from fastai.vision.all import *
import gradio as gr

def is_guitar(x): return x[0].isupper()

learn = load_learner('model.pkl')

catagories = ('Acoustic guitar','Violin', 'Chello')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(catagories, map(float,probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch()