app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../00_core.ipynb.

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

# %% ../00_core.ipynb 3
from pathlib import Path
from fastai.vision.all import *
from fastai.vision.widgets import *
import gradio as gr

# %% ../00_core.ipynb 4
learn = load_learner('export.pkl')

# %% ../00_core.ipynb 5
categories=['black', 'grizzly', 'teddy']
 
def classify_image(img):
    "classifies bear image as either a black, grizzly, or teddy bear"
    pred,idx,props = learn.predict(img)
    return dict(zip(categories, map(float, props)))

# %% ../00_core.ipynb 7
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
# examples = ['do']

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