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import gradio as gr | |
import fastai | |
from fastai.vision.all import * | |
def label_func(x): | |
if x.name[0] == 'm': | |
return "Mustang" | |
elif x.name[1] == "a": | |
return "Camaro" | |
elif x.name[1] == "h": | |
return "Challenger" | |
learn = load_learner('export-2.pkl') | |
labels = learn.dls.vocab | |
def predict(img): | |
img = PILImage.create(img) | |
pred,pred_idx,probs = learn.predict(img) | |
return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
gr.Interface(fn=predict, inputs=gr.Image(type='pil'), outputs=gr.Label(num_top_classes=3)).launch(share=True) | |