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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['img', 'path', 'filename', 'learn', 'searches', 'title', 'description', 'examples', 'demo', 'classify_image']
# %% app.ipynb 1
from fastbook import search_images_ddg
from fastdownload import download_url
from fastai.vision.all import *
import gradio as gr
import torch
# %% app.ipynb 4
img = PILImage.create('grizzly.jpg')
img.thumbnail((192,192))
img
# %% app.ipynb 5
path = Path()
filename = path.ls(file_exts='.pkl')
filename[0].name
# %% app.ipynb 6
learn = load_learner(filename[0].name)
# %% app.ipynb 8
searches = ("grizzly bears","black bears","teddy bears")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(searches, map(float,probs)))
# %% app.ipynb 10
title = "FastAi demo"
description = "This demo is the original"
examples = ["grizzly.jpg"]
# %% app.ipynb 11
demo = gr.Interface(
fn=classify_image,
inputs="image",
outputs="label",
title=title,
description=description,
examples = examples)
demo.launch()
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