nbs/app.py

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

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

# %% app.ipynb 3
from fastai.vision.all import *
import gradio as gr

import pathlib
import os

# %% app.ipynb 4
path = pathlib.Path('.')

try:    
    path = pathlib.Path(__file__).parent.resolve()
except NameError:    
    if 'SPACE_ID' in os.environ:         
         path = pathlib.Path('nbs')  

model_path = path / 'model.pkl'

learn = load_learner(model_path)

# %% app.ipynb 5
categories = learn.dls.vocab

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

# %% app.ipynb 6
image = gr.Image(type="pil")
label = gr.Label()

examples = [
    path / 'black_bear.jpg',
    path / 'grizzly_bear.jpg',
    path / 'teddy_bear.jpg'
    ]

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

intf.launch(inline=False)