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9b8b8ea b3fe3d0 9b8b8ea b3fe3d0 9b8b8ea b3fe3d0 9b8b8ea b3fe3d0 9b8b8ea b3fe3d0 9b8b8ea b3fe3d0 9b8b8ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | from fastai.vision.all import *
import gradio as gr
import pathlib
def is_cat(x): return x[0].isupper()
learn = load_learner('dogcatmodell.pkl')
categories = ('Cat', 'Dog')
def classify_image(img):
pred, _, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dogcat.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False) |