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# AUTOGENERATED! DO NOT EDIT! File to edit: ../Model into Production.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# %% ../Model into Production.ipynb 1
from fastai.vision.all import *
# %% ../Model into Production.ipynb 2
import gradio as gr
from gradio import *
from gradio.components import Image, Label
# %% ../Model into Production.ipynb 3
def is_cat(x): return x[0].issupper()
# %% ../Model into Production.ipynb 5
learn = load_learner('model.pkl')
# %% ../Model into Production.ipynb 7
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% ../Model into Production.ipynb 9
# Initialize the image input component with the specified shape
image = Image()
# Initialize the label output component without the 'type' argument
label = Label()
example = ['dog.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
intf.launch(share=True) |