app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../001_bunnies_recognition.ipynb.

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

# %% ../001_bunnies_recognition.ipynb 33
from fastai.vision.all import *
import gradio as gr

# %% ../001_bunnies_recognition.ipynb 35
learn = load_learner('model_bunnies.pkl')

# %% ../001_bunnies_recognition.ipynb 37
categories = ('Bunny', 'Nijntje', 'Peter Rabbit', 'Simon')

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

# %% ../001_bunnies_recognition.ipynb 39
image = gr.Image(width=512, height=512)
label = gr.Label()
# examples = ['nijn.jpg', 'nijntjesimon.png', 'simon.jpg', 'bunny.jpg']
examples = ['./bunnies_examples/img001.jpeg',
            './bunnies_examples/img002.png',
            './bunnies_examples/img003.jpeg',
            './bunnies_examples/img004.png',
            './bunnies_examples/img005.png',
            './bunnies_examples/img006.png',
            './bunnies_examples/img007.jpeg',
            './bunnies_examples/img008.jpg',
            './bunnies_examples/miff_handdrawn.jpeg',
            './bunnies_examples/ttaro_bunny.png'
           ]

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