app.py

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

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

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

def is_cat(x): return x[0].isupper()

# %% ../dogs_vs_cats.ipynb 5
learn = load_learner('./assets/model_dogs_cats.pkl')


# %% ../dogs_vs_cats.ipynb 9
categories:list = ('Dog', 'Cat')

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

# %% ../dogs_vs_cats.ipynb 12
# creating the gradio interface

image = gr.Image(height=192, width=192)
label = gr.Label()
examples:list = ['./assets/dog.png', './assets/cat.png', './assets/feline_bulldog.png']

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