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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
def greet(name):
return "Hello " + name + "!!"
catergories = ("strawberry", "blueberry", "raspberry", "cranberry", "mulberry", "other")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(128,128))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch(inline=False) |