# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
# %% auto 0 | |
__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
# %% ../app.ipynb 2 | |
from fastai.vision.all import * | |
import gradio as gr | |
# def is_cat(x): | |
# x[0].is_upper() | |
# %% ../app.ipynb 5 | |
learner = load_learner("model2.pkl") | |
# %% ../app.ipynb 7 | |
categories = ("black", "grizzly", "teddy") | |
def classify_image(im): | |
pred, idx, probs = learner.predict(im) | |
return dict(zip(categories, map(float, probs))) | |
# %% ../app.ipynb 11 | |
# image = gr.inputs.Image(shape=(192, 192)) | |
# label = gr.outputs.Label() | |
examples = ["teddy.jpg", "grizzly.jpg", "black.jpg"] | |
intf = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples) | |
#intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
# intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) | |