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import gradio as gr
from fastai.vision.all import *
def greet(name):
return "Hello " + name + "!!"
learn = load_learner('condensed_model.pkl')
def classify_image(image):
prediction, idx, probabilities = learn.predict(image)
return dict(zip(learn.dls.vocab, map(float, probabilities)))
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label(num_top_classes=3)
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True)
intf.launch(inline=False) |