app.py

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

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

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

# %% ../bear_detector.ipynb 3
learn = load_learner("bear_detector.pkl")

# %% ../bear_detector.ipynb 5
bear_categories = ('grizzly','black','teddy')

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

# %% ../bear_detector.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["gradio_examples/black1.jpg",
            "gradio_examples/black2.jpg",
            "gradio_examples/black3.jpg",
            "gradio_examples/teddy1.jpg"
            ]

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