app.py

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

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

# %% ../app.ipynb 0
from fastai.vision.all import *
import PIL
import gradio as gr

def is_cat(x):
    return x[0].isupper()
# %% ../app.ipynb 3
learn = load_learner('model.pkl')

# %% ../app.ipynb 5
categories = learn.dls.vocab

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

# %% ../app.ipynb 
image = gr.Image(shape=(192,192))
label = gr.Label()
examples = ['americanBulldog.jpg', 'bernard.jpg', 'ragdoll.jpg', 'ragdoll1.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)