
__all__ = ['learn', 'categories', 'img', 'label', 'examples', 'intf', 'classify_img']

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

# bean_lesion_re = r'^(.+)_train'


# %% ../app.ipynb 3
learn = load_learner('model.pkl')

# %% ../app.ipynb 5
categories = ('angular_leaf_spot', 'bean_rust', 'healthy')

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

# %% ../app.ipynb 7
img = gr.Image()
label = gr.Label()
examples = ['healthy.jpg', 'angular_leaf_spot.jpg', 'bean_rust.jpg']

intf = gr.Interface(fn=classify_img, inputs=img, outputs=label, examples=examples)
intf.launch(inline=False)