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from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('instrument_model.pkl'); | |
vocab = ['clarinet', 'french horn', 'oboe', 'oboe d amore', 'saxophone', 'trombone', 'trumpet'] | |
def classify_image(image): | |
pre, idx, probs = learn.predict(image) | |
return dict(zip(vocab, map(float, probs))) | |
image = gr.inputs.Image(shape=(250, 250)) | |
label = gr.outputs.Label() | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
intf.launch(inline=False) | |