n0minal / app.py
m0saan
dog cat classifier app
fa745f1
raw
history blame
730 Bytes
# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_prod.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'intrf', 'is_cat', 'classify_image']
# %% ../02_prod.ipynb 47
from fastai.vision.all import *
import gradio as gr
# %% ../02_prod.ipynb 48
def is_cat(x): return x[0].isupper()
# %% ../02_prod.ipynb 49
learn = load_learner('model.pkl')
# %% ../02_prod.ipynb 50
categories = 'Dog', 'Cat'
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% ../02_prod.ipynb 51
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
intrf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intrf.launch(inline=False)