from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('trombones.pkl') | |
categories = learn.dls.vocab | |
def predict(img): | |
img = PILImage.create(img) | |
pred, pred_idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label()).launch(inline=False) |