File size: 897 Bytes
e62e4eb 68ced28 e62e4eb fafcd39 e62e4eb 68ced28 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | #!/usr/bin/env python
# coding: utf-8
# Dogs vs Cats
#|export
from fastai.vision.all import *
import gradio as gr
import os
def is_cat(x): return x[0].isupper()
#|export
learn = load_learner('model.pkl')
#|export
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
#|export
image = gr.components.Image(shape=(192, 192))
label = gr.components.Label()
examples = [
os.path.join(os.path.dirname(__file__), "dog.jpg"),
os.path.join(os.path.dirname(__file__), "cat.jpg"),
os.path.join(os.path.dirname(__file__), "dunno.jpg"),
]
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples,
flagging_options=["incorrect", "other"] # Adjust flagging options as needed
)
if __name__ == "__main__":
intf.launch(inline=False, share=True)
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