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a1c5266 df1982d a1c5266 df1982d a1c5266 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% ../app.ipynb 1
import sys
import subprocess
subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'gradio==3.50'])
subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'fastai'])
subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ipywidgets'])
from fastai.vision.all import *
import gradio as gr
import timm
# %% ../app.ipynb 3
learn = load_learner('model.pkl')
# %% ../app.ipynb 5
categories = learn.dls.vocab
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(fload, probs)))
# %% ../app.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['basset.jpg']
# %% ../app.ipynb 8
intf = gr.Interface(fn=classify_image, inputs = image, outputs=label)
intf.launch(inline=False)
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