import gradio as gr | |
import fastbook | |
fastbook.setup_book() | |
from fastbook import * | |
from fastai.vision.widgets import * | |
learn = load_learner('bear_model.pkl') | |
categories = ("black", "grizzly", "teddy") | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
demo = gr.Interface(fn=classify_image, inputs="image", outputs="label") | |
demo.launch() |