File size: 594 Bytes
9f3511d d3a9ba1 9f3511d d3a9ba1 9f3511d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | from fastai.vision.all import *
import gradio as gr
def is_cat(x): return [0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog', 'Cat')
#define funciton for gradio to call
def classify_image(img):
pred,idx,probs = learn.predice(img)
return dict(zip(categories, map(float,probs))) #gradio wants a dict of labels and probabilities of each
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
intf.launch(inline=False) |