app.py

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

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

# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr

def is_cat(x): return x[0].isupper() #same function as the function used in model

# %% app.ipynb 3
learn = load_learner('model.pkl')

# %% app.ipynb 5
categories = ('Dog', 'Cat')

# gradio requires a function
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories,map(float,probs)))

# %% app.ipynb 7
image = gr.inputs.Image(shape = (192,192)) #reshapes image
label = gr.outputs.Label() #not sure what this does
examples = ['dog.jpeg', 'cat.jpeg', 'dunno.jpeg']

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