#|export | |
from fastai.vision.all import * | |
import gradio as gr | |
#|export | |
learn = load_learner('export.pkl') | |
#|export | |
categories = ('Gravel Bike','Mountain Bike','Road Bike') | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories,map(float,probs))) | |
#|export | |
examples = ['mtb.jpg','road.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs="image", outputs="label",examples=examples) | |
intf.launch(inline=False) |