app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../Deploy to HF Space.ipynb.

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

# %% ../Deploy to HF Space.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% ../Deploy to HF Space.ipynb 3
learn = load_learner('model.pkl')

# %% ../Deploy to HF Space.ipynb 7
bear_types = learn.dls.vocab

# bear_types

# %% ../Deploy to HF Space.ipynb 9
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(bear_types, map(float, probs)))

# %% ../Deploy to HF Space.ipynb 12
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg']
title = "Bear Classification"
description = "To classify a bear, simply upload your image, or click one of the examples to load them. Please use a cropped portrait picture for best results similar to the examples below."

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