LittleWing/lightpost

1from fastai.vision.all import *2import gradio as gr3 4def is_guitar(x): return x[0].isupper()5 6learn = load_learner('model.pkl')7 8catagories = ('Acoustic guitar','Violin', 'Chello')9def classify_image(img):10    pred, idx, probs = learn.predict(img)11    return dict(zip(catagories, map(float,probs)))12 13image = gr.inputs.Image(shape=(192,192))14label = gr.outputs.Label()15 16intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)17intf.launch()