File size: 635 Bytes
0c3a0c3 28cd2fc 0c3a0c3 722789a 28cd2fc 0c3a0c3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | __all__ = ['is_rare', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
# Cell
from fastai.vision.all import *
import gradio as gr
def is_rare(x):
return x[0].isupper()
learn = load_learner('model.pkl')
#Cell
categories = ("Rare", "WellDone")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['rare.jpg', 'welldone.jpg', 'dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False) |