dee/.ipynb_checkpoints/app-checkpoint.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.

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

# %% ../app.ipynb 3
import gradio as gr


# %% ../app.ipynb 6
def is_cat(x): return x[0].isupper() 

# %% ../app.ipynb 9
ategories = ('Dog', 'Cat')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    print(map(float, probs))
    return dict(zip(categories, map(float, probs)))
    

# %% ../app.ipynb 11
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.webp', 'cat.png', 'dunno.jpeg']

intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)