app.py

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

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

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

# %% app.ipynb 3
learn = load_learner('us_flag_classifier_model.pkl')

# %% app.ipynb 6
def classify_image(img):
    pred, pred_idx, probs =  learn.predict(img) 
    return dict(zip(learn.dls.vocab, map(float,probs)))

# %% app.ipynb 7
image = gr.components.Image(shape=(192,192))
label = gr.components.Label(num_top_classes=5)
examples = ['california.jpg','virginia.jpg','unnamed.jpg']

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