|
|
|
__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf'] |
|
|
|
import fastbook |
|
import gradio as gr |
|
from fastai.vision.all import * |
|
|
|
def is_cat(x): return x[0].isupper() |
|
|
|
learn_inf = load_learner(path/'model.pkl') |
|
|
|
categories =('Dog','Cat') |
|
def classify_image(img): |
|
pred, idx, probs = learn_inf.predict(img) |
|
return dict(zip(categories, map(float, probs))) |
|
|
|
image = gr.inputs.Image(shape=(192,192)) |
|
label = gr.outputs.Label() |
|
examples = ['dog.jpeg','cat.jpeg','catdog.jpeg'] |
|
intt = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
|
|
|
iface.launch(inline=False) |
