app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_production.ipynb.

# %% auto 0
__all__ = ['categories', 'model', 'stem', 'learn', 'image', 'label', 'file_list', 'examples', 'intf', 'classify_image']

# %% ../02_production.ipynb 52
from fastai.vision.all import *
import gradio as gr

# %% ../02_production.ipynb 54
categories = ('black','grizzly','teddy')

# %% ../02_production.ipynb 57
def classify_image(img):
    pred,idx, probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

# %% ../02_production.ipynb 59
model = 'model.pkl'
stem = 'examples/'

# %% ../02_production.ipynb 61
learn = load_learner(model)
image = gr.components.Image(width=224, height=224)
label = gr.components.Label()

file_list = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']

examples = list(map(lambda x: stem + x, file_list))

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