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import gradio as gr
from fastai.vision.all import *
# def greet(name):
# return "Hello " + name + "!!"
learn = load_learner('mig_or_su.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.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch()
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch() |