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import gradio as gr
from fastai.vision.all import *
learn = load_learner('./model.pkl')
categories = ('Car in good condition','Damaged Car')
def is_car(x) : return x[0].isupper()
def image_classifier(img):
pred,index,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# image = gr.inputs.Image(shape=(192,192))
image = gr.components.Image(shape=(192,192))
label = gr.components.Label()
examples = ['./car.jpg','./crash.jpg','./carf.jpg', '/crash2.jpg']
intf = gr.Interface(fn= image_classifier,inputs=image,outputs=label,examples=examples)
intf.launch() |