Spaces:
Sleeping
Sleeping
File size: 1,361 Bytes
5556340 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
# 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)
|