app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: drive/MyDrive/Colab Notebooks/dogs-vs-cats.ipynb.

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

# %% drive/MyDrive/Colab Notebooks/dogs-vs-cats.ipynb 2
from fastai.vision.all import *
import gradio as gr

def is_cat(x): return x[0].isupper()

# %% drive/MyDrive/Colab Notebooks/dogs-vs-cats.ipynb 4
learn = load_learner('model.pkl')

# %% drive/MyDrive/Colab Notebooks/dogs-vs-cats.ipynb 6
categories = ['Dog', 'Cat']

def classify_image(img):
  pred, idex, prob = learn.predict(img)
  return dict(zip(categories, map(float, prob)))

# %% drive/MyDrive/Colab Notebooks/dogs-vs-cats.ipynb 8
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.png' ]

intf = gr.Interface(
    title="Dogs vs Cats",
    description="Upload a photo of a dog or cat and see it get classified!",
    fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)