app.py

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

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

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

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

# %% ../cat_dog_predict.ipynb 3
learn = load_learner('cat_dog_model.pkl')

# %% ../cat_dog_predict.ipynb 4
categories = ('Dog', 'Cat')

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

# %% ../cat_dog_predict.ipynb 6
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpeg', 'cat.jpeg','cat.png', 'bear.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)