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# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% app.ipynb 2
from fastai.vision.all import *
import gradio as gr
from huggingface_hub import from_pretrained_fastai
learn = from_pretrained_fastai("Pistu69/fish-recogizer-for-anglers")
# %% app.ipynb 8
categories=tuple(learn.dls.vocab)
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% app.ipynb 10
image = gr.Image()
label = gr.Label()
examples = ["Carassius carassius.jpg","Cyprinus carpio.jpg"]
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples
)
intf.launch()
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