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from fastai.vision.all import *
import gradio as gr
def label_func(x):
if "Raven" in x.parent.name:
return "raven"
else:
return "crow"
categories = ("raven", "crow")
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
learn = load_learner("model.pkl")
image = gr.inputs.Image(shape=(400, 400))
label = gr.outputs.Label()
examples = ["examples/crow.jpg", "examples/raven.jpg"]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False) |